At a Glance
- Tasks: Lead strategic analysis and turn data into actionable insights for business growth.
- Company: Join iProov, a leader in biometric identity assurance with a diverse and inclusive culture.
- Benefits: Enjoy 25 days annual leave, flexible working, and access to wellness programmes.
- Other info: Be part of a supportive team that values diverse perspectives and innovation.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic tech environment.
- Qualifications: 6+ years as a Data Analyst with strong SQL and Python skills.
iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance.
This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.
The Role Reports to: Head of Data Analytics & Business Intelligence Location: WeWork HQ (London) - Hybrid (At least once per week) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits
As a Senior Data Analyst, you will serve as a strategic partner to our Revenue, Product, and Science & Technology teams. You won't just answer questions; you will help define them. By combining technical rigour with deep business acumen and owning how we measure and experiment, you will move the organisation beyond reactive reporting toward proactive, predictive decision-making. Ultimately, your ability to translate complex findings into actionable recommendations will empower stakeholders to make informed strategic decisions that drive business growth and innovation.
How you can make an impact:
- Lead strategic analysis: Proactively identify business opportunities and risks; take ownership of ambiguous problems and drive them from question to conclusion.
- Own experimentation & statistical rigour: Design and interpret A/B tests and experiments, and apply sound statistical and causal-inference methods so that decisions rest on trustworthy evidence.
- Define success metrics: Work with Product, Tech, and Science to define success metrics and the instrumentation behind them for new features before they launch, ensuring measurable outcomes.
- Turn data into insight: Design insight-driven dashboards in Looker that answer strategic questions and tell a clear story rather than just displaying numbers, partnering with the BI analyst, who takes on their ongoing development and maintenance.
- Mentorship & standards: Act as a technical mentor to analysts, conducting code reviews (SQL/Python) and establishing best practices for analysis, data visualisation, and reporting.
What we would like to see from you:
- 6+ years of experience as a Data Analyst with a proven track record of delivering impactful insights.
- Strong proficiency in SQL and Python, with experience in data manipulation, analysis, and visualisation.
- Proven experience designing and interpreting experiments (A/B testing) and applying statistical methods to real business questions.
- Hands-on experience with Google Cloud Platform (GCP), specifically BigQuery and Looker, is highly preferred.
- Excellent communication and presentation skills, with the ability to explain complex data concepts to both technical and non-technical audiences.
You’ll stand out if you bring:
- Championing a data mindset across the org.
- Applying advanced analytics / machine learning techniques to real-world datasets.
- IDE automation and AI tooling (Cursor, Claude, Copilot, Vertex, Gemini, etc.), LLM integrations applied to data and BigQuery, and Agentic AI / MCP experience.
25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service).
Growth Shares allocated after passing probation (6 months of service).
Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme.
Nursery Sacrifice Scheme.
Work Overseas Perk - Work globally for up to 2 weeks.
Life Assurance.
SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family.
Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist.
Award winning L&D platform with personal allocated training budgets.
Enhanced paid family leave.
Flexible hybrid working environment.
Free Barista Coffee/Tea, biscuits with fruit in the WeWork office.
Free access to WeWork discounts and free online well-being sessions.
Vitality Health - a range of options available on this below.
The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example:
- Private Health cover including Dental, Optical, and Audiology.
- 50% off monthly gym memberships.
- Apple watches significantly discounted based member vitality status.
- Half price trainers with Runners Need.
- Weekly rewards – Free coffee with Café Nero.
- Monthly rewards – Free Cinema ticket.
- Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status.
- Amazon prime free months based on activity.
- Up to 25% cashback at Waitrose when buying healthy foods.
- 75% off stays at Champneys Health Spas.
- Allen Carr’s £299 no smoking programme for free.
- Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace.
- Discounts on Weight Watchers.
Our Culture & Recruitment Process:
At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected.
As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world.
Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to careers@iproov.com.
Senior Data Analyst employer: iProov
iProov is an exceptional employer that champions diversity and inclusion, creating a supportive environment where every employee can thrive. With a hybrid work model based in the vibrant WeWork Waterloo in London, employees enjoy flexible working arrangements alongside competitive benefits, including a performance bonus and share options. The company prioritises personal growth and innovation, empowering its team to make meaningful contributions to cutting-edge biometric solutions that enhance security for clients worldwide.
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 iProov!
✨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 iProov.
✨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 iProov.
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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 iProov, 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 iProov. 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 iProov
✨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 iProov!
✨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.
