Data Analyst – Data Science Support

Spotlight Sports Group

. Deliver reporting, dashboards and ad hoc analysis for internal and external stakeholders as part of the Analyst team's regular workload .

Posted 10/8/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Highest-signal resume keywords

SQL QueryingExcel ReportingPython ProgrammingData AnalysisAWS Cloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLExcelPythonStatistical ModellingData Manipulation

Soft Skills

Clear CommunicationProblem-SolvingStakeholder Engagement

Tools & Technologies

AWS CloudWatchAWS Batch JobsAWS Step FunctionsSiQ PlatformSports Data Platform

Industry Keywords

B2B Data ScienceRacing DataSports Data

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Deliver reporting, dashboards and ad hoc analysis for internal and external stakeholders as part of the Analyst team's regular workload
Maintain data roadmap dashboards and associated tracking
Provide cover for the Lead Data Scientist during absence or periods of high demand
Absorb overflow capacity when multiple B2B Data Science projects run concurrently
Support ad hoc manual runs and production tasks tied to the SiQ platform, Group Racing Platform, Python scripts and Sports Data Platform
Assist with testing and validation of new or updated Data Science models under the Lead Data Scientist's direction
Act as a day-to-day point of contact for Racing, Sports and B2B stakeholders on data requests
Keep data practices consistent with wider Data function standards

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, including CloudWatch, Batch Jobs and 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
Birthday off work
25 days of holiday per year
Life assurance
Star card exclusive perks
Step Further Awards employee recognition program
Season Ticket Loan
Cycle to Work Scheme
Complimentary Racing Post Members Club Ultimate Membership
Two paid volunteer days per year with the charity partner