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    Job · 12743204

    Qure.ai logo

    Data Insights Engineer

    Qure.ai · Bengaluru · onsite · Posted 63d ago

    Not disclosed3–5 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Key Responsibilities:

    • Develop, optimize, and maintain ETL pipelines to ensure efficient and reliable data flow.
    • Manage and enhance BI tools such as Metabase for secure and effective reporting.
    • Build and maintain dashboards, reports, and data models to provide real-time insights to business teams.
    • Analyze user behavior and product metrics using Mixpanel or similar tools to generate actionable insights.
    • Ensure data quality, governance, and security across analytics systems.
    • Collaborate with cross-functional teams to understand data needs and deliver impactful solutions.
    • Continuously identify opportunities to improve analytics workflows, tools, and processes.

    Required Skills & Qualifications:

    • 3+ years of experience in data engineering, analytics, or BI-focused roles.
    • Strong proficiency in SQL and NoSQL databases.
    • Experience with BI tools such as Metabase, Mixpanel, or equivalents.
    • Proficiency in Python and experience with ETL frameworks.
    • Solid understanding of data modeling, business intelligence, and analytics best practices.
    • Strong problem-solving skills and ability to communicate complex data insights clearly to non-technical stakeholders.

    Preferred Skills:

    • Experience in healthcare analytics or healthcare data systems.
    • Knowledge of cloud data platforms (AWS, GCP, or Azure).
    • Familiarity with data privacy and compliance requirements in regulated industries.

    Sourced from foundit

    Skills

    Cloud ComputingETL ProcessesPythonSQLData VisualizationBig DataMachine Learning

    About Qure.ai

    Qure.ai logo

    Qure.ai

    Healthcare

    11-50

    employees

    2016

    10 years old

    Mumbai,Maharashtra

    India

    About

    Qure.ai utilizes AI to improve radiology by automating image interpretation, aiming to enhance health outcomes and accessibility in healthcare.

    Industries

    Healthcare

    Employees rate it well for

    Work Culture9Senior Management8Work Life Balance6Learning4Office Politics4

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