Lead Data Analyst
Listed on Experian’s official careers site. Posted October 2, 2026. Check that it is still open and apply there.
Apply on Experian’s careers site →Job description
Experian Business Information (BI) , a premier data analytics and database marketing services, is seeking a Lead Analyst to join their dynamic team. The Lead Analyst will independently conduct analyses and help develop complex descriptive and predictive analytical solutions. You will lead and mentor other Data Analysts, ensuring the use of best practice analytical methodologies. Additionally, you will guarantee the robustness of solutions by adhering to established quality procedures.
You will be reporting to the Head of Analytics.
What you will do
Be responsible for producing analysis, design and implementation of well tested data solutions to meet business requirements. Maintenance of existing systems. You will have an ownership of creating, modifying and monitoring of automated processes for clients. Pre-sales and post-sales technical assistance at an appropriate level to clients, business analysts, sales executives or account managers. Be responsible for a team of Data Analysts, including goal setting, performance management, and regular 1:1s Coach, mentor, and develop analysts to build technical capability, analytical thinking, and client engagement skills with the focus on automation, client satisfaction and AI usage You will be providing analysis and consulting services & solutions, within a data environment, to FTSE 250 clients.
You will have the opportunity to work closely with some major blue-chip clients across a number of sectors including Banking, Energy and Telecommunications. You will also be working directly with senior members of the organisation on a structured career path, which will start with data analysis, consultancy work and database development (PLSQL / SQL /Oracle).
Qualifications
What you will bring
- 3+ years of relevant industry experience
- Knowledge of SQL, Oracle and Python Coach/Team lead experience Understanding of data, data structures and their value regarding use for analysis, marketing and CRM Good knowledge of relevant statistical and IT packages
- Engage externally with clients and build relationship Fluency in English
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