وظائف مدخل بيانات في لبنان

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Appointment Scheduler Specialist (Entry-Level)</strong><br><strong>Location:</strong> <strong>Lebanon, Pennsylvania, United States</strong><br><strong>Employment Type:</strong> <strong>Full-Time &amp; Part-Time</strong><br><strong>Salary:</strong> <strong>$25 - $38 USD per hour</strong><br><strong>About Waga Energy</strong><br>Waga Energy is a pioneering organisation dedicated to combating climate change by upgrading landfill gas into grid-compliant Renewable Natural Gas (RNG), also known as biomethane. Our patented WAGABOX® technology, the result of ten years of dedicated research and development, recovers methane from waste breakdown and purifies it for direct injection into the gas grid. This innovative process combines membrane filtration and cryogenic distillation to produce high-quality biomethane from our fully automated, 24/7 remotely supervised units. With 23 units currently in operation and many more under construction globally, we are making a significant impact, having already avoided the emission of 190,000 tons of eqCO2. Headquartered in Grenoble, France, a world-renowned centre for high-tech innovation, Waga Energy is expanding rapidly with subsidiaries in the United States, Canada, and Spain.<br><strong>Job Overview</strong><br>We are seeking a motivated and highly organised Entry-Level Appointment Scheduler Specialist to join our dynamic team. In this crucial role, you will be the first point of contact for many of our stakeholders, responsible for efficiently managing and coordinating schedules. The ideal candidate will be an excellent communicator with a keen eye for detail and the ability to handle multiple priorities in a fast-paced environment. This position offers the flexibility of either <strong>day or night shifts</strong>.<br><strong>Key Responsibilities</strong><br></p><br><br><ul><li>Manage a high volume of inbound and outbound calls and emails to schedule appointments and site visits.</li><li>Coordinate complex calendars for multiple teams and individuals, ensuring no scheduling conflicts arise.</li><li>Communicate effectively with clients, partners, and internal staff to confirm, reschedule, or cancel appointments as necessary.</li><li>Maintain accurate and up-to-date records of all scheduling activities in our company database and CRM system.</li><li>Provide preparatory information to relevant parties ahead of scheduled meetings or visits.</li><li>Serve as a professional and knowledgeable representative of Waga Energy, providing exceptional customer service at all times.</li><li>Collaborate with various departments to ensure seamless operational workflow.</li></ul><p><strong>Qualifications and Skills</strong><br></p><br><br><ul><li>Exceptional organisational and time-management skills are essential.</li><li>Strong verbal and written communication abilities with a professional and courteous manner.</li><li>Proficiency in using standard office software, including MS Office Suite and calendar management applications.</li><li>A meticulous eye for detail and a commitment to accuracy.</li><li>The ability to work independently and collaboratively as part of a team.</li><li>A proactive approach to problem-solving and the ability to adapt to changing priorities.</li><li>Previous experience in a scheduling, administrative, or customer service role is advantageous but not required.</li></ul><br><p><strong>Benefits</strong></p><br><br><ul><li>Annual Base Salary Based on Experience</li><li>Work from Home</li><li>Flexible Schedule</li><li>Paid Time Off (PTO)</li><li><strong>Medical, Vision and Dental Insurance</strong></li></ul><br> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Data Pipeline &amp; Warehousing Engineer to design, build, and maintain reliable data pipelines and data warehouses in Lebanon, enabling scalable analytics and reporting for business and technical stakeholders. Job Purpose Own end-to-end ETL/ELT and data warehousing solutions ensuring data quality, high performance, and governed data models while automating monitoring, alerting, and operational support for analytics workloads. Job Duties and Responsibilities SQL (T-SQL/PostgreSQL/MySQL) ETL/ELT (Airflow, dbt) Python Cloud platforms (AWS/GCP/Azure) Big data tools (Spark) Data warehousing (Snowflake/BigQuery/Redshift) Version control (Git) Monitoring/logging (CloudWatch/Stackdriver) Problem-solving and analytical thinking Communication with stakeholders</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>SQL (T-SQL/PostgreSQL/MySQL)</li><li>ETL/ELT (Airflow, dbt)</li><li>Python</li><li>Cloud platforms (AWS/GCP/Azure)</li><li>Big data tools (Spark)</li><li>Data warehousing (Snowflake/BigQuery/Redshift)</li><li>Monitoring/logging (CloudWatch/Stackdriver)</li><li>Version control (Git)</li><li>Data governance / governed data models</li><li>Strong analytical and troubleshooting skills</li><li>Stakeholder communication skills</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What you will be doing?<br></strong>As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.<br></p><br><p><strong>Your responsibilities will include:</strong></p><br><ul><li>Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.</li><li>Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.</li><li>Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.</li><li>Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.</li><li>Utilising Spark &amp;amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.</li></ul><p><strong>What we are looking for?</strong></p><br><ul><li>Proficiency in Python, SQL, and database management.</li><li>Experience with Data Pipelines ETL, Cloud Services (<strong>MS Azure, GCP preferred)</strong>, ML Modeling, Spark &amp;amp; Kafka.</li><li>Proven problem-solving skills and a solution-oriented mindset.</li><li>Excellent communication skills to collaborate effectively within teams and with stakeholders.</li><li>Strong business acumen with an interest in business-facing roles.</li><li>Adaptability and a start-up mentality to thrive in a dynamic environment.</li><li>Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.</li><li>Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.</li></ul> </div>

<p>Join our team as a Data Analyst/Scientist to turn complex datasets into clear, actionable insights that drive measurable business improvements. You'll partner with stakeholders to design analyses, build predictive models, and deliver automated reporting that supports day-to-day and strategic decision-making.</p><p>Job Purpose The purpose of this role is to analyze data, build reliable data pipelines and predictive models, and communicate results through dashboards and stakeholder-ready reporting improving KPIs through data-driven recommendations with measurable impact.</p><p>Job Duties and Responsibilities</p><ul><li>SQL</li><li>Python (pandas, scikit-learn)</li><li>Data visualization (Tableau/Power BI)</li><li>ETL data pipelines</li><li>Statistics and experimentation (A/B testing)</li><li>Analytical thinking</li><li>Problem-solving</li><li>Attention to detail</li><li>Ownership and continuous improvement</li><li>Stakeholder communication</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>SQL</li><li>Python (pandas, scikit-learn)</li><li>Data visualization (Tableau/Power BI)</li><li>Statistics and experimentation (A/B testing)</li><li>ETL data pipelines</li><li>Analytical thinking</li><li>Problem-solving</li><li>Stakeholder communication</li><li>Attention to detail</li><li>Ownership and continuous improvement</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview The Data Quality Engineer will ensure the accuracy, consistency, and reliability of data across the Microsoft Fabric Data Warehouse, its integrations, and connected services. The role focuses on testing and validating data pipelines, event-driven processes, and Azure-based integrations such as Logic Apps and Service Bus. The engineer will collaborate closely with data engineers, architects, and business units to maintain high-quality, trustworthy data for analytics and reporting. Key Responsibilities Design, develop, and execute data quality and validation tests for Microsoft Fabric Data Warehouse objects (tables, views, semantic models). Validate ETL/ELT pipelines, including Fabric Dataflows and integrated source systems, for accuracy and completeness. Test and monitor event-driven data processes, including Azure Service Bus messages, queues, and topics. Validate Azure Logic Apps workflows and integrations that move or transform data between systems. Perform end-to-end testing of data ingestion, transformations, and delivery to downstream consumers or BI systems. Develop and maintain automated data quality checks, reconciliation scripts, and test frameworks. Identify, analyze, and report data quality issues, including root cause analysis and impact assessment. Collaborate with Data Engineers, BI teams, and business units to define data quality rules, metrics, and acceptance criteria. Monitor data quality KPIs, implement controls to prevent defects, and ensure reliability in production pipelines. Document test cases, workflows, data quality rules, and testing outcomes clearly for technical and business stakeholders. Familiarity with unit testing, automated data validation, and integration testing tools such as dbt, Great Expectations, tSQLt, pytest, Azure Logic Apps testing, and Service Bus testing scripts. Perform unit testing and validation of Azure Logic Apps workflows and Service Bus message flows. Develop and maintain automated data quality checks and integration tests using tools such as dbt, Great Expectations, or custom scripts. Validate and test API endpoints and integration workflows using tools such as Postman to ensure data is accurately transmitted between systems. Perform end-to-end testing of event-driven processes and service integrations using Postman and automated scripts.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><p>Required Skills &amp; Qualifications</p><ul><li>Strong experience in data quality testing and validation for data warehouses or large-scale analytics platforms.</li><li>Hands-on experience with Microsoft Fabric (Data Warehouse, Lakehouse, Pipelines, Dataflows).</li><li>Proficiency in SQL and experience validating ETL/ELT pipelines.</li><li>Experience with event-driven architectures and Azure integrations: Azure Service Bus (queues, topics, subscriptions) Azure Logic Apps for workflow automation</li><li>Experience testing data integrations across multiple source systems.</li><li>Familiarity with data quality concepts: completeness, accuracy, consistency, timeliness, uniqueness.</li><li>Experience with automation and scripting (Python, PySpark, PowerShell).</li><li>Understanding of data modeling concepts: star schema, snowflake, fact and dimension tables.</li><li>Strong analytical, problem-solving, and troubleshooting skills.</li><li>Excellent documentation and communication skills.</li><li>Familiarity with unit testing, automated data validation, and integration testing tools such as dbt, Great Expectations, tSQLt, pytest, Postman, Azure Logic Apps testing, and Service Bus testing scripts .</li></ul><p>Preferred / Nice to Have:</p><ul><li>Experience with data quality frameworks (e.g., Great Expectations).</li><li>Knowledge of Azure Data Factory, Synapse Analytics, and OneLake.</li><li>Familiarity with CI/CD pipelines for data platforms.</li><li>Understanding of data governance, metadata management, and auditing standards.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About us:</strong></p><br><p>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</p><br><p>We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</p><br><p>&amp;nbsp;</p><br><p><strong>About the role:</strong></p><br><p>As a Data Analyst, your role will encompass:</p><br><ul><li>Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data</li><li>Extracting valuable insights from our clients’ marketing-related data sources.</li><li>Designing dashboards for marketing decision-making while taking into account the business needs</li><li>Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.</li><li>Actively contributing to the expertise level and competencies of the Data &amp;amp; Analytics team</li><li>Closely collaborate with the other divisions (Media &amp;amp; Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients</li></ul><p>&amp;nbsp;</p><br><p><strong>Qualifications</strong></p><br><p>Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :</p><br><ul><li>A minimum of 1 year of work experience in a data-driven working environment</li><li>1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)</li><li>1 or 2 programming languages among SQL, Python and/or R.</li><li>Must have extensive experience in either Tableau or Power BI. Experience in both is preferred but not essential.</li></ul><p>&amp;nbsp;</p><br><p>Ideally, you have the knowledge or take interested in one or more of the following technologies:</p><br><ul><li>1 Google Cloud Platform resource (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS</li><li>You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)</li><li>1 advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360…)</li><li>1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep…)</li><li>1 web application (R-Shiny, Python Flask) that you have industrialized</li></ul><p>&amp;nbsp;</p><br><p>As a bonus, you have:</p><br><ul><li>Basic knowledge of statistics</li><li>Basic knowledge of machine learning and data engineering</li></ul><p>&amp;nbsp;</p><br><p><strong>Why you should join us</strong></p><br><ul><li><strong>Artefact is the place to be:&amp;nbsp;</strong>come and build the future of marketing</li><li><strong>Progress:</strong>&amp;nbsp;every day offers new challenges and new opportunities to learn</li><li><strong>Culture:</strong>&amp;nbsp;join the best team you could ever imagine</li><li><strong>Entrepreneurship:&amp;nbsp;</strong>you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!</li></ul><p>&amp;nbsp;</p><br><p><strong>Come join us!</strong></p><br><p>&amp;nbsp;</p><br> </div>

We are looking for an experienced and detail-oriented Data Analyst to join our team in Dora. The successful candidate will be responsible for analyzing business data, preparing reports, identifying trends, and providing actionable insights to support better decision-making across the company. <br> <br>Key Responsibilities <br>Collect, clean, validate, and analyze data from various sources. <br>Prepare accurate and timely reports, dashboards, and performance analyses. <br>Identify trends, patterns, and opportunities through data analysis. <br>Monitor key performance indicators (KPIs) and provide regular updates to management. <br>Work closely with different departments to understand their data and reporting needs. <br>Translate business requirements into meaningful analytical reports and insights. <br>Ensure data accuracy, consistency, and integrity. <br>Automate and improve existing reporting and data-analysis processes. <br>Present findings and recommendations clearly to both technical and non-technical stakeholders. <br>Requirements <br>Bachelor’s degree in Data Analytics, Business, Statistics, Computer Science, Mathematics, Economics, or a related field. <br>2+ years of proven experience as a Data Analyst or in a similar analytical role. <br>Strong proficiency in Microsoft Excel, including PivotTables, formulas, and data analysis. <br>Experience with SQL and databases. <br>Experience with data visualization tools such as Power BI, Tableau, or similar is an advantage. <br>Strong analytical and problem-solving skills. <br>Excellent attention to detail and accuracy. <br>Ability to communicate complex data clearly and effectively. <br>Ability to manage multiple priorities and meet deadlines. <br>Fluency in English; Arabic is a plus

Job Summary <br>We are looking for a reliable and detail-oriented Data Operations Officer to join our team. The ideal candidate will be responsible for monitoring daily system operations, maintaining accurate data, generating reports, and ensuring data quality. This role requires strong analytical skills and the ability to work accurately in a fast-paced environment. <br> <br> <br> <br>Key Responsibilities <br>Monitor daily system activities and ensure data is accurate and up to date. <br>Review and validate data to identify and correct any discrepancies. <br>Generate daily and monthly operational reports. <br>Analyze data and provide insights to support business decisions. <br>Coordinate with different departments to resolve data-related issues. <br>Maintain data integrity and follow company data management procedures. <br>Assist in improving operational processes and reporting efficiency. <br>Perform other data-related tasks as assigned. <br> <br> <br>Qualifications <br>Bachelor's degree in Accounting, Auditing, Business Administration, Management Information Systems (MIS), Data Analytics, or a related field. <br>1–3 years of experience or more in data operations, reporting, accounting, auditing, or a similar role. <br>Strong knowledge of Microsoft Excel. <br>Good analytical and problem-solving skills. <br>High attention to detail and accuracy. <br>Good communication and organizational skills. <br>Ability to manage multiple tasks and meet deadlines. <br> <br> <br>How to Apply <br>If you are detail-oriented, enjoy working with data, and are passionate about improving operational efficiency, we encourage you to apply by submitting your CV & Cover letter

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

Job Summary <br>We are looking for a reliable and detail-oriented Data Operations Officer to join our team. The ideal candidate will be responsible for monitoring daily system operations, maintaining accurate data, generating reports, and ensuring data quality. This role requires strong analytical skills and the ability to work accurately in a fast-paced environment. <br> <br> <br> <br>Key Responsibilities <br>Monitor daily system activities and ensure data is accurate and up to date. <br>Review and validate data to identify and correct any discrepancies. <br>Generate daily and monthly operational reports. <br>Analyze data and provide insights to support business decisions. <br>Coordinate with different departments to resolve data-related issues. <br>Maintain data integrity and follow company data management procedures. <br>Assist in improving operational processes and reporting efficiency. <br>Perform other data-related tasks as assigned. <br> <br> <br>Qualifications <br>Bachelor's degree in Accounting, Auditing, Business Administration, Management Information Systems (MIS), Data Analytics, or a related field. <br>1–3 years of experience or more in data operations, reporting, accounting, auditing, or a similar role. <br>Strong knowledge of Microsoft Excel. <br>Good analytical and problem-solving skills. <br>High attention to detail and accuracy. <br>Good communication and organizational skills. <br>Ability to manage multiple tasks and meet deadlines. <br> <br> <br>How to Apply? <br>If you are detail-oriented, enjoy working with data, and are passionate about improving operational efficiency, we encourage you to apply by submitting your CV & Cover letter

Job Summary <br>We are looking for a reliable and detail-oriented Data Operations Officer to join our team. The ideal candidate will be responsible for monitoring daily system operations, maintaining accurate data, generating reports, and ensuring data quality. This role requires strong analytical skills and the ability to work accurately in a fast-paced environment. <br> <br> <br> <br>Key Responsibilities <br>Monitor daily system activities and ensure data is accurate and up to date. <br>Review and validate data to identify and correct any discrepancies. <br>Generate daily and monthly operational reports. <br>Analyze data and provide insights to support business decisions. <br>Coordinate with different departments to resolve data-related issues. <br>Maintain data integrity and follow company data management procedures. <br>Assist in improving operational processes and reporting efficiency. <br>Perform other data-related tasks as assigned. <br> <br> <br>Qualifications <br>Bachelor's degree in Accounting, Auditing, Business Administration, Management Information Systems (MIS), Data Analytics, or a related field. <br>1–3 years of experience or more in data operations, reporting, accounting, auditing, or a similar role. <br>Strong knowledge of Microsoft Excel. <br>Good analytical and problem-solving skills. <br>High attention to detail and accuracy. <br>Good communication and organizational skills. <br>Ability to manage multiple tasks and meet deadlines. <br> <br> <br>How to Apply? <br> <br>If you are detail-oriented, enjoy working with data, and are passionate about improving operational efficiency, we encourage you to apply by submitting your CV & Cover letter

<p><strong>Job Description Role Overview:</strong> The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies. The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization. This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><p><strong>Key Responsibilities</strong></p><ol><li><strong>Data Engineering &amp; Platform Development</strong> Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake. Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines. Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL. Implement and manage Medallion Architecture (Bronze, Silver, Gold). Develop reusable and metadata-driven ingestion and transformation frameworks. Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications. Design and maintain enterprise data models supporting analytical and operational workloads.</li><li><strong>Fabric Engineering &amp; Optimization</strong> Develop and optimize Fabric Lakehouses and Data Warehouses. Build advanced Notebook-based transformations utilizing PySpark and Spark SQL. Implement Delta Lake capabilities including: Merge/Upsert Change Data Feed (CDF) Time Travel Schema Evolution Optimize Vacuum Design scalable storage, partitioning, and file management strategies within OneLake. Optimize Spark workloads and Data Warehouse performance.</li><li><strong>Performance, Reliability &amp; Monitoring</strong> Tune large-scale Spark and SQL workloads. Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics. Conduct performance testing and scalability assessments. Troubleshoot pipeline failures and platform performance bottlenecks. Define and monitor SLAs for critical data assets and pipelines. Ensure high availability and operational excellence across data workloads.</li><li><strong>DevOps &amp; Platform Automation</strong> Implement CI/CD using Fabric Git Integration and Deployment Pipelines. Build automated deployment processes across Development, Test, and Production environments. Develop automated testing frameworks for data quality, schema validation, and regression testing. Manage environment configurations, secrets, and deployment parameters. Utilize Azure DevOps or GitHub Actions to support release automation and governance. Define rollback, release management, and change control processes.</li><li><strong>Data Quality, Governance &amp; Security</strong> Implement automated data quality validation frameworks. Develop reconciliation, completeness, and consistency checks. Manage data lineage, metadata, and documentation standards. Implement sensitivity labels, access controls, auditing, and compliance requirements. Ensure adherence to organizational standards for governance, security, retention, and PII handling. Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li><li><strong>Technical Leadership &amp; Collaboration</strong> Translate business requirements into scalable technical solutions. Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders. Lead engineering best practices and platform standards. Mentor junior engineers and support knowledge-sharing initiatives. Produce architecture documentation and technical design specifications. Drive continuous improvement of the data platform and engineering practices.</li></ol><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications and Experience:</h2><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><h2>Required Technical Skills</h2><ul><li>Microsoft Fabric</li><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li><li>Data Engineering</li><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li><li>Performance Optimization</li><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li><li>Integration</li><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li><li>DevOps</li><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li><li>Security &amp; Governance</li><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

• Analyze large volumes of trading, financial, and operational data. <br>• Prepare, maintain, and improve Excel-based reports, analysis, and dashboards. <br>• Monitor trading activity and identify trends, anomalies, discrepancies, and unusual patterns. <br>• Perform statistical and quantitative analysis to support trading and management decisions. <br>• Produce daily, weekly, and ad-hoc reports for the Trading Department and management. <br>• Validate data for accuracy, consistency, and completeness. <br>• Reconcile and investigate differences between datasets and trading records. <br>• Develop and improve spreadsheets, formulas, models, and analytical tools. <br>• Support traders and management with data-driven insights and analysis. <br>• Help automate repetitive reporting and data-analysis processes where possible. <br>• Work with multiple data sources and maintain accurate and reliable datasets. <br>• Assist with performance analysis and other quantitative projects within the trading environment. <br>• Respond quickly and accurately to ad-hoc analytical requests in a high-volume environment

<p>Proven experience in data analysis and building detailed reports.</p><p>Strong proficiency in data visualization and handling large datasets.</p><p>Strong analytical and problem-solving skills.</p>

Key Requirements: <br> <br>Proven experience in data analysis and building detailed reports. <br>Strong proficiency in data visualization and handling large datasets. <br>Strong analytical and problem-solving skills

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What will you be doing?&amp;nbsp;</strong></p><br><ul><li>Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players.</li><li>In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.</li><li>You wield both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business</li></ul><p><strong>What are we looking for?&amp;nbsp;</strong></p><br><ul><li>You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting.</li><li>Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism.</li><li>We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis.</li><li>You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…).</li></ul><p>Artefact is the place to be: come and build the future of data and marketing!<br><strong>Innovation</strong>: We have a passion for creating impacting projects and believe innovation can come from anyone.<br><strong>Action:&amp;nbsp;</strong>We make things rather than telling people how to make them.<br><strong>Collaboration</strong>: We believe in bringing talented people together, winning together, and in learning from each other.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About us:</strong></p><br><p>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</p><br><p>We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</p><br><p>&amp;nbsp;</p><br><p><strong>About the role:</strong></p><br><p>As a Data Scientist, your role will encompass:</p><br><ul><li>Conducting ambitious projects in the transformation of clients through data</li><li>Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients</li><li>Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department</li></ul><p>&amp;nbsp;</p><br><p>Among your responsibilities as a Data Scientist, you will be responsible for:</p><br><p><strong>Performing data projects</strong></p><br><ul><li>Securing delivery on your projects</li><li>Communicating your work and achievements among the team</li><li>Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs</li><li>Ensuring that your solutions are bringing values to the client problematic</li><li>Being a good team player, knowing your role and responsibility in the global ambition</li></ul><p>&amp;nbsp;</p><br><p><strong>Qualifications: Education &amp;amp; experience required</strong></p><br><ul><li>A Master’s degree in machine learning, mathematics, computer science, or related fields</li><li>Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)</li><li>Strong knowledge of data processing, data modeling, algorithms, and data architecture</li><li>Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact</li></ul><p>&amp;nbsp;</p><br><p><strong>What we are looking for</strong></p><br><ul><li><strong>A Doer:</strong>&amp;nbsp;you get things done and inspire your teams to do the same</li><li><strong>An Analyst:&amp;nbsp;</strong>you LOVE data and think every company should take their decisions with facts</li><li><strong>A Pragmatist:</strong>&amp;nbsp;you have a hacker mindset and always find the quick wins</li><li><strong>A Mentor:</strong>&amp;nbsp;your clients and teams naturally seek for advice</li><li><strong>An Adventurer:&amp;nbsp;</strong>you’re an entrepreneur constantly looking for problems to solve</li></ul><p>&amp;nbsp;</p><br><p><strong>Why you should join us</strong></p><br><ul><li><strong>Artefact is the place to be:&amp;nbsp;</strong>come and build the future of marketing</li><li><strong>Progress:</strong>&amp;nbsp;every day offers new challenges and new opportunities to learn</li><li><strong>Culture:</strong>&amp;nbsp;join the best team you could ever imagine</li><li><strong>Entrepreneurship:&amp;nbsp;</strong>you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!</li></ul><p>&amp;nbsp;</p><br> </div>

<p>The United Nations Economic and Social Commission for Western Asia (ESCWA) is implementing a project on Improved mapping and monitoring of solar energy access for enhanced climate policy action and socio-economic resilience in ESCWA member States. The project aims to enhance the capacities of government officials and policymakers working in statistics, energy, and GIS-active research centres on using digital and geospatial tools to map and monitor solar energy data, review data snapshots and baselines, and generate KPIs to strengthen data-driven analysis and improve evidence-based policymaking for climate action and socio-economic resilience.</p><p>The GIS and renewable energy data analyst would review the existing data sets on detected solar photovoltaic (PV) systems in Djibouti, Jordan, Lebanon, Syria, and Yemen; apply statistical analysis methods to improve the accuracy of the data sets; and add socio-economic GIS layers to the existing data sets to strengthen data-driven analysis and improve evidence-based policymaking for climate action and socio-economic resilience.</p><p>Under the overall supervision of the Leader of the Climate Change and Natural Resources Sustainability Cluster, the analyst will report directly to the Project Coordinator and be responsible for the following overall duties linked to the outcomes and outputs of the project document, namely:</p><ul><li>Review and assess the existing geospatial datasets of detected solar PV systems in Djibouti, Jordan, Lebanon, Syria, and Yemen to identify inconsistencies, data gaps, duplicates, quality issues, and potential sources of uncertainty.</li><li>Conduct a comprehensive review of the existing solar PV geospatial datasets, including an assessment of data quality, completeness, spatial accuracy, attribute consistency, metadata availability, and reliability.</li><li>Prepare a comprehensive final technical report and presentation summarizing the methodology applied, improvements made to the datasets, analytical findings, limitations, and recommendations for future updates.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>A master's degree in statistics, mathematics, GIS or related field is required. A first-level university degree with two additional years of relevant work experience may be accepted in lieu of the advanced university degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of five years of experience working on data analytics related to energy or renewable energy is required. Demonstrated professional experience working on energy datasets is required. English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English. Knowledge of Arabic is desirable.</p>