Fampay Hiring Drive 2024 For Data Analyst (New) | Location Bengaluru

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Fampay Hiring Drive 2024: Fampay Hiring Drive 2024 for its Data Analyst (New). Fampay Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelors in Computer Science. if you are interested, please apply as soon as possible.

Company Name: Fampay

Role: Data Analyst (New)

Location: Bengaluru

Experience: 1 year

Qualification: Bachelors in Computer Science

Batch: Any

Job Type: Full Time

Salary: 12.3 LPA (Expected)

Fampay Hiring Drive 2024

Job Description:

  • We are looking for a passionate Data Analyst. You will turn the data into information, information into insight and insight into business decisions.
  • You will be conducting full lifecycle analysis to include requirements, activities and design.
  • You will also develop analysis and reporting capabilities and will monitor performance and quality control plans to identify improvements.


  • Atleast 1 year of working experience as a Data Analyst or Business Data Analyst.
  • Bachelors in Computer Science (or equivalent work experience).
  • Technical expertise with data models, database design development, data extraction and segmentation techniques are good to have.
  • Strong knowledge of and experience with reporting packages (Tableau, Metabase, Mixpanel etc), databases (SQL etc), programming (Python, R or ETL frameworks).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.


  • Interpret data, analyze results using statistical techniques and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
  • Work with the teams to prioritize business and information needs.
  • Locate and define new process improvement opportunities.

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