Who are we looking for?

Great Place to Work® ME is a Global Authority for Workplace Culture, helping organisations to create exceptional, high performing workplaces where employees feel trusted and valued. We help employers improve recruitment, retention and productivity by putting employees at the heart of the organisation, analysing what they think and feel and identifying the real issues that need to be addressed. Part of a global organisation, we apply data and insights from approximately 10,000 organisations across the world to benchmark individual performance and advise employers on how to continuously improve employee engagement and wellbeing and so help build and sustain business performance. We run the Best Workplaces™ awards to enable the organisations we work with celebrate their achievements, build their employer brand and inspire others to take action.

Visit www.greatplacetowork.me to find out more.

What can we tell you about Great Place to Work?

At Great Place to Work, we believe that every company can be a great workplace. A great workplace has high levels of trust and engagement which has repeatedly been shown to help drive enhanced business performance. Great Place to Work exists to make that happen by helping organisations understand their employees’ perceptions and also appreciate how management policies and practices interplay with these views.

We try to practice what we preach and strive to be a great workplace ourselves. We are a small, friendly and hardworking team. We encourage creativity and new ideas, respect one another and have a great range of employee benefits.

Role & Responsibilities

Data Collection: Collate, clean, filter and organise large volumes of data prior to analysis from various sources such as databases, spreadsheets, and external APIs. Use existing R scripts and aid in coding, analysing and collating survey data.

Data Analysis: Perform exploratory data analysis to identify trends, patterns, and insights. Use statistical techniques to analyze data sets and draw meaningful conclusions.

Data Visualization: Create clear and visually appealing charts, graphs, and reports to present data findings. Use data visualization tools like Tableau, Power BI, or Excel to present complex information in a simplified manner.

Data Quality Assurance: Ensure data accuracy and integrity by conducting regular data quality checks and resolving any inconsistencies or errors.

Reporting: Prepare regular reports and dashboards to communicate data-driven insights to stakeholders. Assist in the development and maintenance of reporting systems to a various of audiences. Preparing reports that are both objective and accessible to read.

Collaboration Work: Work with Culture Coach and other departments such as customer success, marketing and list department and sales to ensure the quality of the data for further analyses and products. Assist senior members on ad hoc projects as assigned.

Data Analysis: Analyse data (descriptive and inferential statistical analysis; applying appropriate statistical, tests to establish the significance of results; thematic analysis of qualitative data).

Data Research: Assist with research and find interesting data or trends that Great Place to Work can analyse and present in new and productive ways.

Problem Solving: Assist in solving business problems by leveraging data analysis techniques. Identify opportunities for process improvement and optimization.

Research and Learning: Stay up to date with the latest industry trends, tools, and techniques in data analysis. Continuously develop skills in areas such as statistical analysis, data mining, and machine learning.

Qualification

University degree and above. Preferably a degree in a numerate discipline (e.g. Computer Science, Statistics, Economics, Sociology, Quantitative Psychology or equivalent qualification)

Experience

3-5 years experience in data analysis role.

Data cleaning, data manipulation and data linkage.

Descriptive, inferential and multivariate statistical analysis.

Data visualisation.

Interpreting and presenting complex statistical data and analysis to different audiences.

Statistical analysis software such as R, Python, SPSS and/or STATA.

Skill

Analytical Skills: Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract meaningful insights. Proficiency in statistical analysis techniques is preferred.

Technical Proficiency: Proficiency in data analysis tools such as SQL, Excel, Python, or R. Familiarity with data visualization tools like Tableau or Power BI is a plus.

Attention to Detail: Strong attention to detail and the ability to identify data inconsistencies or anomalies.

Communication Skills: Excellent verbal and written communication skills. Ability to present complex data findings in a clear and concise manner.

Team Player: Ability to work effectively within a team environment, collaborating with colleagues from various disciplines.

Time Management: Strong organizational and time management skills, with the ability to manage multiple tasks and meet deadlines.

Adaptability: Ability to quickly learn new tools and technologies and adapt to changing business needs.

Cultural Fit

It’s essential that everyone who works at Great Place to Work not only understands our values and what we stand for but conducts themselves in a way that reflects these values. As an Evaluator, you must act by example when representing the organisation.

Care

We respect and value each other for our unique gifts.

We actively support each other personally and professionally.

We make time to nurture ourselves and our communities.

We give and accept the gift of feedback as a way to constantly improve.

We celebrate and reward contributions in meaningful and personalized ways.

Be Curious

We respectfully and constructively challenge the status quo.

We are open to change and embrace innovation.

We approach interactions in a spirit of genuine inquiry.

We continuously challenge ourselves to learn and grow.

We learn from every outcome, whether success or failure.

Act with Integrity

We do the right thing, regardless of the consequences.

We model the behaviors we expect from others, we are all leaders regardless of role.

Our actions match our words. We hold ourselves accountable for our actions.

Excel

We give our personal best, every day, every time.

We think and act as owners of the business.

We aim high and excel at reaching our goals to positively impact the big picture.

We are confident and comfortable in being experts.

We take intelligent risks in order to grow the business and fulfill our mission.

One Team, One Mission

We live by the statement “I care if you succeed”.

We actively seek to involve others and create opportunities meaningful collaboration across teams.

We trust the intentions of others and seek first to understand and then to be understood. We own outcomes, whether wins or losses, as a unified team.

We do important work together but don’t take ourselves too seriously.