Data Analyst
Jakarta, South Jakarta, Indonesia
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingClean, validate and analyze data from multiple sources
Build dashboards and visualizations in Metabase or Superset
Produce regular and ad-hoc reports for departments
Monitor KPIs and track performance against benchmarks
Give data-driven recommendations to business teams
From the employer’s posting
Collect, process, and analyze data from multiple sources
creating visualizations and dashboards using tools like Metabase or Superset
generating regular and ad-hoc reports
Monitor key performance indicators (KPIs), track performance against benchmarks
provide data-driven recommendations
What you’ll bring
All qualificationsCore experience
- 3+ years in data analysis, business intelligence or similar
- Strong SQL for querying and manipulating data
- Advanced Excel: pivot tables, formulas, data visualization
- Experience with Tableau, Power BI, Looker or similar tools
- Bachelor's degree in a quantitative or business field, or equivalent experience
Qualification wording
3+ years of professional experience in Data analysis, Business intelligence, or similar role
Strong proficiency in SQL for querying and manipulating data
Advanced Excel skills, including pivot tables, formulas, and data visualization
Experience with data visualization tools (Tableau, Power BI, Looker, or similar)
Bachelor's degree in Data Science, Statistics, Mathematics, Business, Economics, or related field (or equivalent professional experience)
Education & alternatives
Requirements: - Bachelor's degree in Data Science, Statistics, Mathematics, Business, Economics, or related field (or equivalent professional experience) - 3+ years of professional experience in Data analysis, Business intelligence, or similar role
Tools in this posting
- Python
- R
- SQL
- AWS
- Azure
- Excel
- Looker
- Metabase
- Power BI
- Superset
- Tableau
- GCP
Source — Tool mentions in context
Nice to have: - Experience with Python or R for data analysis - Knowledge of cloud platforms (AWS, Azure, Google Cloud)
- 3+ years of professional experience in Data analysis, Business intelligence, or similar role - Strong proficiency in SQL for querying and manipulating data - Advanced Excel skills, including pivot tables, formulas, and data visualization
- Experience with Python or R for data analysis - Knowledge of cloud platforms (AWS, Azure, Google Cloud) - Familiarity with business intelligence tools and data warehousing
- Strong proficiency in SQL for querying and manipulating data - Advanced Excel skills, including pivot tables, formulas, and data visualization - Experience with data visualization tools (Tableau, Power BI, Looker, or similar)
- Advanced Excel skills, including pivot tables, formulas, and data visualization - Experience with data visualization tools (Tableau, Power BI, Looker, or similar) - Solid understanding of statistical concepts and analytical methods
- Transforming raw data into meaningful reports and visualizations that drive organizational success and operational efficiency. - Cleaning and validating data, conducting statistical analysis, creating visualizations and dashboards using tools like Metabase or Superset, generating regular and ad-hoc reports, and collaborating with departments throughout the organization to understand analytical needs and provide data-driven recommendations. - Monitor key performance indicators (KPIs), track performance against benchmarks, and support decision-making through quantitative analysis across finance, operations, marketing, sales, and other business areas.
About Staffinc
Staffinc, Indonesia’s leading digital staffing platform, meets the workforce needs of businesses with comprehensive solutions:
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this listing 144 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 144 days ago
- Recorded sightings
- 110
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on staffinc-talent.freshteam.com. The employer’s form will show what is required.
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Job description
About Staffinc
Staffinc, Indonesia’s leading digital staffing platform, meets the workforce needs of businesses with comprehensive solutions:
Staffing: Curated talent management from recruitment to payroll.
As a Data Analyst, you will work across all business functions and departments, providing general analytics support organization-wide.
Collect, process, and analyze data from multiple sources to support business decision-making and identify actionable insights.
Transforming raw data into meaningful reports and visualizations that drive organizational success and operational efficiency.
Cleaning and validating data, conducting statistical analysis, creating visualizations and dashboards using tools like Metabase or Superset, generating regular and ad-hoc reports, and collaborating with departments throughout the organization to understand analytical needs and provide data-driven recommendations.
Monitor key performance indicators (KPIs), track performance against benchmarks, and support decision-making through quantitative analysis across finance, operations, marketing, sales, and other business areas.
Bachelor's degree in Data Science, Statistics, Mathematics, Business, Economics, or related field (or equivalent professional experience)
3+ years of professional experience in Data analysis, Business intelligence, or similar role
Strong proficiency in SQL for querying and manipulating data
Advanced Excel skills, including pivot tables, formulas, and data visualization
Experience with data visualization tools (Tableau, Power BI, Looker, or similar)
Solid understanding of statistical concepts and analytical methods
Excellent communication skills with ability to explain findings to diverse audiences
Detail-oriented with strong problem-solving abilities
Ability to work independently and collaborate effectively in a team environment
Nice to have:
Experience with Python or R for data analysis
Knowledge of cloud platforms (AWS, Azure, Google Cloud)
Familiarity with business intelligence tools and data warehousing
Experience with database design and management
Certification in relevant analytics or data tools
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Jakarta, South Jakarta, Indonesia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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