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About the Role
Lead Chip's Analytics team day-to-day, ensuring timely and high-quality delivery of data requests, product dashboards, MI, analysis, and operational controls. Develop and manage a team of analysts.
Responsibilities
- Line manage the analytics team, including Analysts and the Analytics Lead, covering 1:1s, objectives, performance, and development.
- Own the intake and prioritization of data requests from across the business, setting and meeting turnaround SLAs.
- Supply accurate and timely reporting, analysis, and operational data to various teams including Finance, Marketing, Product, and Operations.
- Partner with Product Managers to support feature rollout, performance tracking, and post-launch reviews.
- Own analytics-built operational controls, monitoring, and MI, ensuring they are timely, documented, and current.
- Allocate analysts across Product, balancing BAU demand against Product requirements.
- Collaborate with the Analytics Lead to maintain coding, visualization, and data quality standards.
- Prioritize team automation and tooling requests, ensuring adoption and control of delivered tools.
- Own hiring, development, and performance management for the team.
- Foster a culture of quality, collaboration, accountability, and continuous improvement.
- Support the Analytics Lead's growth as a technical specialist.
- Proactively raise risks and capacity constraints with the Head of Operations.
Requirements
- Experience managing or leading a team of data analysts, preferably in a fast-paced, product-led, or regulated environment.
- Strong SQL skills and experience with BI tools.
- Comfortable interpreting and challenging data.
- Experience prioritizing competing requests from various stakeholders.
- Understanding of operational controls and data quality.
- Ability to translate business problems into clear technical requirements.
- Strong data storytelling skills for diverse audiences.
- Excellent stakeholder management skills across all organizational levels.
Skills
- SQL
- BI tools
- Data interpretation
- Data challenging
- Stakeholder management
- Data storytelling
- Operational controls
- Data quality
- Databricks
- Python
- Data governance
- AI tools
Location
- UK-based
Work Type
- Flexible working arrangements
Experience Level
- Management experience
- Team leadership experience
Education Level
- Degree in Mathematics, Statistics, Economics or a related field
Benefits
- Discretionary Performance-Related Annual Bonus
- Workplace pension scheme (5% contribution on earnings up to £50,000)
- Private medical insurance (medical history disregarded)
- Employee Assistance Programme
- Cycle to work scheme
- Season ticket loan
- Free ChipX subscription for UK-based employees
- 28 days holiday plus bank holidays, plus days between Christmas and New Year
- Annual training budget
- £30 per month Chip Fitness Benefit
- Company laptop
About the Company
- Chip's mission is to make your life wealthy.
- Building the wealth super app of the future, covering savings, investments, and pensions.
- Using technology to break down barriers for users to invest like the ultra-wealthy.
- Ranked as the 6th fastest-growing tech company in Britain by The Sunday Times.
- Serves over 500,000 active customers and manages over £6 billion in assets.
- One of Europe's most crowd-funded businesses, raising over £50m from 29,000 investors.
- Vision: To be the most personal digital wealth manager in the UK.
- A creative and diverse team of 200 driven and passionate people.
- Awarded Best Personal Finance App at the 2022, 2024 & 2025 British Bank Awards.
- Values: Be ACCOUNTABLE, Be BOLD, Be COLLABORATIVE.
Equal Opportunity
- We are an equal-opportunity employer and value diversity.
- Passionate and committed to our people, going beyond the rhetoric of diversity and inclusion.
- Working in an inclusive environment, encouraged to bring your whole self to work.
- Encouraged to develop professional and personal aspirations, enjoy new experiences, and learn from talented colleagues.
- Talent is what matters; applications are encouraged irrespective of gender, race, sexual orientation, religion, age, disability status, or caring responsibilities.