At a Glance
- Tasks: Create impactful dashboards and ensure data accuracy for key business insights.
- Company: Join iProov, a leader in biometric security solutions with a diverse and inclusive culture.
- Benefits: Enjoy competitive pay, flexible working, generous leave, and wellness perks.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Make a real difference in data-driven decision-making while growing your career.
- Qualifications: 3+ years in BI analysis, strong SQL skills, and dashboard experience required.
The predicted salary is between 63000 - 77000 £ per year.
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 Waterloo (London) - Hybrid (At least once per week)
- Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits
As our Business Intelligence Analyst, you will be the engine of the team's reporting layer, the person who makes trustworthy data accessible to the whole business. You will turn well-designed analyses into dashboards people rely on every day, own the accuracy and upkeep of our reporting, and be the responsive first point of contact for the questions stakeholders need answered quickly. You’ll work closely with the Senior Data Analyst on the analytical side and the Analytics Engineer on the modelling side, taking increasing ownership of dashboard design and development over time.
How you can make an impact
- Build and maintain dashboards and reporting: Develop dashboards in Looker — bringing to life the insight-driven designs shaped with the Senior Data Analyst — and own their ongoing accuracy, maintenance, and iteration.
- Own recurring reporting: Run and improve the team's regular reporting cadence, making sure numbers are consistent, timely, and clearly presented.
- Be the responsive front door: Handle standard ad-hoc analytical requests, giving stakeholders quick, reliable answers and routing deeper questions appropriately.
- Keep the business self-serving: Own the consumer-facing data dictionary and documentation so stakeholders can find and trust the metrics they need.
- Work within the semantic layer: Build on the LookML models and semantic layer owned by the Analytics Engineer, following and helping refine reporting conventions and standards.
- Safeguard data quality: Spot inconsistencies in reporting and flag issues upstream so they get fixed at the source.
What we would like to see from you
- 3+ years of experience in a data or BI analyst role, with a track record of delivering reporting and dashboards that the business relies on.
- Strong SQL for querying and shaping data, and confidence working independently across a data warehouse.
- Hands-on experience building and maintaining dashboards in Looker (or a comparable BI tool such as Tableau or Power BI), with a good eye for clear data visualisation.
- Strong attention to detail and a genuine care for data accuracy.
- Clear communication with business stakeholders, and the ability to translate a request into the right report.
You’ll stand out if you have:
- Google Cloud Platform (GCP), especially BigQuery.
- Python for data manipulation and automation.
- Exposure to transformation tooling (dbt / Dataform).
- Curiosity about statistics and experimentation, a natural growth path toward the Senior Data Analyst track.
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.
BI Analyst in London 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 BI Analyst 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 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 BI 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.
✨Apply Directly through Our Website
When you find a suitable opening like BI Analyst at iProov, 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 BI Analyst 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 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.
