• INTL - Data Analytics Engineer - LATAM

    Insight Global (Cary, NC)


    Job Description

    Insight Global's client within the Corporate Analytics team is seeking a motivated and versatile Data Analytics Engineer to help build and maintain robust financial reporting pipelines. This role blends data engineering and analytics to deliver actionable insights across a global gaming ecosystem. You’ll collaborate with finance, insights, and revenue teams, leveraging cutting-edge tools to support decision-making and optimize financial operations.

     

    What You’ll Do

     

    - Collaborate with data engineers, analysts, and integration specialists to design and implement end-to-end financial reporting pipelines.

     

    - Partner with finance stakeholders to build analytics systems that capture revenue, tax, and payment data for internationally popular game titles and partner products.

     

    - Work closely with e-commerce engineers and application developers to provide scalable tools for understanding transaction volumes across Online Services.

     

    - Focus on global revenue reporting platform, integrating data from Microsoft, PlayStation, Nintendo, and PC storefronts.

     

    - Develop and maintain dashboards and reports using Tableau to visualize tax, transactional, and e-commerce data.

     

    - Work with central data engineering teams to capture, store, and automate delivery of financial event data using Databricks, Snowflake, and AWS.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    - 3+ years of cross-functional experience in data engineering and analytics.

     

    - Proficiency in Apache Airflow and Databricks for managing data pipelines.

     

    - Proficiency in API protocols including REST and GraphQL

     

    - Strong command of analytical and development languages such as SQL, Python, Pyspark, or C#.

     

    - Experience with cloud platforms like AWS (Lambda is a plus), Azure, or GCP.

     

    - Experienced in Version Control and CI/CD using GitHub or similar tools

     

    - Excellent English communication and interpersonal skills.

     

    - Demonstrated ability to work with diverse technologies and a passion for owning dashboards, event pipelines, and warehousing solutions. - MS/MA degree in Finance, Computer Science, Mathematics, or a related field.

     

    - Experience with predictive analytics, including regression analysis, classification, or machine learning techniques.

     

    - Proven track record in debugging and CI/CD pipeline management.

     

    - 1+ years of experience optimizing data at scale using Databricks, Snowflake, Hadoop, EMR, Kafka, or similar technologies.