Job Summary
The Junior Data Analyst will work closely with the Senior Data Analyst and various stakeholders across RE:GEN Group and Business Units to deliver accurate, accessible, and impactful data solutions.
The role will range from gathering and analysing data, to building reports and dashboards and it will play a key part in helping our teams make informed data driven decisions that help shape the future of the work that we do.
This is an entry level role that is ideal for someone looking to grow their career in data and business intelligence.
Daily Responsibility
Specific objectives and deliverables will be agreed as part of your annual People Engagement Process (RE:PEP) however as Junior Data Analyst, you will be expected to:
Assist the Senior Data Analyst team with producing reports and management information used to monitor the key performance metrics of the business.
Collaborate closely with the Senior Data Analyst to support the creation of clear, concise, and accessible management information visualisations.
Use a range of data tools and software to maintain current reports and performance data.
Coordinate the end-to-end administration of business processes that monitor performance.
Design, build, and maintain dynamic, user-friendly Microsoft forms that support data collection, workflow automation, and user engagement to ensure accurate data capture for reporting and decision-making.
Design and maintain Power Automate flows to streamline data-related tasks.
Manage and maintain data-related SharePoint libraries.
Qualifications
Minimum of a level 3 qualification in mathematics, computer science, computing, statistics, science or a data related subject.
GCSE mathematics grade 9-4 (A*-C) (or equivalent).
GCSE English language grade 9-4 (A*-C) (or equivalent).
Experience & Skills
Essential
Understanding of averages, distributions, correlations, and basic statistical concepts.
Awareness of how to present data clearly using charts, graphs, and dashboards.
Familiarity with performance indicators, and how data supports decision-making.
Ability to interpret data and identify patterns or trends.
Strong attention to detail and accuracy in data entry and reporting.
Ability to work independently and as part of a team.
Ability to explain findings in a clear, non-technical way.
Eagerness to explore data and ask questions.
Desirable
Familiarity with entity relationship diagrams, relational databases (e.g. SQL Server, MySQL).
Familiarity/understanding of ETL process.
Specific Software Skills
Essential
MS Power BI: Ability to create informative dashboards and related datasets.
MS Excel: Ability to write formulas, create pivot tables, and perform basic data cleansing.
SQL: Ability to write simple queries to extract and filter data from databases.
MS Forms: Ability to design, create and maintain forms and manage collection of form-related data.
MS Power Automate: Ability to design, create, and maintain automated workflows to manage data.
MS SharePoint:Ability to setup, manage, and maintain site pages and content.
Desirable
Google Sheets: Experience/knowledge of basic functionality.
MS Excel VBA: Experience in writing/debugging scripts used to automate data processing.
Python / R:Experience of using analytical programming languages with data.
RE:GEN Employee Benefits
Free private gym usage at RE:GEN House.
Competitive salary and benefits based on experience.
Pension contribution scheme.
Life assurance scheme.
Private healthcare available.
Bonus scheme