PayPal Data Analyst Job Alerts 2025 – Data Analyst 2

Exciting Opportunity at PayPal for the role of Data Analyst 2 in Chennai, Tamil Nadu, India.

Responsibilities

• Provide analytical insights into problems, emerging trends, and changes to the portfolio.
• Drive projects end-to-end from ideation to implementation in a time-sensitive and efficient manner.
• Identify new opportunities and continuous improvements to contribute to the team’s KPIs and targets.
• Work closely with business partners and stakeholders to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues.
• Effectively manage relevant stakeholders through the lifecycle of a project by understanding various needs, priorities, and perspectives to drive for a solution.
• Understand new products, features, and trends and their impact on back-office reviews.
• Identify present or future gaps in the team’s existing reporting and tools suite.
• Provide regular updates to leadership, product, and other stakeholders that simplify and clarify complex concepts and the results of analyses effectively, emphasizing actionable outcomes and impact on the business.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related field with 2-3 years’ experience, or Master’s degree with 1-2 years’ experience in risk management, data science, and/or loss forecasting, particularly in the payments space or banking/finance services industry.
• Proficiency using SQL and querying relational databases.
• Experience in at least one statistical programming language (SAS, R, Python).
• Familiarity with reporting tools (Tableau, Power BI, or Qlik) is highly desired.
• Experience in predictive modeling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
• Experience with structuring analyses to solve business problems using data and analytics tools and techniques.
• Solid technical/data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results.
• Data-driven and outcome-focused.
• Good business judgment with demonstrated ability to think creatively and strategically.
• Intuitive, organized analytical thinker, with the ability to perform detailed analysis.
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high-impact work.

How to Apply?

Application Link:

• Apply Here

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