At a Glance
- Tasks: Analyse data, create reports, and support decision-making with impactful insights.
- Company: Join RE:GEN Group, a forward-thinking company focused on data-driven solutions.
- Benefits: Enjoy competitive salary, private healthcare, gym access, and a bonus scheme.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Kickstart your career in data analysis and make a real difference in business intelligence.
- Qualifications: Level 3 qualification in a data-related subject and strong analytical skills.
The predicted salary is between 25000 - 32000 £ per year.
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 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
- 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.
Junior Data Analyst in Sunderland employer: Re:Gen Group
RE:GEN Group is an excellent employer for aspiring data professionals, offering a supportive work culture that prioritises employee growth and development. With access to competitive benefits such as private healthcare, a pension scheme, and free gym usage, employees are encouraged to thrive both personally and professionally in a collaborative environment that values data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in Sunderland
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Re:Gen Group when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Re:Gen Group.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Re:Gen Group.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Re:Gen Group’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Analyst in Sunderland
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Re:Gen Group, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Re:Gen Group aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Re:Gen Group
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
