Lead Data Analyst / Data Product Lead - Managing Consultant
The Opportunity
You'll lead the delivery of analytical outcomes that enable organisations to realise their strategic vision. Acting as the bridge between business goals, data requirements, and technical implementation, you'll guide multidisciplinary teams and help clients modernise their data platforms, analytical capabilities, and decision‑making processes. This role is ideal for someone who thrives in complex environments, enjoys solving ambiguous problems, and is passionate about modern cloud, big data, and analytics technologies.
What You'll Do
- Own and lead analytical delivery within broader data platform or transformation programmes.
- Guide teams of analysts, data engineers and analytics engineers to deliver end‑to‑end outcomes—from data workflows to analytical services and reporting assets.
- Define and uphold standards for requirements, documentation, code quality, version control, and release management.
- Partner with stakeholders across business and technology to prioritise work, manage expectations, and drive adoption.
- Run workshops to clarify requirements, map processes, and align teams on analytical definitions and success criteria.
- Shape and maintain analytical services, ensuring clear "definition of done" for outputs and user stories.
- Promote best practices in cloud, big data, analytics engineering, and AI‑accelerated frameworks.
- Contribute to proposals, shaping analytics workstreams, estimating effort, and defining delivery approaches.
- Support the creation of reusable assets such as analytics frameworks, reconciliation packs, and migration playbooks.
- Act as a role model for consulting behaviours: curiosity, clarity, pragmatism, integrity, and client empathy.
About You
You bring a blend of analytical depth, technical understanding, and strong consulting skills. You can see the bigger picture, navigate ambiguity, and lead teams to deliver high‑quality analytical products.
Experience & capabilities include:
- Significant experience leading analytical product delivery in complex, multi‑team environments.
- Proven track record delivering analytical and technical outcomes on modern cloud platforms (e.g., AWS, Azure, Snowflake, Databricks).
- Strong experience with data migration validation, reconciliation, data controls, and go‑live readiness.
- Ability to mentor analysts and collaborate effectively with engineers and architects.
- Strong stakeholder engagement skills across business and technical teams.
- Advanced SQL and Python skills.
- Solid understanding of data modelling (dimensional; Data Vault familiarity a plus).
- Strong BI and analytics experience (dashboarding, semantic modelling, storytelling).
- Familiarity with modern data warehousing, distributed processing, streaming, and DataOps.
- Comfortable leading iterative delivery using agile principles.
Qualifications & Tools
Experience with some of the following is beneficial:
- SQL/Python, Power BI, Tableau, Qlik, Dataiku, Alteryx
- AWS, Azure, GCP, Snowflake, Databricks certifications
- SAFe, Scrum Master or similar agile qualifications
- Modern data warehousing tools (Fabric, Lake Formation, Snowflake, Databricks)
- dbt or equivalent transformation tooling
- Airflow / ADF / Dagster
- Data governance, cataloguing, lineage tools
- Agile toolsets such as JIRA, Confluence, DevOps
Working Environment
- Permanent role with flexible working options.
- Hybrid model: typically 3 days per week in office (Newcastle).
- Some UK and international travel may be required.
- Eligibility for security clearance is essential.
What's in It for You
- Competitive salary with bonus potential.
- Highly collaborative culture with strong values and a people‑first mindset.
- Flexible benefits focused on wellbeing and lifestyle.
- 25 days' holiday, with the option to flex to 30.
- Two CSR volunteering days.
- Award‑winning learning and development, including dedicated training time.
- Personal tech budget for devices and accessories.
- Rapid progression opportunities in a high‑growth environment.
Please send me a copy of your CV if you're interested
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