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Senior Data Analyst

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: Midnite
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 65000 - 85000 GBP Yearly GBP 65000.00 85000.00 YEAR
Job Description & How to Apply Below

What will you do?

We’re looking for a Senior Data Analyst with a strong marketing analytics background who thrives in a fast-paced start-up environment. This role requires a highly analytical, detail-oriented individual and capable of turning complex data into actionable business insights.

This is a strategic position responsible for ensuring that the marketing team delivers measurable business outcomes. This role focuses on designing and implementing frameworks to evaluate and optimise marketing strategies, driving efficiencies, and maximising return on investment (ROI). The ideal candidate combines analytical expertise with a deep understanding of marketing channels and business strategy to shape a data-driven culture within the marketing team.

As a key analytical partner, you will be responsible for deep-dive analysis, A / B testing, and performance measurement, ensuring that the company makes data-driven decisions at every level.

Location :
Remote, must be UK-based

Salary : £65,000 - £85,000

Why Midnite?

Midnite is a next-generation betting platform that is built for today’s fandom. We are a collective of engineers and designers who all share a passion for building the best sports book & casino experience possible, allowing our fans to feel closer to the games they love through the rush of winning money.

Unlike the alternatives, Midnite doesn't feel like a website built two decades ago. Instead, it’s a cutting-edge creation, designed and constructed from the ground up with the latest technologies. Crafting an experience that's truly intuitive, immersive, and immediately understandable is no walk in the park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome.

Responsibilities
  • Analyse marketing performance, leveraging predictive modelling and statistical analyses to forecast strategy impact and identifying insights that reduce costs, improve conversion rates, and optimise spend.
  • Develop advanced analytical frameworks to measure CAC, LTV, ROAS, churn, and other key marketing metrics; place incrementality measurement at the heart of marketing effectiveness
  • Evaluate and optimise the effectiveness of marketing and CRM campaigns, aligning performance measurement with business objectives and revenue goals.
  • Build interactive dashboards and reporting tools to enable stakeholders to make data-driven decisions.
  • Design and execute A / B tests and experiments, ensuring statistical rigour in performance analysis.
  • Partner with the Marketing team to optimise business strategies through data.
  • Lead post-campaign analysis, pre-campaign planning, and audience profiling to maximise marketing effectiveness.
  • Work on multi-touch attribution (MTA) and marketing mix modelling (MMM) to analyse and optimise marketing spend.

    Act as the point of contact for reporting requests.
Essential Experience
  • 5+ years of experience in data analysis, ideally in start-ups or small companies – we are not looking for candidates with purely large corporate backgrounds.
  • Proven track record of making measurable business impacts, such as reducing costs, improving conversion rates, or optimising marketing spend.
  • Strong marketing and growth analytics expertise, deep knowledge of CAC, LTV, ROAS, churn, and similar metrics.
  • Advanced SQL skills, with experience in data transformation and query optimisation.
  • Experience with Business Intelligence tools (Looker strongly preferred, but not essential).
  • Advanced Excel knowledge, with proficiency in complex data manipulation.
  • Strong communication skills, with the ability to work cross-functionally and present insights to non-technical stakeholders.
  • Deep understanding of analytics best practices, experimental design, and statistical significance in A / B testing.
  • Exceptional attention to detail and a quality-focused approach.
Nice to Haves
  • Experience in the gaming industry.
  • Experience working with dbt for data modelling and transformation.
  • Basic knowledge of Python and Git.
  • Experience with causal attribution methods, including Multi-Touch Attribution (MTA) and Marketing Mix Modeling (MMM).
What’s in it for you :
  • Shape our future :
    Play a key role in our team's success, where your voice…
Position Requirements
10+ Years work experience
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