Bp Off Campus Drive 2024 for Graduate Data Analyst

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Bp Off Campus Drive 2024 for its Graduate Data Analyst, BP Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors Degree in a related discipline. If you are interested, Please apply as soon as possible.

Company Name: BP

Role: Graduate Data Analyst

Location: Pune

Experience: Freshers

Qualification: Bachelors Degree in a related discipline

Batch: Any Batch

Job Type: Full Time

Salary: Rs,4.2LPA(Expected)

Bp Off Campus Drive 2024

Job Description:

This role will focus on building the Analytics Strategy and execution plan for GBS. It focuses on crafting actionable insights for various global business lines in a balanced manner. This will be part of Analytics COE that sets analytics governance for rest of the organization.


  • Bachelor’s degree in a relevant field, such as Business, Information Systems, Computer Science, or a related discipline.
  • Strong analytical and problem-solving skills.
  • Eagerness to learn and a strong curiosity about data analytics and SAP processes.
  • Basic knowledge of data analysis tools, such as Excel, SQL, or basic scripting languages.
  • Superb interpersonal skills and the ability to work optimally in a team.
  • Ability to adapt to a multifaceted and fast-paced work environment


Data Analysis and Interpretation:

  • Analyze data to identify trends, patterns, and insights that can drive business decisions.
  • Develop and maintain data models to support business intelligence and reporting.

Reporting and Visualization:

  • Build insightful and visually appealing reports and dashboards using tools like Tableau, Power BI, or SAP Analytics Cloud.
  • Present data-driven insights to key partners and provide actionable recommendations.

SAP Process Knowledge:

  • Demonstrate a deep understanding of SAP processes, modules, and data structures.
  • Collaborate with SAP teams to optimize data extraction, transformation, and loading processes.

Data Quality Assurance:

  • Implement data quality standards and best practices to maintain data integrity.
  • Identify and resolve data quality issues, ensuring high-quality data for analysis.

Automation and Efficiency:

  • Automate data collection and reporting processes where possible to improve efficiency.
  • Stay updated on industry best practices and new technologies related to data analysis and SAP.


  • Work closely with cross-functional teams to gather requirements and provide data-driven solutions.
  • Collaborate with IT teams to ensure data availability and accessibility.

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