Data Analyst – Data Science Support

Spotlight Sports Group

Data Analyst providing analytical and data science support for sports and racing at Spotlight Sports Group. Generating reports, dashboards, and maintaining communication with stakeholders.

Posted 7/30/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical skills with hands-on experience in SQL and Excel for reporting and data manipulation. Capable of supporting data science projects and communicating effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

SQL QueryingExcel ReportingPython ProgrammingStatistical ModellingAWS Cloud Infrastructure

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisData ManipulationStatistical ModellingData Science TechniquesAd Hoc Analysis

Soft Skills

Clear CommunicationProblem-SolvingStakeholder Engagement

Tools & Technologies

AWS CloudWatchAWS Batch JobsAWS Step FunctionsSiQ Platform

Industry Keywords

B2B Data ScienceSports DataRacing Data

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Deliver reporting, dashboards and ad hoc analysis for internal and external stakeholders.
Maintain the data roadmap dashboards and associated tracking.
Provide cover for the Lead Data Scientist during absence or periods of high demand.
Absorb overflow capacity for multiple B2B Data Science projects.
Support ad hoc manual runs and production tasks tied to the SiQ platform.
Assist with testing and validation of new or updated Data Science models.
Act as a day-to-day point of contact for Racing, Sports and B2B stakeholders on data requests.

Requirements

What you’ll need

Strong analytical skillset, with hands-on experience querying and manipulating data (SQL essential).
Confident working in Excel for reporting, tracking and ad hoc analysis.
Working knowledge of Python, or a clear ability to pick it up quickly.
Comfortable moving between structured, day-to-day analyst work and more exploratory data science problem-solving.
Clear, confident communicator, able to work with both technical and non-technical stakeholders.
Prior exposure to statistical modelling or data science techniques (Desirable).
Experience with AWS (CloudWatch, Batch Jobs, Step Functions) or similar cloud data infrastructure (Desirable).
Interest in or experience with sports or racing data (Desirable).

Benefits

Comp & perks

Private medical insurance
Excellent parental leave
Working globally policy
Mental health support
Assistance programs
Social gatherings
Pension scheme
Various other benefit schemes
Birthdays off work
25 days of holiday per year
Life assurance
Exclusive perks like the Star card
Step Further Awards for employee recognition
Season Ticket Loan
Cycle to Work Scheme
Complimentary access to Racing Post Members Club with Ultimate Membership
Opportunity to volunteer two days per year with charity partner