At a Glance
- Tasks: Lead Power BI development and create impactful data solutions for clinical trials.
- Company: Join CluePoints, a fast-growing tech scale-up transforming clinical trials with AI.
- Benefits: Competitive salary, flexible work environment, and opportunities for continuous learning.
- Other info: Dynamic team culture with diverse backgrounds and excellent career growth potential.
- Why this job: Make a real difference in healthcare by optimising data-driven decision-making.
- Qualifications: 5+ years in Data Analytics, advanced Power BI skills, and strong problem-solving abilities.
The predicted salary is between 60000 - 80000 £ per year.
Description
At Clue Points, we’re redefining how clinical trials are run.
As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.
We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities.
Collaboration, flexibility, and continuous learning are part of our DNA.
At Clue Points, you’ll find a culture where you can grow, make an impact, and have fun along the way.
Guided by our values of
Care, Passion, and Smart Disruption , we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.
Clue Points provides best-in-class statistical and AI-driven software solutions to enable the Life Sciences industry to focus on what matters most.
Our products enable both risk planning and operational risk monitoring and utilize advanced statistical algorithms to determine the quality of clinical trial data both during and following study execution.
The Role
We are looking for a Senior Data Analyst with deep Power BI expertise who will act as the technical owner of our Power BI reporting landscape.
This role is primarily focused on Power BI development, semantic modelling, performance optimization, and governance, while also supporting ad hoc analytical initiatives when needed.
This person will have to be able to spend a few days per week in the London office.
You will work closely with Data Engineering, fellow Data Analysts, and business stakeholders across the organization to design scalable, high-performing, and trusted BI solutions that enable data-driven decision-making.
Requirements
Experience
- 5+ years of experience in Data
Analytics / Business Intelligence roles.
- Proven experience designing and delivering Power BI solutions in a production environment.
- Experience in Saa S or similar fast-paced, data-driven environments is strongly preferred.
- Technical Skills
• Advanced Power BI expertise
- Strong data modeling skills (star schema, dimensional modeling, relationships, granularity management).
- Advanced DAX for complex calculations and performance tuning.
• Advanced SQL skills
- Writing complex queries for data extraction, transformation, validation, and performance optimization.
• Experience working with enterprise data warehouses, including
- Medallion architecture (Bronze/Silver/Gold layers).
- Kimball dimensional modeling methodology.
- Strong understanding of BI performance optimization techniques (model design, aggregation, incremental refresh, efficient measures).
- Familiarity with Microsoft Fabric's analytics capabilities from a Power BI and BI reporting perspective, as we are currently transitioning to Fabric.
Awareness of Lakehouse, Dataflows Gen2, and Fabric REST APIs would be an advantage.
- Analytical & Soft Skills
- Strong analytical and problem-solving mindset with the ability to troubleshoot data and reporting issues.
- Excellent stakeholder management and communication skills, with the ability to explain complex insights in clear, business-friendly language.
- Ability to manage multiple priorities and deliver high-quality outputs within deadlines.
- Strong documentation and organizational discipline.
GOOD TO HAVE
- Experience with cloud data platforms such as Azure, AWS, or Google Cloud.
- Familiarity with Power BI deployment pipelines and enterprise governance setups.
- Knowledge of advanced visualization and dashboard UX best practices.
- Exposure to predictive analytics or data science workflows.
- Experience with scripting languages such as Python or R for automation, advanced analysis, or API integrations.
• Relevant certifications such as
- Microsoft Certified: Power BI Data Analyst Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- Other BI or analytics-related certifications
Our current data stack is built on a Medallion-based Enterprise Data Warehouse implemented in Azure SQL, following Kimball dimensional modeling principles.
On top of this foundation, we maintain a mature and business-critical Power BI environment comprising 50+ production-grade reports and semantic models used across the organization.
This role offers the opportunity to further strengthen and scale a well-established BI ecosystem within a growing, innovation-driven company operating in the e-clinical space, contributing directly to data-driven excellence in clinical research
Senior Data Analyst / Senior Power BI Developer employer: CluePoints
CluePoints is an exceptional employer that champions innovation and personal growth in a vibrant, hybrid work culture. As a Senior Talent Partner, you'll play a pivotal role in shaping the future of recruitment through AI-driven solutions, while enjoying ample opportunities for professional development and collaboration in a forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst / Senior Power BI Developer
✨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 CluePoints!
✨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 / Senior Power BI Developer at CluePoints.
✨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 CluePoints.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst / Senior Power BI Developer at CluePoints, 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 / Senior Power BI Developer
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 CluePoints, 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 CluePoints. 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 CluePoints
✨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 CluePoints!
✨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.
