Position title
PhonePe Recruitment 2023 - Jobs Near Me - Data Analysis Posts
Job Location
India
Remote work from: Brazil




Base Salary
USD.12,500-USD.17,500 Per month
Qualifications

Graduate , 12th Pass

Employment Type
Full-time




 

Description

PhonePe Recruitment 2023

PhonePe is currently seeking qualified individuals for the position of Data Analyst. As a Data Analyst, you will play a critical role in analyzing and interpreting complex data sets to provide valuable insights and support decision-making processes. You will work closely with cross-functional teams to identify trends, patterns, and opportunities that drive business growth. This is an excellent opportunity to join PhonePe, a leading digital payments platform, and contribute to the advancement of data-driven strategies.




PhonePe Careers

Responsibilities:

  1. Collect, clean, and analyze large datasets to extract meaningful insights.
  2. Identify key business metrics and develop relevant reports and dashboards for stakeholders.
  3. Conduct exploratory data analysis to uncover patterns, trends, and anomalies.
  4. Collaborate with internal teams to define and refine data requirements for specific projects.
  5. Develop and implement data models, algorithms, and statistical analyses to support business objectives.
  6. Communicate findings and insights to stakeholders through clear and compelling visualizations, presentations, and reports.
  7. Perform predictive and prescriptive analysis to drive data-driven decision-making.
  8. Continuously monitor data quality and accuracy, making recommendations for improvement as necessary.
  9. Stay updated with industry trends, best practices, and emerging technologies in data analysis.
  10. Contribute to the development and enhancement of data analysis tools, processes, and methodologies.




PhonePe Jobs Near Me

Skills:

  1. Bachelor's degree in a quantitative field such as mathematics, statistics, economics, or computer science. A master's degree is preferred.
  2. Proven experience in data analysis or a related role, preferably in the technology or finance industry.
  3. Strong proficiency in SQL and advanced Excel for data extraction, manipulation, and analysis.
  4. Familiarity with data visualization tools such as Tableau, Power BI, or QlikView.
  5. Knowledge of statistical analysis techniques and data mining methodologies.
  6. Experience with programming languages such as Python or R for data analysis and modeling.
  7. Strong analytical and problem-solving skills, with a keen eye for detail.
  8. Excellent communication and presentation skills to convey complex concepts to both technical and non-technical stakeholders.
  9. Ability to work independently and collaboratively in a team environment.
  10. Strong business acumen and the ability to translate data insights into actionable recommendations.
Important Links

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Date posted
June 12, 2023
Valid through
December 31, 2023
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