Data Analyst - Gurugram, India - Truelancer

    Truelancer
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    Human Resources
    Description

    About Truelancer Enterprise:

    Truelancer Enterprise is a premier Gig Talent platform that connects large enterprise clients with highly skilled and vetted software developers. Our network ensures top-tier professionals, providing unmatched expertise to tackle any project. With Truelancer Enterprise, businesses gain access to a pool of exceptional talents, fostering innovation, and achieving success. Trust, efficiency, and excellence define our commitment to empowering enterprises with the best tech solutions, making us the ultimate destination for hiring top-notch software developers.

    About the Client:

    Our client is a global leader in next-generation digital services and consulting. Enabling clients in 45 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises.

    Job Title: Data Analyst

    Experience: 1 to 3 years

    Education: M.Tech, BCA, B.Tech, MCA,

    Mandatory Skill: Data analytics, MS SQL,

    Preferred Skill: Data Migration

    Location: Gurgaon (WFO)

    Job Description:

    We are seeking a highly skilled Data Analyst with strong expertise in SQL to join our dynamic team as a Data Analyst, you will play a crucial role in extracting, analysing, and interpreting large datasets to drive informed decision-making and business strategies

    Responsibilities:

    • Develop and maintain SQL queries for data extraction, transformation, and loading (ETL) processes
    • Perform data cleansing, validation, and quality assurance to ensure the accuracy and integrity of datasets
    • Analyze complex datasets to identify trends, patterns, and insights relevant to business objectives
    • Generate reports, dashboards, and visualizations to communicate findings to stakeholders
    • Collaborate with cross-functional teams to understand data requirements and provide analytical support for various projects
    • Continuously monitor data processes and implement improvements to optimize efficiency and performance