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    Business Intelligence Engineer - Bengaluru, India - Eureka Forbes Ltd

    Eureka Forbes Ltd
    Eureka Forbes Ltd Bengaluru, India

    3 weeks ago

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    Description

    In this role, you will design and build robust data products required to support various data science and insights initiatives.

    As a Business Intelligence Engineer, you will partner with data scientists, product managers and business leaders across the org to ensure that they have clean and accurate data/ insights through easy-to-use systems for implementing high-quality and timely decisions.

    Key Responsibilities in this role would include the below -Collect, evaluate, and present actionable data and recommendations to drive marketing, business development and product management decisions at a senior level
    Own, build and automate generation of business metrics using Power BI/ Tableau.
    Examine and solve problems at their root, stepping back to understand the broader context.
    Recognize and adopt best practices in data investigation and reporting: data integrity, test design, analysis, validation, and self-service automation.
    Write high quality code to retrieve and review data. Learn and understand a broad range of EFL's data resources.
    Design, develop, and implement scalable, automated infrastructure for data extraction, processing, computation, and delivery.

    What you need to succeed in the role:5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
    Team leading and strong stakeholder management experience
    Experience in scripting for automation (e.g. Python) and advanced SQL skills.
    Experience with data visualization using Power BI, Tableau, Quicksight, or similar tools
    Experience with data modeling, warehousing and building ETL pipelines
    Experience programming to extract, transform and clean large (multi-TB) data sets
    Experience developing products on AWS or Google Cloud Services.
    Experience working directly with business stakeholders to translate between data and business needs
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