Data Analyst

Glints; Jakarta Selatan; On-site; IDR 492.125.000 - 820.210.000; Full time

Job summary

A leading talent development platform in Jakarta Selatan is seeking a Data Analyst to transform data into meaningful insights that drive business decisions. The ideal candidate will have over 6 years of experience, strong analytical skills, and proficiency in tools like Excel and SQL. This role offers the opportunity to work collaboratively across teams, delivering actionable reports and dashboards. Join a dynamic environment to enhance data-driven decision-making.

Qualifications

• Minimum of 6 years of experience in data analysis or a related analytical role.
• Strong analytical thinking and problem-solving abilities.
• Excellent communication skills, with the ability to present complex data clearly and effectively.
• Comfortable working in a dynamic environment with multiple priorities and stakeholders.

Responsibilities

• Collect, clean, and preprocess data from various sources.
• Conduct exploratory data analysis to uncover trends and opportunities.
• Design and deliver dashboards and reports using business intelligence tools.
• Translate complex datasets into clear insights and recommendations.

Skills

Analytical thinking

Problem-solving

Communication skills

Dynamic environment adaptation

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field

Tools

Excel

SQL

Tableau

Power BI

R

Python

Job description

Overview

Data Analyst plays a crucial role in transforming data into meaningful insights that drive business decisions. This position is responsible for gathering, cleaning, and analyzing data, identifying patterns and trends, and delivering clear, actionable reports and dashboards to key stakeholders. The ideal candidate combines strong analytical skills, a collaborative mindset, and a solid understanding of business operations.

Responsibilities

• Data Preparation: Collect, clean, and preprocess data from various sources to ensure accuracy and consistency.
• Exploratory Analysis: Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for improvement.
• Reporting and Visualization: Design and deliver dashboards and reports using tools like Power BI, Tableau, or similar platforms.
• Business Insights: Translate complex datasets into clear insights and recommendations for stakeholders across departments.
• Collaboration: Work closely with business units, product teams, and engineers to define data needs and support data-driven decision-making.
• Data Governance: Ensure data quality, integrity, and compliance with internal standards and external regulations.
• Process Improvement: Identify ways to enhance data collection and reporting processes for increased efficiency and greater impact.
• Research-Oriented Collaboration: Thrive in a dynamic, research-focused group with several concurrent projects, contributing to innovative solutions and high-impact outcomes.
• Stakeholder Communication: Communicate findings, insights, and recommendations to all stakeholders, ensuring alignment and understanding.
• Agile Development: Drive the adoption of agile methodologies, ensuring iterative progress and delivering high-quality solutions.
• Collaborate Across Teams: Work closely with product design and engineering teams to understand their needs and translate them into actionable data solutions.

Qualifications

• Minimum of 6 years of experience in data analysis or a related analytical role.
• Strong analytical thinking and problem-solving abilities.
• Excellent communication skills, with the ability to present complex data clearly and effectively.
• Comfortable working in a dynamic environment with multiple priorities and stakeholders.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.

Technical Expertise

• Proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI, Looker).
• Familiarity with scripting languages like Python or R for basic data manipulation and analysis.
• Understanding of statistical concepts and their practical applications in business.
• Experience working with relational databases and large datasets.