Lead Data Analyst/Data Product Lead

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.
• 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 workstreams 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, commercial partners and technical teams at all levels.

Core Skills:

• Advanced analytical, SQL and python skills.
• Strong data modelling understanding (dimensional modelling; familiarity with Data Vault concepts a plus).
• Strong BI/analytics experience (advanced analysis, dashboarding, semantic modelling, stakeholder storytelling).
• Able to manage conflicting ideas and provide clarity and focus through excellent written and verbal communication, to technical and business stakeholders alike.
• Familiar with best practice in cloud and big data & analytics knowledge concepts such as enterprise MI, distributed data processing, streaming, modern data warehousing and DataOps.
• Can lead delivery iteratively in a highly connected environment using agile principles such as sprint planning, daily scrums, and retrospectives.

Qualifications & certifications:

• Data analysis such as in SQL or Python, or relevant degree.
• Visualisation and analysis tools such as Power BI, Tableau, QlikView, Dataiku or Alteryx.
• Relevant data engineering / data scientist certification on AWS, Azure, GCP, Snowflake or Databricks. (desired)
• Cloud architecture in AWS or Azure.

Technical toolkit:

• Modern Data Warehousing: Fabric, Lakeformation, Snowflake, Databricks or equivalent on AWS, Azure or GCP.
• Transformation / analytics engineering: dbt (or equivalent), CI/CD, code review practices.
• Observability: Airflow / ADF / Dagster (or equivalent).
• Data governance & metadata: catalog/lineage tooling, access controls, data classification.
• Agile toolsets: SharePoint, Confluence, DevOps JIRA.

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary (£65,000-£80,000) and a comprehensive benefits plan. Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts.

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community.