At a Glance
- Tasks: Lead enterprise reporting, develop dashboards, and streamline data processes with AI tools.
- Company: Join a fast-paced, high-growth company focused on data-driven insights.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities for travel and collaboration.
- Why this job: Make an impact by influencing product decisions with your data expertise.
- Qualifications: 4+ years in data analysis, advanced SQL skills, and experience with BI tools.
The predicted salary is between 50000 - 70000 £ per year.
Lead the development and maintenance of enterprise reporting frameworks, creating executive dashboards and reports that deliver key insights to leadership. Work closely with data engineering, analytics, and product teams to ensure accuracy, governance, and delivery of high-quality data.
Responsibilities
- Own end-to-end data projects in a fast-paced environment—from scoping and modeling to delivery and stakeholder adoption.
- Develop AI-powered tools and automations that streamline data extraction, transformation, and reporting—reducing manual effort and enabling self-service analytics.
- Monitor key metrics for anomalies and data quality issues, investigate root causes, and implement fixes in models or dashboards.
- Build and maintain scalable dashboards, reports, and data models that power the FMX product experience and surface KPIs to leadership and stakeholders.
- Apply a product-minded lens to analytics: surface trends, deliver data-driven recommendations, and influence product and business decisions.
- Partner with product, finance, compliance, and engineering to keep BI tools accurate, relevant, and aligned with evolving needs.
- Communicate findings to PMs, developers, and other stakeholders through clear reports and presentations.
- Support data governance through metadata management, validation, reconciliation, and clear documentation.
Qualifications
- 4+ years as a Data Analyst, BI Analyst, or similar role in a fast-paced, high-growth industry.
- Advanced SQL and hands-on data modeling experience (e.g., dbt).
- Experience building dashboards in a BI tool (e.g., Sigma, Tableau, Power BI, Looker).
- Experience applying AI tools and building automations in an analytics context—a strong plus.
- Comfort with GitHub for source control and collaboration.
- Customer-obsessed, outcome-oriented, and effective when priorities shift quickly.
- Strong communication skills and proven ability to earn stakeholder trust.
- Understanding of sports betting or customer behavior analysis is a significant plus.
- Open to travel for team offsites and events.
Senior Data Analyst - FMX in London employer: Predict responsibly
As a Senior Data Analyst at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. We offer competitive benefits, a culture of continuous learning, and the opportunity to work with cutting-edge AI tools, all while being part of a team that values your insights and contributions. Join us in shaping the future of data analytics in a fast-paced industry, where your work will directly influence key business decisions and drive impactful results.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - FMX in London
✨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 Predict responsibly!
✨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 - FMX at Predict responsibly.
✨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 Predict responsibly.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst - FMX at Predict responsibly, 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 - FMX in London
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 Predict responsibly, 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 Predict responsibly. 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 Predict responsibly
✨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 Predict responsibly!
✨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.
