At a Glance
- Tasks: Translate business needs into data requirements and collaborate with engineers and data scientists.
- Company: Join Jensten Group, a leading insurance intermediary known for its supportive culture.
- Benefits: Enjoy competitive salary, 27 days leave, flexible benefits, and professional development support.
- Other info: Be part of a dynamic team with excellent career growth opportunities in a top independent broker.
- Why this job: Make an impact in a fast-paced environment while working with cutting-edge data technologies.
- Qualifications: Experience in data analysis, SQL, and BI tools; strong communication and teamwork skills.
The predicted salary is between 40000 - 50000 £ per year.
The role involves working in the JenTech Division within the Data & Technology team, reporting to the IT Director. The main purpose is to translate business needs into precise, data-aligned requirements for engineers and data scientists across five strategic workstreams: Data Quality, Fabric Lakehouse, Machine Learning, AI & Natural Language Query, and Organisation & Governance.
Key objectives & responsibilities include:
- 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.
As a Technical Data Business Analyst, you should have strong teamwork ethic, communication, and collaborative skills with a keen eye for detail. You should be self-directed and comfortable operating with limited supervision in a fast-paced programme environment. You will also have:
- 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).
When you join us, you can expect a supportive culture and an attractive range of rewards and benefits which include:
- 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 one of the UK’s leading insurance intermediary groups, known for putting clients and people first. Since launching in 2018, we’ve built a standout business in a crowded marketplace — combining scale, deep technical expertise and entrepreneurial spirit. Our purpose — “Protecting today, empowering tomorrow” — reflects the role we play for our clients, our communities and each other.
Technical Data Business Analyst employer: Jensten Group
At Jensten Group, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As the Franchise Onboarding & Operations Lead, you will have the opportunity to lead a dedicated team, driving meaningful change and ensuring our franchise network thrives from day one. With a strong focus on employee growth and development, we offer comprehensive training and support, making this role not just a job, but a rewarding career path in a dynamic environment across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Data Business Analyst
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We think you need these skills to ace Technical Data Business Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jensten Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jensten Group
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.