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.
Requirements:
- 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.
Responsibility:
- 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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