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Paypal Career | Data Analyst

Paypal Career 2024 Invites Students From Various Disciplines to apply for the Position of Data Analyst in Bangalore/Chennai, India
Below you will find more details about what you need to know if you are Interested and Eligible


Paypal
Recruitment Details :-

Company Name:Paypal
Post Name:Data Analyst
Salary:INR 6-12 LPA (via Glassdoor)
Degree:Bachelor’s degree
Batch:2020/2021/2022/2023/2024
Experience:Freshers/Experienced
Job Location:Bangalore/Chennai, India

Job Description & Responsibilities:-

  • Collaboratively Uncover Insights: Partner with your team to design and execute in-depth analyses using SQL and Python, extracting valuable insights from large datasets within BigQuery.
  • Transform Data into Compelling Stories: Independently leverage your expertise in Tableau or Looker to create visualizations and presentations that translate complex data findings into actionable recommendations for merchants and internal teams.
  • Drive Strategic Decisions: Collaborate with cross-functional partners to present your findings, influence product roadmaps, and shape the overall strategic direction of PayPal’s merchant relationships.
  • Become a Merchant Advocate: Build relationships with merchant partners, understanding their unique needs and challenges to provide tailored recommendations based on your data-driven insights.
  • Explore New Possibilities: Stay curious and proactive, exploring new tools and techniques to enhance your analysis capabilities and contribute to the team’s innovation efforts.

Eligibility Criteria:-

  • Bachelor’s/Master’s degree

Required Skills Set:-

  • Analytical Acumen: A Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.) or equivalent work experience showcasing your analytical skills.
  • SQL Expertise: Proven proficiency in SQL, with a strong ability to extract and manipulate large datasets using tools like BigQuery.
  • Python Proficiency: Demonstrated experience using Python for data analysis, statistical modeling, and seamless integration with SQL workflows.
  • Data Storytelling: Demonstrated experience using data visualization tools (e.g., Tableau, Looker) to translate complex data into clear, actionable insights.
  • Problem-Solving Passion: A natural curiosity and a drive to identify and solve problems, coupled with a knack for turning data into strategic recommendations.
  • Communication Prowess: Excellent verbal and written communication skills, enabling you to effectively collaborate with diverse teams and present findings to stakeholders at all levels.

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