Data Analyst

Dealls – Jobs, CV & Mentoring; Daerah Istimewa Yogyakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading recruitment platform in Yogyakarta is seeking a Data Analyst to collect, clean, and analyze data to identify business trends. The ideal candidate will have 1-3 years of experience, proficiency in SQL, and a good understanding of data visualization tools. This role requires strong analytical skills and the ability to communicate insights effectively to non-technical stakeholders. Join a fast-paced environment to drive data-driven decision-making.

Qualifications

• 1-3 years experience as a Data Analyst or similar role.
• Proficiency in SQL and at least one data visualization tool.
• Strong skills in Excel for data analysis.
• Experience with Python or R is a plus.

Responsibilities

• Collect, clean, and prepare data from various sources.
• Analyze datasets to identify trends impacting business decisions.
• Write and optimize SQL queries for data extraction.
• Translate complex data into actionable business recommendations.

Skills

Data analysis

SQL

Excel

Data visualization tools

Python or R

Analytical skills

Good communication

Tools

Tableau

Power BI

Looker

Job description

Responsibilities

• Collect, clean, and prepare data from various sources (internal systems, SaaS platforms, databases).
• Analyze large datasets to identify trends, patterns, and insights that impact business decisions.
• Write and optimize SQL queries for data extraction and analysis.
• Translate complex data into clear and actionable business recommendations.
• Ensure data accuracy, compliance, and governance standards are met.
• Continuously identify opportunities for process automation and reporting efficiency.

Requirements

• Proven experience (1–3 years) as a Data Analyst, Business Analyst, or in a similar role.
• Proficiency in SQL and at least one data visualization tool (e.g., Tableau, Power BI, Looker, or similar).
• Strong skills in Excel for data analysis and reporting.
• Experience with Python or R for data manipulation is a plus.
• Solid understanding of statistics, data cleaning, and reporting techniques.
• Strong analytical and problem‑solving skills with high attention to detail.
• Good communication skills to explain insights to non‑technical stakeholders.
• Ability to work collaboratively in a fast‑paced SaaS environment.