Who we are:
Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. Pretty great, right?
We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we've achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we’ve got big growth plans.
Want to join us?
About the Role.
At Zilch, data is a core driver of company strategy. We’re looking for a Senior Data Analyst to join our Core Data team, playing a key role in shaping how insights, metrics, and analytics are delivered and consumed across the business.
This role focuses on building foundational analytics capabilities that enable product and business teams to make better decisions at scale. You’ll work closely with Services Ops, Analytics Engineering, and Data Engineering teams to define trusted metrics, develop scalable reporting and experimentation frameworks, and deliver deep-dive analyses on company-wide priorities.
You’ll be a hands-on, highly technical individual contributor, comfortable operating in ambiguity and influencing without authority. While this role does not include direct line management, you’ll act as a senior voice in the team - setting standards, mentoring peers, and helping shape the future direction of analytics at Zilch.
Key Responsibilities.
Data Quality & Analytics Engineering Collaboration
- Partner with Analytics Engineering and Data Engineering to improve data models and pipelines in DBT.
- Ensure trusted, well-documented datasets in Snowflake that support scalable analytics and reporting.
Metric Governance & Foundations
- Define, document, and evolve core company metrics and KPIs in partnership with Analytics Engineering and Data Platform.
- Contribute to a consistent semantic layer and single source of truth for dashboards, analyses, and downstream tools.
Data Visualisation & Storytelling
- Design, build, and maintain high-quality dashboards and self-serve analytics (Looker or equivalent).
- Translate complex data into clear, actionable insights that support decision-making across the organisation.
Analytical Ownership
- Lead complex, cross-domain analyses on business-critical topics such as customer behaviour, product performance, risk, and operational efficiency.
- Provide actionable recommendations to senior stakeholders based on your findings.
Cross-Functional Partnership
- Act as a trusted analytical partner to Product, Finance, Risk, Operations, and Underwriting teams.
- Help frame problems, prioritise opportunities, and evaluate impact using data.
Experimentation & Measurement
- Design and analyse experiments (A/B tests and other causal approaches).
- Establish robust measurement frameworks and ensure learnings are embedded into future decision-making.
Enablement & Scale
- Improve data literacy and analytical access across the company.
- Contribute to documentation, best practices, and self-service tools that allow teams to answer questions confidently.
Mentorship & Leadership Readiness
- Support the growth of junior and mid-level analysts through mentoring, feedback, and knowledge-sharing.
- Foster a collaborative, high-bar analytics culture.
Proactive Ownership
- Take accountability for outcomes in ambiguous environments.
- Balance short-term business needs with long-term analytical foundations.
What We’re Looking For.
- Proven ability to thrive in a fast-paced, high-growth environment.
- 5+ years’ experience in analytics, data analysis, or a related role in a product-led or data-driven organisation.
- Advanced SQL skills with hands-on experience using Snowflake and DBT for data modelling and transformation.
- Strong experience with modern BI tools (Looker or equivalent). Python experience is a plus.
- Solid understanding of data modelling, experimentation, and analytical best practices.
- Demonstrated ability to turn complex data into clear, actionable insights that drive measurable business impact.
- Excellent communication and stakeholder-management skills, able to influence senior, non-technical audiences.
- Experience working with cloud-based data stacks and modern analytics pipelines.
- Exposure to analytics-engineering practices (DBT, metric layers, testing, CI/CD) is a strong plus.
- A collaborative mindset with a passion for building scalable, high-quality analytics foundations.
Benefits.
Compensation & Savings:
- Pension scheme.
- Death in Service scheme.
- Income Protection.
- Permanent employees enjoy access to our Share Options Scheme.
- 5% back on in-app purchases.
- £200 for WFH Setup.
Health & Wellbeing:
- Private Medical Insurance including;
- GP consultations (video, telephone or face-to-face).
- Prescribed medication.
- In-patient, day-patient and out-patient care.
- Mental health support.
- Optical, dental & audiological cover.
- Physiotherapy.
- Advanced cancer cover.
- Menopause support.
- Employee Assistance Programme including:
- Unlimited mental health sessions.
- 24/7 remote GP & physiotherapy.
- 24/7 helpline for emotional & practical support.
- Savings & discounts on everyday shopping.
- 1:1 personalised well-being consultations.
- Gym membership discounts.
Family Friendly Policies:
- Enhanced maternity pay.
- Enhanced paternity pay.
- Enhanced adoption pay.
- Enhanced shared parental leave.
Learning & Development:
- Professional Qualifications.
- Professional Memberships.
- Learning Suite for e-courses.
- Internal Training Programmes.
- FCA & Regulatory training.
Workplace Perks:
- Hybrid Working.
- Casual dress code.
- Workplace socials.
- Healthy snacks.
Top Skills
What We Do
On a mission to eliminate the cost of consumer credit. For good.
