Senior Data Analyst

Skolla EdTech; Jakarta Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

An innovative education technology company is seeking a Data Analyst to support decision-making through data analysis and visualization. The ideal candidate should have a Bachelor's or Master’s degree in a quantitative field and 1–3 years of experience. Proficiency in tools like Power BI and strong analytical skills are essential. Join the team to drive strategic insights and business optimization.

Qualifications

• Minimum 1–3 years of experience as a Data Analyst or in a similar role.
• Strong analytical skills with Excel and tools such as Python or R.
• Ability to translate data into actionable business insights.

Responsibilities

• Collecting, cleaning, and processing data from various sources.
• Conducting data analysis to support strategic decision-making.
• Creating data visualizations and interactive dashboards using tools.

Skills

Data analysis

Data visualization

Communication

Python (Pandas, NumPy)

Excel

Statistical concepts

ETL/ELT tools

Education

Bachelor's or Master’s degree in Mathematics, Statistics, or Computer Science

Tools

Power BI

Tableau

Google Data Studio

Job description

Job Description

• Collecting, cleaning, and processing data from various sources (databases, APIs, external tools).
• Conducting data analysis to answer business questions and support strategic decision-making.
• Identifying trends, anomalies, and key insights from operational and customer behavior data.
• Creating data visualizations and interactive dashboards using Power BI, Tableau, Google Data Studio, or similar tools.
• Preparing analytical reports and presenting findings clearly to non-technical stakeholders.
• Providing data-driven recommendations that consider both short-term and long-term business impacts.
• Supporting forecasting, budgeting, and KPI evaluation processes.
• Analyzing product/service performance and providing input for business strategy optimization.
  
  

Requirement

• Bachelor's or Master’s degree in Mathematics, Statistics, Computer Science, or other quantitative fields.
• Minimum 1–3 years of experience as a Data Analyst or in a similar role.
• Strong analytical skills using Excel and tools such as Python (Pandas, NumPy) or R.
• Experience creating data visualizations and dashboards using at least one of: Power BI, Tableau, Looker, or Google Data Studio.
• Proficient in relational databases and data warehouse structures, and data manipulation.
• Knowledge of basic statistical concepts: hypothesis testing, regression, confidence intervals.
• Basic understanding of A/B testing and KPI measurement.
• Ability to translate data into actionable business insights understandable by stakeholders.
• Understanding of business models, including revenue streams, cost structure, customer segmentation, and distribution channels.
• Ability to align data analysis with short-term and long-term business goals.
• Experience conducting business impact analysis and making strategic data-driven recommendations.
• Excellent communication and presentation skills, especially to non-technical audiences.
• Experience with ETL/ELT tools such as dbt, Airflow, Fivetran (optional but advantageous).