Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Analyst

Frive
London
1 week ago
Create job alert

Frive - Data Analyst

Reporting to - Senior Data and Analytics Manager

Location - Canary Wharf


About us

Frive (formerly Lions Prep) is the UK’s highest-rated ready-to-eat meal delivery subscription, delivering tens of thousands of fresh, natural, chef-prepared meals to customers’ doors across the UK each week.


We are committed to our vision of creating 100% organic meals without the hefty price tag, freeing us from a food system that compromises our health for profit


We work with people from all different backgrounds and communities and recognise our own biases. We strive to create a strong sense of belonging and believe we will be better equipped to achieve our goals by building a team that approaches problems from different angles, using different perspectives and experiences to solve problems. All qualified applicants will be considered and we have no regard for age, ethnicity, ability, gender, gender expression, gender identity, nationality, race, religion, or sexual orientation the more the merrier, and together we can achieve greatness


Mission:

We help busy people enjoy natural, healthy eating with ready-to-eat meals delivered to their door, proven to support their health goals.


Vision:

To transform health by revolutionising eating habits and restoring food to its natural form.

Values:

Empowerment: We empower our people to make strong, independent decisions with confidence

Transparency: We share information openly and with intention

Open Communication: We communicate directly and honestly

High Performance: We foster an environment that attracts, retains, and rewards high performance

Agility: We encourage flexibility in our people by reducing blockers and prioritising their creativity and productivity


Your impact

You'll play a key role in building and scaling our Looker instance, ensuring teams across Frive have the tools and data they need to make informed decisions. By delivering high-quality analysis and actionable insights to teams like Marketing, Finance, and Operations, you’ll help drive strategic initiatives and accelerate business growth. Your work will directly support a data-driven culture across the company.


Responsibilities:

  • Build and scale our Looker instance to support a self-serve analytics culture
  • Deliver clear, reliable dashboards and reports for Marketing, Finance, and Operations
  • Partner with teams to define metrics that track performance and unlock growth opportunities
  • Investigate trends, surface insights, and guide decisions with data-backed recommendations
  • Support company-wide analytical initiatives, from campaign reviews to financial forecasting
  • Improve data quality and structure to make analysis faster and more effective
  • Communicate findings in a way that's actionable—no data dumps, just answers that drive impact


About you

We’re a fast-moving, collaborative team, and things can change quickly—if that excites you, you’ll feel right at home. You don’t need a specific degree or a perfect CV. We care more about your mindset, your skills, and your willingness to learn.

  • You write solid SQL and feel confident working with large datasets
  • You’ve used a BI tool like Looker or Tableau to build dashboards that people actually use
  • You’re great at turning data into insights and helping others make informed decisions
  • You enjoy working with non-technical teams and explaining things clearly and simply
  • You’re proactive, curious, and excited to help shape how we use data across the business
  • Bonus: you’ve worked with Looker or helped build a BI setup before
  • Bonus: you’ve touched tools like dbt, BigQuery or Git—or you’re keen to learn them here


Staff Benefits:

  • Private Medical Insurance
  • 25 days Holiday + Public
  • Salary Sacrifice Pension
  • Bonus (paid out twice a year)
  • 50% Discount off our amazing food
  • Hybrid working pattern (2 days in our Canary Wharf office)
  • Enhanced mat/pat leave
  • Vitality PMI
  • Mintago Financial Wellbeing Platform – includes workplace mental health support via MIND, Free Financial Service Advice and LOTS more


What's next?

If you are interested in learning more about the role and think this could be for you, then don't hesitate and apply now. We look forward to hearing from you and love hearing from people who are passionate about our purpose and vision.

The Process:

  1. Initial conversation via Teams with our Head of Talent – you will learn about our story so far, ambitions for the future and of course have a chance to showcase your experience and talk through your own motivations
  2. Teams meeting with our Senior Data & Analytics Manager – getting more under the skin of what the expectations are in the role and some competency-based interview questions
  3. Task – presented in person in our Canary Wharf office to our Senior Data & Analytics Manager and Head Of Product – this will be a real insight how you’d approach some of the challenges on our roadmap, leveraging your existing experience, whilst adapting to our specific needs

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.