Data Analyst

Pintarnya; Jakarta Pusat; Presencial; IDR 100 440 000 - 167 400 000; Tempo integral

Resumo da oferta

Pintarnya is seeking a hands-on Data Analyst in Jakarta to partner with Product, Marketing, and Finance, turning business questions into clear analyses and dashboards.

You will grow within the analytics team, follow SQL standards, perform peer reviews, and support investor/board reporting, using Metabase or Looker and spreadsheets to deliver high-visibility insights.

Qualificações

• 1–4 years of hands-on data analyst experience across multiple business functions.
• Solid SQL; ability to write clean queries with joins, window functions, and CTEs; BigQuery a plus.
• Strong curiosity about how the business makes money and why analytics are needed.
• Willing to engage with stakeholders across functions and ask clarifying questions.
• Adaptable and curious across domains with breadth over narrow focus.
• Clear communication to non-technical audiences in decks, docs, or walkthroughs.
• Careful with high-visibility numbers; document assumptions and cross-check data.
• Proficiency in a modern BI tool (Metabase/Looker) and spreadsheets.

Responsabilidades

• Partner with stakeholders across the business to build analyses, dashboards, and recurring reports.
• Translate stakeholder requests into structured analytical problems and clear narratives with recommendations.
• Support investor and board reporting with data, charts, and supporting analysis.
• Build stakeholder relationships and proactively surface insights across functions.
• Follow team standards for SQL, documentation, and analysis; engage in peer reviews.

Conhecimentos

SQL

BigQuery

Data storytelling

Stakeholder engagement

Ferramentas

Metabase

Looker

Spreadsheets

Descrição da oferta de emprego

What You’ll Do

1. Partner with stakeholders across the business
   • Build a working understanding of how the whole business operates, what drives revenue, cost, customer behavior, and risk
   • Partner primarily with Product, Marketing, and Finance teams on analyses, dashboards, and recurring reporting
   • Move across business areas based on team priorities
2. Turn business questions into clear analysis
   • Translate stakeholder requests into structured analytical problems, with guidance when needed
   • Deliver findings as clear narratives with supporting recommendations
3. Support investor and board reporting
   • Help prepare data, charts, and supporting analysis for investor updates and board-level reports
   • Work under the Senior Analyst’s supervision to ensure accuracy and consistency in numbers that reach external audiences
   • Build the habit of double-checking, cross-referencing, and clearly documenting assumptions in high-visibility work
4. Build stakeholder relationships
   • Engage directly with stakeholders across different functions
   • Over time, move from reactive request-taking to proactively surfacing insights and opportunities
   • Learn to ask clarifying questions before jumping into data, and to flag when a request won’t answer the underlying business question
5. Grow within the analytics team
   • Follow team standards for SQL, documentation, and analysis
   • Participate in peer reviews, learn from the senior analyst, and share what you’re learning across domains
   • Receive regular coaching, with a clear growth path toward senior analyst and domain lead roles

You’re a Great Fit If You

• 1–4 years of hands‑on data analyst experience, ideally with exposure to multiple business functions
• Solid SQL. You can write clean queries against large datasets and are comfortable with joins, window functions, and CTEs. BigQuery experience is a plus.
• Business curiosity. You naturally ask “why does the business need this?” before jumping to data. You want to understand how the company makes money, not just execute requests.
• Willing to engage with stakeholders. You are comfortable talking to stakeholders across different functions, asking clarifying questions, and saying “I don’t know yet” honestly.
• Adaptable and curious across domains. You enjoy switching context between business areas and are excited by breadth rather than narrow specialization.
• Clear communication. You can explain analysis in a deck, doc, or verbal walkthrough — tailored to a non‑technical audience.
• Careful with high‑visibility numbers. You double-check, cross‑reference, and document assumptions — especially for work that reaches leadership or external audiences.
• Proficiency in a modern BI tool (Metabase, Looker, or equivalent) and spreadsheets.