BP International Pune Hiring Graduate Data Analyst – Remote / Hybrid

BP International released new job notifications for the post of Graduate Data Analyst for Pune (Remote / Hybrid) locations. Candidates with Bachelor's degree in a relevant field, such as Business, Information Systems, Computer Science, or a related discipline & Strong analytical and problem-solving skills are eligible to apply. Candidates can apply through the official link mentioned below

Name of the Organization: BP International

Notification ID: RQ073746

Positions: Graduate Data Analyst

Location: Pune (Remote / Hybrid)

Job Type: Full Time

Qualifications:

• 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

Desirable:

• Familiarity with SAP or previous exposure to SAP systems.
• Basic knowledge of data visualization tools (e.g., Tableau, Power BI).
• Internship or coursework related to data analysis

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.

Responsibilities:

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.

Collaboration:

• 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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