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CBSbutler Holdings Limited trading as CBSbutler

Data Analyst

CBSbutler Holdings Limited trading as CBSbutler London
32 - 40 hour


Show Recently closed jobs

    CBSbutler Holdings Limited trading as CBSbutler

    Data Analyst

    CBSbutler Holdings Limited trading as CBSbutler London
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Hours
    32 to 40 hours per week
    Employment type
    contract

    Job description

    We're looking for a Staffing Data Analyst to join a high-performing analytics team within a global technology and entertainment organisation. This is a hybrid working role from the company's London offices.

    This is an experienced individual contributor role for someone who enjoys working with ambiguous problems, exploring data, developing hypotheses and turning analysis into actionable business decisions.

    You will work across multiple teams, partnering with Analytics, Data Science and Product stakeholders to identify opportunities, shape analytical initiatives and influence how problems are approached.

    Responsibilities include:

    Lead exploratory analysis across complex, cross-functional business problems
    Identify patterns, opportunities and hypotheses that can drive business decisions
    Develop analytical prototypes and models to test ideas and assess potential impact
    Translate complex analysis into clear, actionable recommendations for stakeholders
    Partner with Data Scientists and Product Managers to move ideas from exploration into experimentation and modelling
    Help establish best practices for exploratory analytics and hypothesis development
    Develop reusable analytical approaches and mentor other analysts
    Use AI-enabled tools, including generative and agentic AI, to improve analytical workflows and accelerate insight generation

    What we're looking for:

    Extensive experience in data analytics, applied analytics, data science or a related field
    Advanced SQL, Python, R or similar skills
    Strong experience in exploratory analysis, hypothesis development and data-driven decision making
    Experience working across multiple teams and influencing senior stakeholders
    The ability to turn complex data into clear, commercially relevant insight
    Experience with A/B testing, experimentation, causal inference, forecasting or scenario modelling
    An understanding of data science workflows and experimentation
    Experience mentoring analysts or improving analytical practices
    An interest in applying AI and emerging technologies to analytics

    This is a fantastic opportunity to work at significant scale in a leading well known organisation, tackling complex business problems and helping shape how analytics is used across the organisation
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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