Data Analyst - Bengaluru, India - Notus

    Notus
    Notus Bengaluru, India

    Found in: Talent IN 2A C2 - 1 week ago

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    Description
    Work timings : 7 PM IST till 3:30 AM IST


    CANDIDATE WILL BE ON NOTUS PAYROLL
    Role :
    Sr. Data Analyst


    FOCUS FOR THESE SKILLS :

    - MYSQL

    - SNOWFLAKE

    - COMPLEX QUERIES/ADVANCED SQL

    Qualifications :

    • 6+ years of proven work experience as a data analyst or business data analyst in a professional fastpaced environment outside of Bootcamp or internship
    • Strong analytical skills with the ability to collect, organize and analyze significant amounts of data with attention to detail and accuracy.
    • Knowledge of statistics and experience using statistical packages such as Python, R, Excel, SPSS, SAS, etc. for analyzing datasets
    • Expertise in SQL and indepth knowledge of common RDBMS systems such as MySQL, SQL Server, PostgreSQL
    • Excellent communication and interpersonal skills
    • Expertise in designing and developing tables, views, stored procedures in Snowflake.
    • Experience with developing data pipeline to load & transform data between Bronze, Silver and Gold data layers.
    • Knowledge of: SQL, MS Excel, Snowflake, and RDBMS Concepts
    Responsibilities :

    • The ideal candidate will be responsible for analysis of large datasets in a complex data environment
    • They will additionally be fulfilling adhoc data requests within tight deadlines and are preferably comfortable working with financial and marketing data
    • They will report to the Data Team and work in a crossfunctional capacity supporting all internal departments, including, but not limited to Marketing, Product, Business Development, Tech & Operations
    • Create, maintain, and improve upon new and existing ETL data pipelines.
    • Fulfill adhoc requests and communicate results to stakeholders and related teams
    • Liaise between multiple departments to develop reports relating to marketing, finance, product performance, and consumer behavior across all products
    • Validate and own accuracy and integrity of data results
    )