Cleo
Lead Analytics Engineer (6-month contract)
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About The Company
About Cleo
At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating.
Cleo is a rare success story: a profitable, fast-growing unicorn with over $380 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact.
If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit.
Follow us on LinkedIn to keep up to date with new product features and insights from the team.
About The Role
Contract: Up to six months, with a formal review at the end of month four
Team: People Analytics, partnering across Data and People
Cleo's People data spans core employee, recruitment, performance and engagement systems. We need a reliable foundation that connects these sources, preserves change over time and enables sensitive workforce information to be used safely.
We are looking for a Lead Analytics Engineer to own the architecture and modelling for this work. You will partner with the teams responsible for our People systems, data platform, security and privacy, turning source data into trusted datasets that People Analytics and leadership can use.
This is a time-bound assignment for someone who can make difficult technical decisions independently, work across Analytics, Security, Privacy and the People team, and leave the domain supportable after handover. The work is ordered by priority. New requests will replace an agreed deliverable rather than stack on top.
What You'll Be Doing
- Designing and building trusted models for hiring and applicant-tracking data from Ashby, and talent and performance data from HiBob, including source mappings, keys, history and reconciliation.
- Strengthening the core employee model so it reliably represents employees, jobs, teams, managers and change over time.
- Bringing engagement and survey data into the People data foundation in a consistent and reusable way.
- Setting clear model boundaries, grain, naming, tests, documentation and data contracts across the People domain.
- Identifying and resolving duplicate, legacy or conflicting People models without silently breaking downstream use.
- Designing a secure architecture for compensation, workforce cost and other highly restricted fields. Normal analytical use should rely on masked, aggregated or purpose-specific outputs rather than broad access to raw employee-level data.
- Designing and building a People data access-audit layer that makes restricted queries attributable to a named identity, retains useful evidence, and alerts the right owner to agreed unauthorised or high-risk access patterns.
- Working with Security, Privacy, Finance, Reward and business owners to agree access rules, disclosure controls and acceptance before restricted data is used.
- Creating a small set of clear, governed workforce measures and datasets for leadership reporting, while using the native reporting in People systems where it already meets the need.
- Adding tests, monitoring, failure routes, runbooks and handover evidence so permanent owners can operate and change the work after the contract ends.
- Enabling People Analytics to focus on workforce and hiring questions by providing reliable, secure and reusable data foundations.
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What We're Looking For
Must-haves
- Significant production Analytics Engineering experience, including technical leadership for a critical data domain.
- Expert SQL and dbt, with strong judgement on source, staging, intermediate, mart and semantic-layer design.
- Experience making architectural decisions about grain, history, slowly changing dimensions, incremental strategies, legacy boundaries and model contracts.
- Experience leading a source-system migration or cutover while preserving history and reconciling outputs.
- Strong data security and governance experience, including named access, least privilege, restricted schemas, masking or column controls, and auditable use of sensitive data.
- Experience using warehouse access and query logs to create useful monitoring, investigation evidence or alerts.
- Strong Git, PR review, testing, documentation and production-support habits.
- The ability to explain technical choices and trade-offs clearly to Analytics, Security and non-technical business owners.
- Evidence of leaving a complex data domain maintainable after handover.
- Sound judgement and discretion when working with confidential employee, compensation and performance information.
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Nice-to-haves
- Hands-on experience with HiBob or Ashby. Experience with another HRIS or ATS is also useful.
- Experience working with engagement or survey data.
- People or HR data experience, including effective-dated employment and organisation history.
- Redshift, Airflow, Fivetran, Lake Formation or similar access-control and orchestration tooling.
- Experience designing privacy-preserving analytical products for compensation or other highly restricted data.
- Experience leading a data domain independently while partnering effectively with platform and engineering teams.
The role will partner with the teams responsible for source systems and ingestion, while owning the design and quality of the People data models and foundations delivered through the assignment.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Cleo AI. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Cleo AI may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Cleo AI's Candidate Privacy Notice
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