At a Glance
- Tasks: Transform complex data into actionable insights and drive data-informed decisions.
- Company: Join RE:GEN Group, a forward-thinking organisation focused on data-driven growth.
- Benefits: Enjoy competitive salary, private healthcare, gym access, and a bonus scheme.
- Other info: Dynamic work environment with opportunities for professional growth and development.
- Why this job: Make a real impact by collaborating with teams and shaping business strategies through data.
- Qualifications: Bachelor's degree in a relevant field and 5 years of analytical experience required.
The predicted salary is between 50000 - 70000 £ per year.
Working closely with the Executive Board and key stakeholders across RE:GEN Group and Business Units, the Senior Data Analyst will transform complex business data into clear, actionable insights that drive data-informed decision-making throughout the organisation.
The ideal candidate will have substantial experience of working in a similar role, possess a strong analytical background, have exceptional communication skills, and the ability to collaborate effectively across multiple departments to understand their data needs and deliver relevant reports, dashboards, and presentations.
Daily Responsibility
- Collect, analyse, and interpret data to provide actionable insights and recommendations.
- Collaborate with key business stakeholders to define data analysis goals and requirements.
- Develop and maintain data visualisation dashboards and reports.
- Identify data trends, patterns, and anomalies to inform and support business decisions.
- Automate data collection and reporting processes where applicable.
- Communicate data-driven findings and recommendations to business teams.
- Drive data-driven decision-making and contribute to business growth through insightful analysis.
- Stay updated on data analysis tools and techniques.
Qualifications
Essential
- Minimum of a level 6 qualification (Bachelor’s degree) in mathematics, computer science, computing, statistics, science, or a data related subject.
Desirable
- Level 7 qualification (Master’s degree) in mathematics, computer science, computing, statistics, science, or a data related subject.
Experience & Skills
Essential
- Minimum of 5 years working in a similar level analytical role, with a proven ability to extract, evaluate, and interpret complex data.
- Strong proficiency using analytical software to cleanse and present data.
- Strong problem-solving and critical thinking skills, with a proactive approach to analysing data and identifying growth opportunities.
- Proven ability to work effectively with various teams and stakeholders.
- Excellent communication skills to present technical information to non-technical audiences clearly and persuasively.
- Ability to manage workload priorities in alignment with business needs.
Desirable
- Experience in database design, data modelling, and segmentation techniques.
- Experience with machine learning techniques and their business applications.
- Programming experience with frameworks such as XML, JavaScript, and ETL processes.
Specific Software Skills
Essential
- SQL: Ability to write simple queries to extract and filter data from databases efficiently.
- MS Power BI: Ability to create informative and insightful dashboards and related datasets.
- MS Excel: Ability to manipulate and cleanse data, write formulas, create pivot tables, and produce relevant data tables and/or charts.
- SQL: Ability to write complex and accurate queries to extract and filter data from relevant 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.
Senior Data Analyst in Sunderland employer: Re:Gen Group
RE:GEN Group is an exceptional employer that values data-driven decision-making and fosters a collaborative work culture. As a Senior Data Analyst, you will have the opportunity to work closely with the Executive Board and key stakeholders, driving impactful insights that contribute to business growth. With competitive benefits including private healthcare, a pension scheme, and free gym access, RE:GEN Group supports your professional development and well-being in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Sunderland
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Re:Gen Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst at Re:Gen Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Re:Gen Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Re:Gen Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst in Sunderland
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Re:Gen Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Re:Gen Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Re:Gen Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Re:Gen Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
