At a Glance
- Tasks: Lead the creation of a cutting-edge People Analytics function from scratch.
- Company: Join Starling, Britain's first digital bank, revolutionising banking for good.
- Benefits: Enjoy 25 days holiday, private medical insurance, and generous family-friendly policies.
- Other info: Be part of a diverse team committed to reshaping banking and solving real customer problems.
- Why this job: Make a real impact by transforming data into strategic insights for our leadership team.
- Qualifications: Experience in building People Analytics capabilities and strong analytical skills required.
The predicted salary is between 60750 - 74250 £ per year.
Hello, we're Starling. Banking was broken - so we decided to fix it. The vision? Fast technology, fair service and honest values. All at the tap of a phone, all the time. We built Britain's first digital bank. One hard-won banking licence later, we set about giving people a new way to spend, save and manage their money (and take better care of the planet, too). We’re changing banking for good.
Our culture is open, inclusive and focused on solving real customer problems, with an emphasis on doing the right thing, even when it's not always the easy thing. Everyone at Starling is essential to our mission, which is really quite simple: to solve our customer's problems - and build the best bank in the world!
Starling is a technology company at its core, and we are now evolving our People function to mirror the sophistication of our banking platform. As we scale beyond 4,000 employees, we are moving away from manual, legacy trackers to build a world-class, automated data ecosystem. We are looking for a People Analytics Architect to own this transition. This is a high-autonomy 'founding role' where you will build the infrastructure from scratch and deliver the strategic insights that steer our Board and Executive Committee.
Responsibilities
- Function Architecture: Design and implement our first dedicated People Analytics function. You will lead the transition from manual "offline trackers" to a sophisticated, automated reporting ecosystem that serves as the backbone of the People Strategy.
- Data Governance & Integrity: Act as the guardian of people data. You will establish robust validation checks to eliminate discrepancies (e.g., between Finance and People data) and ensure 100% Board-level reporting accuracy.
- Strategic Insights & Storytelling: Translate complex, raw data into digestible visual narratives and "People Health" dashboards. Your work will enable the Executive team to make high-stakes, real-time decisions at pace.
- Regulatory & Statutory Leadership: Own the end-to-end delivery of critical statutory reporting, including Gender Pay Gap and Pillar 3 disclosures. You will ensure our controls are robust to satisfy internal risk frameworks and external regulators.
- Operational Efficiencies: Design and deploy self-service tools and MI Inventories. This will empower People Partners and Managers to access high-quality insights independently, reducing the manual burden on the core team.
- Cross-Functional Partnership: Partner with the central Technology Data team to integrate People data into the wider Starling Data Warehouse. You will identify opportunities to automate manual modeling and data cutting.
Requirements
- "Builder" Track Record: Proven experience building a People Analytics capability from the ground up within a high-growth Tech or highly regulated Financial Services environment.
- Analytical Rigor: Extensive experience interpreting complex datasets to provide actionable commercial insights, not just raw numbers.
- Technical Toolkit: Proficiency in data visualisation tools (specifically Looker) and an interest in automating data modeling through programming or advanced tooling.
- High Autonomy: Comfortable tackling ambiguous, complex problems and delivering cross-functional projects with minimal oversight.
- Communication & Influencing skills: Exceptional ability to communicate complex data findings to non-technical stakeholders (Board/Exec) in a clear and accessible manner.
- Workday Mastery: Deep expertise in Workday HRIS data structures and report writing would be nice to have.
Benefits
- 25 days holiday (plus take your public holiday allowance whenever works best for you).
- An extra day's holiday for your birthday.
- Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off.
- 16 hours paid volunteering time a year.
- Salary sacrifice, company enhanced pension scheme.
- Life insurance at 4x your salary.
- Private Medical Insurance with VitalityHealth including mental health support and cancer care.
- Generous family-friendly policies.
- Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks.
- Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships.
Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
Data Analytics Lead employer: Starling
Starling Bank is an exceptional employer that prioritises employee well-being and professional growth, offering a vibrant work culture in Manchester. With a commitment to flexible working, comprehensive benefits, and a focus on innovation, employees are empowered to make a meaningful impact in the banking industry while enjoying a supportive and inclusive environment. Join us to be part of a forward-thinking team dedicated to doing the right thing and shaping the future of banking.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Lead
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We think you need these skills to ace Data Analytics Lead
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Starling. 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 Starling
✨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!
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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 Starling!
✨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.