Cuemath
Data Analyst
CuemathIndia2 days ago
Full-timeEducation

We are seeking a Junior Data Analyst with 2-3 years of experience who is passionate about working with data using Google Sheets / Excel and SQL, and eager to grow into more advanced analytics roles.

The ideal candidate should be comfortable handling datasets, building reports and dashboards, and supporting teams with data-driven insights. You will work closely with senior analysts and cross-functional business stakeholders to collect, clean, and analyze data — primarily using Google Sheets and SQL, while also exploring tools like Python, Google Apps Script, and data visualization platforms to automate and enhance analytics workflows.


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.

Key Skills

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