Technical Data Business Analyst
Indexed description
- 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
- 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)
- 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
Jensten is entering an exciting new chapter, with the business evolving into two clearly defined trading divisions: Broking and Product & Distribution. The Broking division will bring together Regional Broking, Specialist Lines & London Markets, and also Network Broking- while Product & Distribution will unite Jensten’s market-leading Schemes & Affinity businesses with Jensten Underwriting. This will enable us to deliver tailored insurance solutions directly to clients and through a network of trusted third‑party broking partners.
Thanks to strong organic growth and a strategic acquisition programme, Jensten is now a Top 10 Independent Broker, placing around £600 million GWP into the market. We employ over 1,000 colleagues across 50 locations across the UK and Ireland and support 93 entrepreneurial franchise holders nationwide.
Our purpose — “Protecting today, empowering tomorrow” — reflects the role we play for our clients, our communities and each other. Our people bring this to life every day through our values: Caring, Curious, Skilled and Bold.
We sit in a unique space between large consolidators and local brokers — big enough to offer capability and influence, yet agile enough to maintain the culture, autonomy and client focus of a truly independent business
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