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Data Engineer

    Data Engineer - sany, India - Randstad India

    Randstad India
    Randstad India sany, India

    3 weeks ago

    Default job background
    Description
    Years of exp: 5 to 7years
    CTc Range: 11 to 12LPA
    Database knowledge datamanagement person who can do parting and cleansing ofdata
    4 to 5 years in Advanced levelof SQL complex Tableau manipulation different logics andcombination
    Knowledge of Pyspark willbe a plus
    Work of mode:
    The hybridmodel is fine

    Work timing:
    Thecandidate needs to be flexible in work timings. It is a generalshift but candidates should be flexible in supporting when it isrequired.


    Location:
    Bangalore


    Qualifications:

    Bachelors degree inData Science Statistics Computer Science or a relatedfield.
    Proven experience in data analysis preferably ina tech or communityfocused environment.
    Excellent skillsin Excel including complex formulas pivot tables and datamanipulation.
    Strong knowledge of SQL for data queryingand analysis.
    Proficiency in Tableau for creating andmaintaining dashboards.
    Analytical mindset withattention to detail and accuracy.
    Excellentcommunication skills both written and verbal with the ability topresent complex data in an understandable format.
    Ability to work independently and as part of a team in a fastpacedenvironment.

    KeyResponsibilities:

    Develop and maintaincomprehensive data reports to track key metrics and trends relatedto community engagement and user behavior.
    Design buildand manage Tableau dashboards ensuring they are userfriendly andupdated regularly with accurate data.
    Monitor platformanalytics regularly to identify any unusual patterns orirregularities conducting indepth analyses to understand underlyingcauses.
    Collaborate with crossfunctional teams includingproduct management and marketing to understand data needs anddeliver actionable insights.
    Ensure data accuracy andintegrity by implementing robust data validation and qualitycontrol measures.
    Stay current with industry trends andbest practices in analytics and data visualization.

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