Technical Data Business Analyst in Oldham

We’re now looking for a motivated & experienced Technical Data Business Analyst to join the Jensten Group. Ideally based from the Oldham or London area (with hybrid working options, remote option also considered), you’ll be working in our JenTech Division in the Data & Technology team. Reporting to the IT Director, the main purpose of the role is to translate business needs into precise, data-aligned requirements that engineers and data scientists can build against across all five strategic workstreams: Data Quality, Fabric Lakehouse, Machine Learning, AI & Natural Language Query, and Organisation & Governance.

Responsibilities

• Elicit, document, and validate data requirements from business stakeholders across Retail, Underwriting, Digital, and central functions.
• Translate business needs into technical specifications for Fabric Lakehouse pipelines, data models, Power BI dashboards, and ML feature engineering.
• Act as the primary interface between business users (branch managers, operations leads, underwriting, Digital team) and technical delivery teams.
• Communicate programme progress, data quality findings, and change impacts to non-technical stakeholders in clear, accessible language.
• Define ML-readiness thresholds per product and data field in collaboration with the Head of Data and Data Science Lead.
• Analyse data quality scorecards and translate findings into actionable remediation plans with named entity-level accountability.
• Work directly with strategic partner delivery teams on Lakehouse build, BI development, and data engineering requirements.
• Review partner deliverables against agreed specifications and acceptance criteria.
• Maintain the programme’s requirements documentation, data dictionaries, and process maps as living artefacts.
• Produce user stories, functional specifications, and test scripts for each delivery sprint.

About You

• Experience as a Business Analyst in a data, analytics, or BI environment.
• Experience as a Business Analyst ideally in the Insurance or Financial Services industry.
• Strong understanding of relational databases, SQL, and data modelling concepts.
• Familiarity with BI tools (Power BI preferred) and dashboard requirements definition.
• Ability to read and interpret data schemas, data dictionaries, and pipeline documentation.
• Competence in requirements management tools and documentation standards (user stories, functional specs, acceptance criteria).
• Strong facilitation skills for workshops, process mapping, and stakeholder interviews.
• Analytical rigour — able to interrogate data quality issues and translate findings into structured remediation plans.
• Hands-on experience with Microsoft Fabric, Azure Data Factory, or Databricks (ideally).
• Exposure to machine learning concepts — feature engineering, model validation, scoring pipelines (ideally).
• Familiarity with Acturis, Applied Systems, or other insurance policy administration systems (ideally).

Rewards & Benefits

• Competitive salary with an annual pay review and bonus scheme.
• 27 days annual leave (includes a day off for your birthday and another for a religious holiday of your choice) + bank holidays.
• Auto enrolment into our excellent pension scheme (5% employer matched contribution).
• Flex-benefits – a range of flexible benefits to choose from, that are most important to you.
• Group Life Assurance cover – a massive X4 of salary.
• 3 months Maternity, Paternity & Adoption leave all fully paid.
• Professional qualification study support relevant to your role and career.
• Perks at work – amazing discounts on cinema tickets, meals out, luxury items etc.
• Holiday purchase scheme – up to 5 days annually.