Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Business Intelligence Analyst

Cedar
City of London
4 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Developer - Power BI Specialist

Fluent Spanish - Senior Business Intelligence Data Analyst

Fluent Spanish - Senior Business Intelligence Data Analyst

Senior Business Intelligence Developer

Business Intelligence Analyst

Senior Data Analyst

Cedar City Of London, England, United Kingdom

Senior Business Intelligence Analyst

Cedar City Of London, England, United Kingdom

This range is provided by Cedar. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Cedar

Business Intelligence (BI) Senior Analyst
Location: London (Hybrid)
Salary: Up to £60,000 per annum

Experience in the sportsbetting/gaming sector required

Our client is seeking a talented and proactive BI Senior Analyst to join their high-performing Finance Business Intelligence and Analytics team. This role offers the opportunity to play a key part in delivering a unified financial data strategy across a diverse, global business.

The team supports the full suite of financial reporting needs-from daily operational insights to statutory financial disclosures-across multiple brands and geographies. In this role, you will help shape and implement a global financial data model with an initial focus on tax, ensuring that financial metrics are defined, understood, and consistently applied across the organisation.

Key Responsibilities:

  • Design and build automated workflows to support cross-brand tax reporting, accommodating varying regulatory requirements.
  • Develop a unified analytics model aligning commercial KPIs with financial revenue reporting across multiple business units.
  • Translate financial terms into structured data definitions and ensure consistency of use across the group.
  • Drive process automation using ETL tools, promoting efficiency and alignment.
  • Provide technical mentorship and training to team members.
  • Collaborate with Finance teams to meet statutory obligations and support audit processes.
  • Convert business requirements into specifications for data modelling and reporting.
  • Lead the design and deployment of business intelligence tools and visualisation platforms.
  • Promote technology best practices and scalable analytics processes.

Key Skills & Experience:

  • Strong academic background in a relevant field.
  • Proficiency in ETL tools (e.g. Alteryx, Databricks); experience with Retool is a plus.
  • Advanced SQL skills for querying and modelling relational databases.
  • Solid understanding of financial concepts; tax reporting experience is beneficial.
  • Prior experience in KPI modelling-ideally within the iGaming or betting industry.
  • Interest in sports and betting is a bonus.
  • Proactive, professional, and capable of managing multiple priorities in a fast-paced environment.
  • Strong communication skills for cross-functional collaboration.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesGolf Courses and Country Clubs

Referrals increase your chances of interviewing at Cedar by 2x

Get notified about new Senior Business Intelligence Analyst jobs inCity Of London, England, United Kingdom.

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 day ago

Greater London, England, United Kingdom 4 days ago

City Of London, England, United Kingdom 1 week ago

Senior Data Analyst | Greenfield Trading House | Up to £110k + Bonus | London Hybrid 3x/week

London, England, United Kingdom 5 days ago

Liquidity Data & Analytics Business Analyst

London, England, United Kingdom 1 week ago

Business Intelligence & Analytics ManagerSenior Data Governance Analyst | Up to £80k + Bonus & Benefits | 1 / 2 days in office

London, England, United Kingdom 2 weeks ago

City Of London, England, United Kingdom £100,000.00-£110,000.00 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

Snr Data Analyst, Power BI | Cross-Asset Trading – Clearing & Market Making | London, Hybrid | up to £110k + Bonus, BenefitsData Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £110k + Bonus, Benefits

London, England, United Kingdom 3 months ago

Senior Data Analyst - Circularity Strategy

London, England, United Kingdom 1 day ago

Business Analyst, Seller Compliance - Data Engineering & Analytics

London, England, United Kingdom 1 day ago

Senior Data Analyst - London Market, Insurance, Contract

City Of London, England, United Kingdom 1 week ago

Business Intelligence Analyst (Salesforce, Domo)

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Front Office Data Analyst – Market Making | Power BI | Investment Management London (Hybrid – 3 days onsite) | Up to £100k + Bonus + BenefitsSenior Data Analyst - London Market, Insurance

City Of London, England, United Kingdom 1 week ago

Senior Manager, People Insights Business Intelligence Lead

City Of London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.