Data Analyst
Jakarta, South Jakarta, Indonesia
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Data Science, Statistics, Mathematics, Business, Economics, or related field (or equivalent professional experience)
- Ability to work independently and collaborate effectively in a team environment
- Experience with Python or R for data analysis
- 3+ years of professional experience in Data analysis, Business intelligence, or similar role
- Knowledge of cloud platforms (AWS, Azure, Google Cloud)
- Strong proficiency in SQL for querying and manipulating data
Qualification wording
Bachelor's degree in Data Science, Statistics, Mathematics, Business, Economics, or related field (or equivalent professional experience)
Ability to work independently and collaborate effectively in a team environment
Experience with Python or R for data analysis
3+ years of professional experience in Data analysis, Business intelligence, or similar role
Knowledge of cloud platforms (AWS, Azure, Google Cloud)
Strong proficiency in SQL for querying and manipulating data
Tools in this posting
- Python
- R
- SQL
- AWS
- Azure
- Excel
- Looker
- Metabase
- Superset
- Tableau
- Google Cloud (GCP)
- Power BI
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
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on staffinc-talent.freshteam.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
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.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 97
- Last seen by us
- Oct 10, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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