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:

Data Analyst