Data Business Analyst Lead - Insurance Sector
Negotiable DOE £75,000 - £85,000
Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance
Surrey/Hampshire boarder (hybrid working 2 office days per week)
Employment Type: Permanent, full time
Job Reference: J12919
Are you passionate about data and keen to make a significant impact? Our client is a well-loved brand with an enviable set of data assets. They are focused on making Data one of only four strategic priorities for the Group. Their growing team is modernising data infrastructure to a cutting-edge cloud platform, enabling machine learning and GenAI. Join them at this exciting time and be part of a team that is driving meaningful change for their customers, colleagues, and shareholders.
The role
The Data team is on a mission to make data their strength, and they are seeking an exceptional Data Business Analyst Lead to help them achieve this goal. They are in the midst of an exciting transformation, reshaping their ways of working and significantly increasing their Business Analysis presence to ensure stakeholder needs are understood and represented throughout each delivery.
This role will lead the Business Analysis team within Data & Analytics, fostering a fun, innovative, high-quality, and professional working environment. The Data Business Analysis team is responsible for ensuring key data business outcomes are defined, articulated, understood, and successfully delivered by the wider data team. This role will form and manage a high-performing team of Data Business Analysts, setting the standard by driving best practice ways of working and excellent collaboration.
More specifically
Conduct regular one-on-one meetings to coach and mentor Business Analysts, ensuring timely and high-quality project delivery.
Develop and implement Business Analysis Patterns and Frameworks.
Foster effective collaboration within the Data team, COO team, and stakeholders.
Prioritise work based on business needs, driving backlog delivery and clear stakeholder communication.
Elicit and translate business needs into data requirements, ensuring fit-for-purpose data products.
Maintain requirement traceability and support queries and escalations, ensuring the programme remains on track.
What you will need
Proven experience in leading a Business Analysis team and conducting data analysis using tools like SQL or Python within Databricks.
Comprehensive understanding of the data domain, including governance, architecture, modelling, engineering, delivery, quality, master data, and the role of data in analytics, reporting, and business intelligence.
Familiarity with all stages of the software development life cycle and project management methodologies, including Agile, Scrum, and Waterfall.
Superior communication and influencing skills across all levels of the business, with strong leadership abilities and a structured problem-solving approach.
Robust knowledge of GDPR and its implications on data management, with experience in the Insurance Industry and understanding of regulatory bodies like the Financial Conduct Authority highly desirable.
Having said the above applications from candidates with Insurance / Financial Services / Regulatory / Data backgrounds would all be seriously considered for those with a solid BA and leadership experience
Analytical and logical thinker with a results-oriented mindset, high standards, and a commitment to continual assessment and improvement, confident in advocating for the benefits of data-driven decision-making.
If this sounds like you then please apply!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
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