Data analyst in revenue protection

GamblingCareers.com; Greater London; Presencial; GBP 45.000 - 70.000; Tempo integral

Benefícios oferecidos por esta vaga

Гибкий график

Возможности онлайн-обучения

Программы благополучия (wellbeing)

Командные мероприятия

Resumo da vaga

Компания Sportradar ищет специалиста по Revenue Protection для анализа клиентских данных и выявления аномалий в ставках. Ваша задача — сравнивать клиентов с коллегами и историей, обосновывать выводы и оценивать влияние нарушений на доходы.

Будет важно развитие инструментов анализа, включая AI, и формирование кратких заключений для Sales, Legal и руководства. Требуется минимум 2 года опыта в анализе данных, продвинутые навыки Excel и SQL, плюс знание Python и Power BI.

Qualificações

• Опыт 2+ года в роли, основанной на данных.
• Предпочтителен опыт в ставках/спортивных данных; приветствуется опыт в мошенничестве/рисках.
• Доказуемый умение выявлять нарушения через анализ данных и приводить количественные выводы.
• Сильные навыки Excel, включая сводные таблицы, LOOKUP/"VLOOKUP", очистку и согласование больших наборов данных.

Responsabilidades

• Анализ данных клиентов по ставкам для выявления аномалий и изменений поведения.
• Сопоставление клиентов с коллегами и их историей для различения сезонных/рыночных эффектов.
• Оценка влияния нарушения на выручку и обоснование выводов.
• Письменные, краткие выводы для продаж, юридического отдела и руководства.
• Разработка и улучшение инструментов проверки, включая применение AI.
• Роддержка дела до разрешения и измерение эффекта после исправления.

Conhecimentos

Аналитика данных

Excel

SQL

Python

Power BI

Коммуникационные навыки

Ferramentas

Power BI

AI-инструменты

Descrição da vaga

Описание:

Sportradar supplies betting operators around the world with odds and trading services. Our clients share a portion of the revenue generated from bets placed through our services and, as part of their contract with Sportradar, are required to report all relevant betting activity to us. Revenue Protection Team makes sure this activity is reported accurately and in line with those contractual obligations.

Задачи:

Analyse client betting data to spot anomalies and changes in behaviour. Compare clients against their peers and against their own history to tell a real problem from a seasonal or market effect. Build the evidence behind each finding so that it stands up to challenge. Estimate the revenue impact of an infringement using a clear and defensible method. Write short, precise findings for non-technical stakeholders in Sales, Legal and management. Build and improve the tools the team uses for recurring checks, including AI assisted ones. Follow a case through to resolution and measure the uplift afterwards.

Требования:

• 2+ years of experience in a data-led investigative role.
• Experience in betting or sports data is preferred, but we also welcome strong backgrounds in fraud, risk, financial crime, payments, revenue assurance, trading risk, integrity or similar areas.
• Proven ability to uncover wrongdoing, non-compliance or revenue leakage through data analysis, from the first signal to an evidenced and quantified conclusion.
• Strong Excel skills, including pivot tables, lookups, cleaning and reconciling large datasets, and building calculations that others can review and validate.
• Your Excel skills will be assessed as part of the interview process.
• Working knowledge of SQL, with the ability to pull, filter and aggregate data from large tables independently.
• Clear and concise writing skills, with the ability to explain complex findings to people who may not know the underlying data.
• Curiosity and persistence, with the drive to keep digging until the explanation holds.
• An interest in using and building tools, including AI, to work more effectively, applying them alongside your own knowledge, skills and informed judgement rather than as a substitute for them.
• Будет плюсом: Python for data analysis; Power BI or a similar tool; Experience writing to or dealing with external clients on contractual matters

Условия:

• A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding.
• Flexibility to manage your workday and tasks with autonomy.
• A balance of structure and autonomy to tackle your daily tasks.
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
• Global Employee Assistance Programme.
• Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).
• Online training videos.
• Flexible working hours.
• While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation-both as individuals and as a company.
• The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture.
• For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.
• Please note that we are not able to offer visa sponsorship for this role, so you would need to have the appropriate right to work in place.