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    Business Intelligence Engineer - Bangalore, India - Zyoin group

    Zyoin group
    Zyoin group Bangalore, India

    1 week ago

    Default job background
    permanent Technology / Internet
    Description

    Function :
    Data Science and Analysis

    Technical Skills :
    Python, Tableau, Business Analysis, Requirements Management, SQL


    Responsibilities :

    • Gain a comprehensive understanding of business needs and objectives to drive datadriven insights and decisions.
    • Refine use cases and expertly plan iterations and deliverables, demonstrating adaptability as needed to meet evolving business requirements.
    • Estimate efforts accurately and provide regular task updates to maintain adherence to project timelines.
    • Set and manage stakeholder expectations effectively, ensuring alignment between business goals and analytical deliverables.
    • Collaborate with Business Analyst (BA) and Senior Business Analyst (SBA) resources in requirement gathering and final presentations, translating business requirements into actionable data analysis tasks.
    • Resolve blockers related to technical challenges and decisionmaking, leveraging Python, Tableau, SQL, and other relevant tools.
    • Scrutinize final deliverables for correctness and conduct code reviews in collaboration with the Manager to ensure data accuracy and reliability.
    • Orchestrate the building, maintenance, and performance monitoring of key metrics, utilizing Tableau for data visualization and reporting.
    • Take ownership of and manage data models, data sources, and the data definition repository to maintain data integrity and consistency.
    • Make crucial lowlevel design choices during project execution, optimizing data analysis processes and workflows.
    • Provide technical guidance as needed to foster a collaborative team environment, sharing best practices and innovative solutions.
    • Enhance benchmarking and decisionmaking skills at the execution level through continuous learning and knowledgesharing initiatives.
    • Conduct effective training sessions to swiftly onboard and elevate the skills of new resources in data analysis techniques and tools.
    • Lead knowledgebuilding initiatives, focusing on methodologies to position the team for complex problemsolving and advanced analytics.
    • Facilitate upstream documentation and discussions on execution challenges, process inefficiencies, and feedback loops to drive process improvements.
    • Engage in downstream and parallel communication for contextbuilding, ensuring alignment between data analysis outcomes and business objectives.
    )
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