At a Glance
- Tasks: Create impactful dashboards and ensure data accuracy for informed decision-making.
- Company: Join iProov, a leader in biometric solutions with a focus on diversity and inclusion.
- Benefits: Enjoy competitive pay, flexible working, and extensive health perks.
- Other info: Work in a supportive culture that values your unique perspective and growth.
- Why this job: Be part of a dynamic team making the world safer through innovative technology.
- Qualifications: 3+ years in data 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 careers@iproov.com
Business Intelligence 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 Business Intelligence Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like iProov!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at iProov, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at iProov
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with iProov’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
