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    Data Analyst - Chennai, India - Movate

    Movate
    Movate Chennai, India

    Found in: Appcast Linkedin IN C2 - 12 hours ago

    Default job background
    Technology / Internet
    Description

    Experience: 4 to 6 Years

    Location: Chennai, Bangalore, Hyderabad

    Mode: WFO (5 days) in Movate

    Shift: 2 PM TO 11 PM

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

    Mode of Interview – Teams Video

    L1 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

    JD

    Responsibilities

    ● Work with technical program managers to inject data into decision making and planning to increase

    confidence in strategic business outcomes via defining OKRs, designing and building insight generating

    reports and dashboards, and partnering cross functionally to source and process product data.

    ● Leverage SQL programming skills and data visualization tools to communicate product insights and

    recommendations 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 with

    business leaders to drive exceptional product offerings. Measure and analyze product value and value

    proposition through metrics.

    ● Collaborate with data producers and consumers during the product development lifecycle to ensure

    consistent 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 that

    influence 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 often

    ambiguous environment.

    ● Excellent verbal and written communication skills.

    ● Intermediate level experience writing, developing, and performing QA in SQL and SQL-like relational data

    languages (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 require

    data preparation processes such as data extraction, cleansing, mapping, loading and operationalizing

    workflows 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 analysis

    and related investigations are a plus.

    ● Experience or familiarity with data warehousing and/or ETL processes, and distributed computing

    technologies (Hive/Presto/Spark/Zeppelin) is a plus.

    ● Experience in python (e.g. pandas, numpy, scikit-learn) or R for data manipulation and analysis, including

    predictive analytics, regression, hypothesis testing, and causal analysis is a plus.

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