Data Analyst

Igbaffiliate; Greater London; Hybrid; GBP 45,000 - 60,000; Full time

Benefits offered by this job

Private medical insurance

Parental leave

Mental health support

Pension scheme

25 days of holiday per year

Job summary

A global media and technology company is seeking a Data Analyst to drive insight generation and support decision-making through rigorous analysis. The ideal candidate will possess strong SQL and Python skills, and experience with data visualization tools. This hybrid role, based near Southbank in London, offers a comprehensive benefits package including private medical insurance, pension schemes, and generous holidays. Join us to advocate for a data-driven culture and make impactful contributions to our teams.

Qualifications

• Strong SQL skills with the ability to query and manipulate complex datasets.
• Proficient in Python for data analysis and automation.
• Experience with large datasets across multiple sources.

Responsibilities

• Generate insights by identifying trends in customer behavior.
• Collaborate with teams to influence strategic decisions.
• Translate data into clear narratives for stakeholders.

Skills

SQL

Python (pandas, numpy)

Data visualization (Looker Studio)

Product analytics tools (Google Analytics, Amplitude, Mixpanel)

Communication skills

Education

Background in Mathematics, Statistics, Data Science, or related discipline

Job description

Data Analyst - Description Spotlight Sports Group is a global media and technology company specialising in content and data within sports betting, horse racing and fantasy sports.

With over 400 employees, the group operates multiple award-winning brands, including Racing Post, the world’s largest horse racing affiliate, Pickswise, myracing and Free Super Tips. We partner with leading operators across the betting industry to produce and build multilingual, best-in-class digital products and content to engage and educate customers. This Data Analyst role sits within the Data Intelligence Unit (DIU) and is focused on insight generation, analytical problem‑solving, and decision support, not just reporting. The role is responsible for improving the organisation’s understanding of customers, behaviours, and performance drivers by moving beyond surface‑level trends to explain underlying causes, quantify impact, and support evidence‑based decision‑making across Content, Commercial, CRM, Product, and Leadership teams. This role is particularly well suited to an analyst who enjoys working with complex behavioural data, thrives in ambiguous problem spaces, and wants to influence strategy through rigorous analysis. An interest in sport and betting markets is helpful for context, but analytical curiosity and critical thinking are essential. This role is a hybrid role based in our Central London Office near Southbank 3 days a week, with 2 days from home.

Key accountabilities:

Insight Generation: Go beyond BAU reporting to proactively identify trends, patterns, and opportunities in customer behaviour, lifecycle progression, segmentation, and product engagement, linking insight to commercial and strategic outcomes.

Stakeholder Collaboration: Work closely with squads, product teams, and leadership to understand challenges, shape hypotheses, and deliver insights that influence strategic decisions.

Data Storytelling: Translate complex datasets and analysis into clear, compelling narratives that drive action, ensuring insights are accessible and meaningful for stakeholders with varying levels of data fluency.

Impact Measurement: Develop and implement robust measurement frameworks, including test‑and‑learn approaches, to evaluate the success of business changes and ensure decisions are evidence‑based and continuously refined.

Championing a Data‑Driven Culture: Advocate for data as a strategic asset, challenging assumptions and embedding insight‑led decision‑making across Content, Product, CRM, and Commercial teams.

Automation for Efficiency: Streamline and automate recurring reporting and analysis, maximising time spent on high‑value insight generation rather than manual data preparation.

Requirements

Strong SQL skills, with the ability to query, join, and manipulate large and complex datasets.

Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy).

Ability to understand new datasets quickly and extract meaningful insights.

Experience working with large, complex datasets across multiple sources.

Proficiency in data visualisation tools (Looker Studio), with a focus on creating actionable insights rather than static reporting.

Hands‑on experience with product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel).

Ability to work independently, defining topics for analysis and driving them to completion.

Strong communication skills, with the confidence to present findings and challenge assumptions.

Background in Mathematics, Statistics, Data Science, or a related quantitative discipline.

We offer a range of well‑being initiatives, including private medical insurance, excellent parental leave, a working globally policy, mental health support, assistance programs, and social gatherings. We also provide a pension scheme and various other benefit schemes. Plus, we all get our birthdays off work and enjoy 25 days of holiday per year.

We’ve also got you covered with life assurance and exclusive perks like the Star card and our Step Further Awards (our employee recognition program) to recognise your dedication. For those working via the hybrid model (in the office and at home) we’ve made commuting easier with our Season Ticket Loan and Cycle to Work Scheme.

You can also take advantage of complimentary access to our Racing Post Members Club, complete with an Ultimate Membership. We believe in making a positive impact beyond the workplace, and you’ll have the chance to volunteer two days per year with our charity partner.