Data Analyst

Junior Data Analyst

handling datasets, building reports and dashboards

Key Responsibilities

📊 Data Management & Reporting

• Collect, clean, and organize data from multiple sources using

  Google Sheets

  and

  SQL

  .
• Build and maintain

  automated reports and dashboards

  for business KPIs and performance tracking.
• Use formulas, pivot tables, charts, and scripts to create efficient and insightful reporting templates.
• Ensure

  data accuracy, completeness, and consistency

  across all reports and analyses.

🔍 Data Analysis & Insights

• Perform

  exploratory data analysis (EDA)

  to identify patterns, trends, and business opportunities.
• Support senior analysts in building

  data models and forecasting reports

  .
• Translate raw data into

  clear, actionable insights

  that inform business decisions.
• Conduct quick-turnaround analyses to address operational or strategic questions.

⚙️ Automation & Process Improvement

• Use

  Google Apps Script

  or

  basic Python

  to automate repetitive data tasks and workflows.
• Streamline manual reporting processes to improve efficiency and reduce turnaround time.
• Explore

  AI tools like ChatGPT

  to optimize data workflows, generate summaries, and enhance reporting efficiency.

📈 Visualization & Communication

• Create clear and engaging visual dashboards in

  Google Sheets

  ,

  Looker Studio

  , or

  Power BI

  .
• Present analytical findings in a simple, concise way for

  non-technical stakeholders

  .
• Support data storytelling by combining visuals and insights into compelling business narratives.

🤝 Collaboration & Continuous Learning

• Partner with

  business, product, and operations teams

  to understand data requirements.
• Work under the guidance of senior analysts to continuously improve technical and analytical skills.
• Stay curious and proactive in learning new tools, technologies, and analytical techniques.

Required Skills & Qualifications

🎯 Technical Skills

• Google Sheets / Excel:

  Advanced skills in formulas, pivot tables, charts, and dashboards.

• SQL:

  Ability to write basic to intermediate queries for data extraction and analysis.

• Scripting / Automation:

  Exposure to

  Google Apps Script

  or

  Python

  is preferred.

• Data Visualization:

  Familiarity with tools like

  Looker Studio, Power BI, or Tableau

  .

• AI Tools:

  Interest in using

  ChatGPT

  and similar platforms for data automation and insights.

💡 Soft Skills

• Analytical thinker with strong attention to detail and accuracy.
• Effective communication skills — able to explain insights clearly and confidently.
• Eagerness to learn, experiment, and grow in a data-driven environment.
• Collaborative mindset and ability to work across teams in a fast-paced setup.