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About the Role
EXL is seeking a Data Analyst with a passion for sports to support a client in the Sports, Media and Entertainment practice. This role is based in London and focuses on turning complex fan datasets into clear insights to drive business decisions and support international marketing campaigns.
Responsibilities
- Write efficient SQL and Python to extract, clean, transform and analyse large fan and marketing datasets.
- Work within cloud data platforms (Databricks, Snowflake, AWS) to build and maintain analytical datasets and workflows.
- Develop analysis plans to address business questions and deliver answers.
- Summarise large data outputs into clear, business-friendly takeaways for stakeholders.
- Build and maintain dashboards and recurring reports on fan growth, engagement and lifecycle metrics.
- Monitor campaign and go-to-market (GTM) performance using agreed KPIs and success criteria.
- Contribute to regular performance updates for team leads and senior stakeholders.
- Prepare audience segments and data for 1:1 marketing campaigns, including test/control groups.
- Support segmentation analysis to deepen fan engagement in local markets.
- Support user acceptance testing (UAT) of database changes and updates.
- Assist data engineering teams with root cause analysis (RCA) of data issues and bugs.
- Gather and document business requirements with marketing, international and data engineering teams.
- Liaise with third-party partners on data needs and definitions.
Requirements
- Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Business or a related field, or equivalent experience.
- 2–5 years of experience in a data analyst or similar role.
- Strong SQL skills, including complex joins, aggregations and window functions.
- Proficiency in Python for data analysis (e.g., pandas, NumPy).
- Hands-on experience with at least one cloud data platform: Databricks, AWS or Snowflake.
- Strong analytical and problem-solving skills, with close attention to detail.
- Ability to explain technical findings clearly to non-technical audiences.
- Must already be eligible to work in the United Kingdom.
Skills
- SQL
- Python
- Databricks
- AWS
- Snowflake
- BI and visualisation tools (e.g., Tableau, Power BI, Looker)
- Marketing analytics
- CRM analytics
- Customer analytics
- Consent management
- Identity resolution
- UK GDPR
- Consulting
- Client-facing experience
- Sport passion
- Global fan cultures understanding
Location
- London, United Kingdom
Work Type
- Hybrid working 3 days a week in the client office
- Permanent
Experience Level
- 2–5 years of analytics experience
Education Level
- Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Business or a related field, or equivalent experience.
Salary/Compensations
- Competitive salary with a generous bonus
Benefits
- Private healthcare
- Critical illness life assurance at 4 x your annual salary
- Income protection insurance
- Rewarding pension
- Everyday financial well-being solutions (cash back cards, discounts, promotions, offers)
- Cycle Scheme
- Professional and personal development opportunities
- Learning initiatives (online courses, seminars, workshops)
- Employee Stock Purchase Plan (ESPP)
About the Company
- EXL is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed.
- EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others.
- EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.
- Headquartered in New York with more than 60,000 employees spanning six continents.
Equal Opportunity
- As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.