Back to jobs

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
Apply at Staffinc

What you’ll work on

Full posting
  • Clean, 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 qualifications

Core 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 error

Open 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.

Already applied? Track this application

Job description

View original posting ↗

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.

HR System: Streamlined software for hiring, managing, payroll, and benefits. 
Procurement & Rental: Tools and equipment for your workforce, from laptops to vehicles.

Founded in 2018, Staffinc empowers over 1.7 million workers across 350+ cities, combining people and technology to drive meaningful impact.  

As a Data Analyst, you will work across all business functions and departments, providing general analytics support organization-wide. 


Job Description:
  • 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.


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

  • 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

View original posting ↗

Source notes

Source excerpts

Selected 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.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.