Data Analyst

Rapido

Bengaluru

On-site

INR 600,000 - 1,200,000

Full time

4 days ago
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Job summary

Rapido in Bengaluru, India is seeking a data analytics professional to strengthen our MIS, BI, and data insights capabilities. You will partner with business functions to translate complex data into actionable metrics and reports, enabling informed decisions across product, operations, and marketing.

The role requires 2–5 years of relevant experience, strong SQL, advanced Excel (Pivot Tables, Power Query), and hands-on use of Power BI or Tableau.

Qualifications

  • Bachelor's degree in CS/IT/BA/Statistics or related field.
  • 2-5 years of experience in MIS, BI, or Data Analytics.
  • Strong proficiency in SQL.
  • Advanced knowledge of MS Excel, including Pivot Tables and Power Query.
  • Hands-on experience with Power BI, Tableau, or similar BI tools.
  • Knowledge of databases and data warehousing concepts.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management skills.

Skills

SQL
Advanced Excel
Power BI
Tableau
Data analytics
Stakeholder management

Education

Bachelor's degree (CS/IT/BA/Statistics)

Tools

Power BI
Tableau

Job description

Batch: 2021/2022/2023/2024/2025.

Requirements
  • Bachelor's degree in Computer Science, Information Technology, Business Administration, Statistics, or a related field.
  • 2-5 years of experience in MIS, Business Intelligence, or Data Analytics.
  • Strong proficiency in SQL.
  • Advanced knowledge of Microsoft Excel, including Pivot Tables and Power Query.
  • Hands-on experience with Power BI, Tableau, or similar BI tools.
  • Knowledge of databases and data warehousing concepts.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management skills.
Preferred Skills
  • Knowledge of Python or R for data analysis.
  • Familiarity with ETL processes and data modelling.
  • Experience with ERP or CRM systems.
  • Understanding of business KPIs and financial reporting.
  • Experience with cloud data platforms such as Azure, AWS, or Google Cloud.
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