Senior Data Analyst

7 days ago


Indore, India Carryfast Logistics Pvt Ltd Full time

Role :

The role entails collecting, processing, and analyzing large datasets to optimize operations/logistics/processes. The meaningful derivation of data to develop dashboards and reports for areas critical to business. Collaboration with cross functional teams to implement data-driven strategies and intended improvements.


The Data Analyst's scope of work revolves around defining means & ways of collecting right data sets from business lines & support functions, apply analytic tools to draw meaningful dashboards, reports to aid data driven decision making to support stake holders & cross-functional teams in running the business efficiently.


Job Responsibilities:

  1. Collect and Maintain Data:
  • Acquire data from open sources, business lines, research and maintain databases/data systems.
  • Filter and clean data by deploying analytical tools.
  1. Data Storage and Preservation:
  • Develop strategies to store & preserve data for optimizing statistical efficiency and quality.
  1. Data Analysis:
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Interpret data, analyze results using statistical techniques, and provide ongoing reports.
  1. Reporting and Insights:
  • Develop analysis and reporting capabilities to monitor KPIs & developing intelligence around the business.
  • Work with management to prioritize business and information needs.
  1. Process Improvement:
  • Locate and suggest business strategies based of insights gained from data analysis & trends.


Requirements/Experience:

  • Proven working experience as a Data Analyst or Business Data Analyst.
  • Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
  • Strong knowledge of and experience with reporting packages.
  • Knowledge of statistical tools.
  • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
  • Bachelor’s degree in computer science, Information Technology, Statistics, Mathematics, or a related field.
  • Advanced degree or certification in Data Science or Analytics.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).



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