Data Analyst - Jakarta - Massive Music Entertainment

    Massive Music Entertainment
    Massive Music Entertainment Jakarta

    2 hari yang lalu

    Rp90.000.000 - Rp200.000.000 (IDR) per tahun *
    Deskripsi

    About The Role

    Our Data Team is looking for a
    Data Analyst
    to help us build a data foundation that the business can actually trust and use.

    We're a music publishing company under 50 people. Our data volume isn't huge (yet) — but the complexity is very real:
    royalty statements, split sheets, ISRC mapping, catalog metadata
    , and sources that don't always agree with each other.

    So we're not hiring someone to "manage petabytes."

    We're hiring a
    Data Swiss Army Knife
    : a pragmatic generalist who enjoys turning messy inputs into clean structure, and turning that structure into dashboards that deliver the "Aha" moment.

    Reporting to the
    Data Lead
    , you'll sit right in the middle of
    data engineering x business analytics
    — building the backbone first, then turning it into insights that help teams move faster and smarter.

    Your Roadmap:

    Phase 1: Building the Foundation (The First 3–6 Months)
    You won't be spending all day in BI tools right away. Your first mandate is to get our house in order.

    • Warehouse Design:
      Architect and build pragmatic, scalable data models (e.g., Star Schema). You will create the foundational data warehouse that our entire business will scale on.
    • Data Wrangling:
      Ingest and clean messy, fragmented data from various music industry sources (Spotify, Apple, ASCAP, BMI) to establish a reliable single source of truth.
    • Pipeline Management:
      Set up the core ETL/ELT pipelines. You know when to build something robust and automated, and when a scrappy solution is enough for now.

    Phase 2: Insights, Ad-Hoc & BI (Month 6 and Beyond)
    Once the foundation is solid, your focus shifts to the front-end business value.

    • BI & Dashboarding:
      Design, build, and maintain intuitive dashboards ([Insert BI Tool]). You'll turn the tables you built into actionable insights for users who aren't highly technical.
    • Ad-Hoc Analysis:
      Dive into the weeds of our catalog and royalty data to answer pressing, complex questions from our A&R, finance, and licensing teams.
    • Data Evangelism:
      Train business users on how to self-serve data and trust the metrics you've built.

    What We're Looking For:

    • SQL :
      You write clean, optimized, and readable queries.
    • Architectural Mindset:
      You understand the basics of dimensional modeling (e.g., Star Schema) and how to build a data warehouse from the ground up, even on a small scale.
    • BI Expertise:
      Proven experience with visualization tools (e.g., Tableau, Metabase, Looker Studio, PowerBI) and a strong sense of UX for business users.
    • Pragmatism over Perfection:
      You know when to build a robust, automated pipeline and when a scrappy, quick ad-hoc pull is what the business actually needs right now.
    • Industry Bonus:
      Experience or deep interest in the music industry, specifically publishing, royalties, and catalog management. (If you know what an ISRC or a mechanical right is, you go to the top of the pile).

    Requirements

    Must Have

    • 2–3 years experience in Data Analyst / Analytics Engineer / BI role
    • Strong
      SQL
      (mandatory)
    • Experience working with
      BigQuery or other cloud data warehouses
    • Experience building dashboards for business users
    • Familiar with
      dbt or structured data transformation practices
    • Basic to intermediate
      Python
      for data processing
    • Comfortable working independently in a small team
    • Strong problem-solving and communication skills

    Nice to Have

    • Experience in media, music, or digital platform analytics
    • Understanding of dimensional modeling (star schema)
    * Kisaran gaji ini adalah perkiraan yang dibuat oleh beBee
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