At a Glance
- Tasks: Design and maintain enterprise Power BI solutions while optimising data performance.
- Company: Dynamic London-based company with a vibrant and collaborative culture.
- Benefits: Private medical insurance, life insurance, pension contributions, and a supportive work environment.
- Other info: Opportunity for career growth in a strong collaborative setting.
- Why this job: Join a team where your data skills can drive impactful business decisions.
- Qualifications: 5+ years in Data Analytics/BI with advanced Power BI and SQL experience.
The predicted salary is between 75000 - 75000 £ per year.
Location: London Based, up to once a week onsite
Salary: Up to £75,000 DOE
What You'll Be Doing
- Design and maintain enterprise Power BI solutions: semantic models, reports, dashboards
- Build scalable data models (star schema, Kimball methodology) and advanced DAX measures
- Use Power Query (M) for data transformation
- Optimise report/dataset performance and manage deployment across environments
- Implement governance standards (naming conventions, documentation, RLS)
- Validate data via SQL and translate business requirements into BI solutions across Finance, HR, R&D and other teams
What You'll Bring
- 5+ years in Data Analytics / BI, with proven Power BI delivery in production
- Advanced Power BI (data modelling, DAX) and advanced SQL
- Experience with enterprise data warehouses, medallion architecture, Kimball methodology
- Strong grasp of BI performance optimisation
- Microsoft Fabric familiarity (Lakehouse, Dataflows Gen2)
- Strong stakeholder management and communication skills
Good to Have
- Power BI deployment pipelines and governance experience
- Python/R scripting
- Power BI or Fabric certifications
What's on Offer
- Private Medical Insurance, Critical Illness Cover, Life Insurance
- Pension with 9% employer contribution
- Strong collaborative and vibrant working culture
Senior Data Analyst employer: develop
Join a dynamic consultancy that prioritises employee growth and fosters a collaborative work culture in the heart of London. With a focus on health sector transformation, we offer competitive salaries, hybrid working options, and opportunities to lead impactful projects while mentoring the next generation of consultants. Our commitment to professional development ensures that you will thrive in an environment that values innovation and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 develop!
✨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 develop.
✨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 develop.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at develop, 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
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 develop, 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 develop. 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 develop
✨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 develop!
✨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.
