Data Analyst

Solve Education! Foundation; Jawa Timur; On-site; IDR 8.000.000 - 12.000.000; Full time

Job summary

A global educational organization is seeking a Data Analyst to transform data into actionable insights. You will build dashboards, analyze trends, and ensure data quality, working independently in a fast-paced environment. Ideal candidates will have experience in data analysis, proficiency in SQL and Python, and familiarity with data visualization tools. It's an exciting opportunity to contribute to impactful educational solutions.

Qualifications

• 1–3 years of experience in data analysis, business intelligence, or related roles.
• Strong command of SQL and experience with relational databases.
• Proficiency in Python or R for data analysis.

Responsibilities

• Gather, clean, and validate data from multiple sources.
• Analyze data to uncover trends, risks, and opportunities.
• Build dashboards and reports that are intuitive and impact-driven.

Skills

Data analysis

SQL

Python

Data visualization

Attention to detail

Tools

Tableau

Power BI

AWS

GCP

Job description

Overview

Solve Education! is hiring a Data Analyst who can operate at a high standard in a demanding, fast-moving, and execution-focused environment. This role requires more than technical skill — it calls for precision, discipline, and the ability to deliver under pressure.

You’ll be responsible for transforming data into actionable insights that power our global impact. From building dashboards to analyzing trends, you will handle the full cycle of data analysis: collection, validation, visualization, and reporting. All with minimal supervision and tight timelines. This is a position for someone who is ready to lead by doing, not waiting for direction.

Before You Apply

This role is not light, routine, or heavily guided. You’ll be expected to handle ambiguity, juggle multiple priorities, and deliver decision-ready analyses with little to no revision. You must stay calm under pressure, take full ownership of your tasks, and deliver reliable outputs — even when requirements shift or immediate turnaround is needed.

If you’re seeking a role that will stretch your analytical capacity, sharpen your problem-solving, and accelerate your growth, and you’re prepared to meet high expectations, we want to hear from you.

Responsibilities

Data Collection & Management

• Gather, clean, and validate data from multiple sources.
• Ensure accuracy, consistency, and reliability of datasets.
• Support the creation of well-structured databases and reporting systems.

Analysis & Insights

• Analyze data to uncover trends, risks, and opportunities.
• Translate business requirements into analytical models and visualizations.
• Provide clear, actionable insights to guide decision-making.

Performance & Reporting

• Build dashboards and reports that are intuitive and impact-driven.
• Monitor KPIs and metrics to track organizational performance.
• Communicate findings effectively to technical and non-technical stakeholders.

Data Quality & Governance

• Apply best practices in data validation, documentation, and compliance.
• Maintain high standards of data integrity across platforms.

AI-Enhanced Workflows

• Use AI-powered tools (e.g., ChatGPT, GitHub Copilot, cloud-native AI services) to speed up data analysis, documentation, and reporting.
• Continuously explore and adopt new technologies to streamline workflows.

Collaboration

• Work closely with program teams, engineers, and leadership to enable data-driven decisions.
• Provide analytical support for strategic initiatives and program evaluations.

What We’re Looking For

• 1–3 years of experience in data analysis, business intelligence, or related roles.
• Strong command of SQL and experience with relational databases.
• Proficiency in Python or R for data analysis.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker, or Data Studio).
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Tech-savvy, with openness to learning and applying AI tools in daily workflows.
• Ability to manage multiple priorities independently and under pressure.
• High attention to detail, accountability, and problem-solving skills.

Bonus Points If You Have

• Experience with statistical modeling or predictive analytics.
• Knowledge of big data tools (Spark, Hadoop) or data warehouses (BigQuery, Snowflake, Redshift).
• Exposure to A/B testing, experimental design, or MLOps.
• Proven use of AI tools (e.g., Copilot, LLM-based assistants, automation frameworks) to accelerate analytical tasks.
• Experience working in mission-driven or non-profit organizations.

Click here to apply