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    Data Analyst

    BettingJobs is working with an iGaming company based in San Jose, Costa Rica who are seeking a Data Analyst to join their team. As a Data Analyst, you will use your technical expertise to support the organisation through the delivery of insightful analytics that facilitate improved KPI performance and more effective decision-making.

    The Data Analyst role would be well suited to an individual with excellent coding skills who is looking to progress their career in Data Analytics.


    • Utilize data to make actionable recommendations at all levels.
    • Help identify the business data needed to produce the most useful insights and future analytics.
    • Communicate insights and recommendations effectively to the broader team.
    • Prepare analytical reports regarding the operations on a weekly/monthly basis and as requested.
    • Track, report and analyze customer sentiment from all relevant sources and partner with teams cross-functionally to support improvements in the areas identified as most impacting the customer experience.
    • Determines measures, baselines, tolerances, and normal variability for KPIs. Able to articulate these concepts and parameters for data presented.
    • Recommend and design local testing efforts within the business focused on improving KPI performance, ensuring that the relevant framework is in place for effective analysis of the test data.
    • Support the KPI target-setting process to ensure they are effectively aligned with achieving the businesses’ overall objectives.
    • Provides consultative support and training on interpreting data and using reporting tools.
    • Recommend and participate in process improvement initiatives.
    • Process ad-hoc requests for data that is not readily available in existing reports.
    • Contribute to data dictionary, standards, training, and ongoing updates.


    • Bachelor’s degree in Mathematics, Computer Science, or Business-related field with a concentration in statistics.
    • Experience in coding is essential, knowledge of SQL, Python or R.
    • Skills in analysing and interpreting numerical data, and in reasoning and problem solving through mathematical processes.
    • Strong critical thinking skills and attention to detail.
    • Be proficient in the use of spreadsheets, databases, and other applications of technology.
    • Adept communicator with strong service orientation skills and a genuine commitment to excellence.
    • Business and tech-savvy with the ability to see both the “big picture” and the minute details.
    • Has an enthusiasm for translating data into actionable insight relevant to the company’s objectives.
    • Keen attention to detail and time management to deliver high-quality work for multiple projects across several client engagements while meeting deadlines.


    Mia Dunnington

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