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Lead Data Analyst​/Data Product Lead

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Credera
Full Time, Part Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

We know great talent comes in many forms - including people returning from a career break. If you’re looking for part-time hours, flexible working, or a supportive transition back into your career, we’d love to explore how we can make this role work for you.

Are you an analytical problem solver who is keen to work with and has a passion for the latest technologies in cloud and big data? Are you able to bridge the divide between business objectives, data and technical requirements on projects that are crucial for our clients? Are you able to lead others in both? If this resonates as a Lead Data Analyst, this is a great opportunity for you.

Here’s

what you will do

The Lead Data Analyst/Data Product Lead role ensures alignment for our clients’ data and analytical outcomes, enabling their organisation to achieve its strategic business vision. Data has become the key driver for business strategic decisions and delivering insight, across our private and public sector clients. The role will support our client's data & technical transformation journey by bridging the gap between the technical landscape, data implementation, and business environment.

Hours

This is a permanent role within our Technology function. At Credera, we operate a flexible hybrid working model. This requires 3 days per week working onsite - either at client site (as required) or in your local Credera office (London, Manchester, Leeds or Newcastle). We value collaboration and client impact, so our hybrid model is designed to strike a balance between flexibility, in-person connection, and delivering exceptional outcomes for our clients.

To meet our client's needs, you will be security clearable.

Responsibilities
  • Leads delivery for analytical outcomes on clients. Owns the analytics delivery plan within a broader data platform or data programme.
  • Lead teams of analysts, data engineers and analytical engineers to deliver end-to-end outcomes that may include technical implementations of data workflows, implementations of analytical services and platforms, or delivery of new reporting or intelligence assets.
  • Set clear standards for requirements, documentation, code quality, version control practices, peer review, and release management.
  • Partner with client stakeholders (Product, Ops, Finance, Risk, etc.) to prioritise work, manage expectations, and drive adoption.
  • Run workshops to elicit requirements, clarify definitions, map processes/data dependencies, and align teams on “what good looks like.”
  • Support the build and maintenance of key analytical services and business offerings, and own the “definition of done” for analytical outputs and user stories
  • Lead implementation best practices to help business teams, analysts and data scientists accelerate innovation, using modern cloud, big data, analytics & AI-accelerated frameworks.
  • Contribute to proposals and pre-sales: shaping analytics work streams and opportunities, estimating effort, defining team shape, and articulating delivery approach.
  • Support the development of reusable assets (advanced analytics guidance, hypothesis testing frameworks, reconciliation packs, migration playbooks, etc.).
  • Act as a role model for consulting behaviours: curiosity, clarity, pragmatism, integrity, discipline, and client empathy.
Who are you?

Experience:
  • You should be a highly analytical problem solver that is able to see the “bigger picture” when gathering requirements, analysing processes and workflows and designing system solutions.
  • You should have significant experience leading analytical product delivery in complex, technical environments (3+ years of multi-team, multi-domain, high governance).
  • You have a track record delivering analytical and associated technical outcomes on modern platforms (cloud DWH/lakehouse transformations, major reporting migrations, or enterprise BI modernisation).
  • You have strong experience with migration validation / reconciliation, data controls, and “go-live readiness” for advanced analytics.
  • Proven ability to lead and mentor analysts, and to work effectively with data engineers and architects to deliver shared outcomes.
  • Experienced in building a trusting relationship with business users,…
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