Data Analyst

GUE Ecosystem


Tanggal: 8 jam yang lalu
Kota: Pekerjaan jarak jauh, Pekerjaan jarak jauh
Jenis kontrak: Penuh waktu
Jarak jauh
Deskripsi Pekerjaan

  • Data Extraction & Manipulation: Write complex, efficient, and well-optimized SQL queries to extract data across various relational/analytical databases and tables.
  • Dashboards & Visualization: Design, build, and maintain interactive, high-impact dashboards using modern BI and visualization tools (such as Metabase, Google Looker, Redash, or Apache superset).
  • Business Insights & Ad-hoc Analysis: Analyze business trends, core KPIs, and anomalies to support data-driven decision-making for cross-functional stakeholders.
  • Technical Documentation: Create and maintain comprehensive data dictionaries, business logic mappings, query pipelines, and dashboard changelogs.
  • Collaboration & Adaptability: Work closely with Data Engineers and business teams, adapting smoothly to shifting business priorities and evolving data requirements.

Syarat Pekerjaan

  • Experience: 1–3 years of hands-on experience in a Data Analyst role or equivalent.
  • SQL Proficiency (Required): Strong command of advanced SQL, including complex joins, CTEs, window functions, and query optimization.
  • Analytical & Problem-Solving Skills: Strong logical and analytical thinking, with the ability to independently formulate queries, troubleshoot issues, and solve data-related problems.
  • Visualization Tools: Hands-on experience with at least one BI tool, such as Metabase, Qlik Sense/QlikView, Tableau, or Power BI.
  • Technical Documentation: Ability to document data processes, definitions, business logic, and reporting pipelines clearly.
  • Business Acumen & Adaptability: Ability to quickly understand business processes and translate business requirements into analytical solutions.

Nice to Have

  • Knowledge of Python (Pandas, NumPy) for data manipulation and report automation.
  • Experience working with relational or analytical databases such as PostgreSQL, ClickHouse, or Oracle.
  • Basic understanding of data modeling concepts and ETL/ELT data pipelines.

Tentang

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Daftar Sekarang

Companies

  • PT GUE

Teams

  • Tech Data

Levels

  • Mid-Senior Level

Cara melamar

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