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Job Description

Job Description – Data Analyst

Position: Data Analyst
Experience: 2-4 Years
Location: Mumbai 


We are seeking a Data Analyst with 2-4 years of experience in analyzing transportation and mobility data. The ideal candidate will have a strong analytical mindset, experience in data visualization, and the ability to extract insights from large datasets related to transport operations, logistics, and mobility trends.


Responsibilities
  • Collect, clean, and analyze large-scale transport and mobility datasets from various sources (GPS tracking, IoT sensors, ticketing systems, etc.).
  • Develop and maintain dashboards and reports using visualization tools like Power BI, Tableau, or Looker to provide actionable insights.
  • Identify patterns, trends, and inefficiencies in transport data to improve operations and optimize routes.
  • Work closely with stakeholders, operations teams, and data engineers to translate business requirements into data-driven solutions.
  • Perform statistical analysis and predictive modeling to forecast demand, optimize fleet utilization, and enhance decision-making.
  • Ensure data quality, accuracy, and consistency across various sources.
  • Develop SQL queries and scripts to extract and manipulate data for analysis.
  • Provide insights and recommendations to improve transport efficiency, cost-effectiveness, and customer experience.
  • Collaborate with IT and engineering teams to enhance data collection and processing methods.
Requirements
  • 2-4 years of experience in data analysis, preferably in transportation, logistics, or mobility sectors.
  • Proficiency in SQL for data extraction and manipulation.
  • Hands-on experience with data visualization tools like Power BI, Tableau, or Looker.
  • Strong analytical and problem-solving skills with experience in Python or R for data analysis.
  • Experience working with transport-related data, including GPS tracking, fleet management, and route optimization.
  • Ability to handle, clean, and process large datasets efficiently.
  • Understanding of statistical techniques and predictive modeling for transport analytics.
  • Experience in working with ETL pipelines and data transformation processes.
  • Strong communication skills to translate data insights into business strategies

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