Senior Data Analyst - United Kingdom - Kindred Group plc

    Kindred Group plc
    Kindred Group plc United Kingdom

    Found in: Jooble UK O C2 - 1 week ago

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    Description

    The role

    Legal & Compliance Analytics is part of a wider Analytics team with 70+ analysts and engineers. We are looking to recruit a data analyst who will help ensure that our customers are playing sustainably and in a safe environment. Legal and Compliance Analytics supports insight driven decisions across Player Sustainability initiatives, detecting early signs of problematic gambling and optimising the effectiveness of our responsible gambling tools and processes.

    What you will do
    • Undertake ad-hoc data analysis requests, dealing with various aspects of customer behaviours (sportsbook betting, casino games, interactions with Customer Support) and
    • Kindred's operations (Player Sustainability and Player Risk)
    • Lead complex analyses for stakeholders; manage and deliver full-cycle descriptive, diagnostic and predictive analytics projects
    • Analyse large datasets to understand trends and present conclusions to stakeholders seeking answers
    • Analyse impact of proposed policy and procedural changes
    • Reconcile data when data integrity issues are found
    • Constantly communicate with stakeholders to understand their business problems and identify ways of analysing data to drive operational improvements.
    • Constantly improve on your technical and soft skills
    • Provide guidance and support to other analysts
    Your experience:
    • Excellent working knowledge of R, Python or similar.
    • Practical experience of completing data projects using SQL, R or Python in an industry setting; at least 3-4 years' experience of working in analytical role
    • Experience exploring and analysing structured and unstructured data; presenting findings with effective data visualisation
    • Experience designing and engineering metrics, KPIs or scorecards
    • Knowledge of statistical modelling techniques such as logistic regression, clustering, linear regression, decision trees etc is a plus.
    • Gathering and establishing requirements from non-technical audiences and presenting complex information in an accurate and persuasive manner to stakeholders
    • Knowledge of Fraud Prevention, Anti-Money Laundering or Responsible Gambling is not necessary but advantageous.
    • Degree preferred in Mathematics, Statistics, Computer Science, Economics or other Science related disciplines
    Additional Qualities
    • Inquisitive, resilient, and reliable
    • Strong analytical and problem-solving skills
    • Detail-oriented and self-disciplined
    • Experience working independently and as a member of a cross-functional team
    • Ability to anticipate work needs, to identify issues proactively and to recommend solutions

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