Data Analyst - Chennai, India - Movate

    Movate
    Movate Chennai, India

    1 week ago

    Default job background
    Description

    Experience:
    4 to 6 YearsLocation

    :
    Chennai, Bangalore, HyderabadMode

    :
    WFO (5 days) in MovateShift

    : 2 PM TO 11 PMPrimary

    Skill:
    Data Analysis, SQL, Tableau, Looker, Python and ML

    Mode of Interview – Teams VideoL1 interview (Before interview please inform the candidates to install the necessary software as they will be doing coding in Typescript or Javascript- even online compiler will do)L2 Interview :
    with Client

    JDResponsibilities
    • Work with technical program managers to inject data into decision making and planning to increaseconfidence in strategic business outcomes via defining OKRs, designing and building insight generatingreports and dashboards, and partnering cross functionally to source and process product data.
    • Leverage SQL programming skills and data visualization tools to communicate product insights andrecommendations to stakeholders at all levels. Standardize, maintain, and document metrics, models,datasets, and dashboards leveraging tools such as Looker, Tableau, Confluence, Acryl, and code.
    • Source, identify, and leverage data and insights for time-critical and strategic decision making.
    • Partner with leaders to successfully roll out and enable the adoption of dashboards and metrics.
    • Work closely with product leadership to monitor and improve product performance while collaborating withbusiness leaders to drive exceptional product offerings. Measure and analyze product value and valueproposition through metrics.
    • Collaborate with data producers and consumers during the product development lifecycle to ensureconsistent data quality and availability for reporting post launch.
    • Own and foster stakeholder partnerships by acting as a trusted advisor.
    Required
    • 2+ years of professional experience performing quantitative analysis, building dashboards and reports,working with business partners to convert ambiguous, messy data into tangible and actionable results thatinfluence product and business impacting decisions in a fast paced industry.
    • Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an oftenambiguous environment.
    • Excellent verbal and written communication skills.
    • Intermediate level experience writing, developing, and performing QA in SQL and SQL-like relational datalanguages (2+ years on a regular basis). Experience with unstructured data is a plus.
    • Experience with modern data visualization tools. Tableau and Looker (LookML) is preferred.
    • Demonstrated ability in building reports, metrics, dashboards, etc. for analytics projects that often requiredata preparation processes such as data extraction, cleansing, mapping, loading and operationalizingworkflows in production.
    • Experience in telephony, email, messaging, social media, or other electronic communications is a plus.
    • Experience in fraud / abuse prevention, carrier/regulatory compliance, KYC, user vetting, traffic analysisand related investigations are a plus.
    • Experience or familiarity with data warehousing and/or ETL processes, and distributed computingtechnologies (Hive/Presto/Spark/Zeppelin) is a plus.
    • Experience in python (e.
    g. pandas, numpy, scikit-learn) or R for data manipulation and analysis, includingpredictive analytics, regression, hypothesis testing, and causal analysis is a plus.