Entry-Level Job Opportunity: Data Impact Analyst at PepsiCo

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Entry-Level Job Opportunity: Data Impact Analyst at PepsiCo

PepsiCo is offering an exciting opportunity for candidates looking to begin their careers in data analytics. The position of Data Impact Analyst is based in Hyderabad, India, and is designed for individuals with a passion for working with data, building dashboards, and contributing to data-driven decisions in a fast-moving commercial environment.

This article breaks down all the important information about the role in simple language to help you understand the job clearly and apply with confidence.


๐Ÿง‘โ€๐Ÿ’ผ Job Role: Data Impact Analyst

Location: Hyderabad, India
Department: Sales (Data & Analytics)
Work Setup: Standard/Hybrid
Job ID: 373437


๐Ÿ“ Job Overview

As a Data Impact Analyst, you will be part of PepsiCoโ€™s Data Impact team. This team supports commercial functions like sales and marketing by turning data into useful business insights. Your main role will be to handle data, build dashboards, and help the company make better decisions through data.

You’ll work closely with different departments and contribute to developing tools that simplify how data is used across the organization. This includes using platforms like Power BI and tools like Python or PySpark in Azure Databricks.


๐ŸŽฏ Key Responsibilities

๐Ÿ“Š Data Strategy and Management

  • Help define how commercial data is collected, stored, maintained, and automated.
  • Look for ways to improve the current data strategy.

โœ… Data Quality Checks

  • Perform regular checks to ensure data is accurate and reliable.

๐Ÿ“ˆ Dashboarding and Reporting

  • Manage existing commercial reports.
  • Improve and automate reports using Power BI.
  • Create new dashboards based on the needs of sales and marketing teams.

๐Ÿ’ป Data Preparation

  • Use tools like Python, PySpark, and Azure Databricks to clean and prepare data for analysis.
  • Handle mid to large-scale datasets effectively.

๐Ÿ“Œ Business Collaboration

  • Understand business questions from different teams.
  • Translate those questions into useful data use cases or reports.
  • Support others in using data tools effectively for better decisions.

๐Ÿ’ผ Skills and Qualifications

Must-Have Skills:

  • Strong analytical thinking and ability to find patterns in data.
  • Proficient in Power BI (both backend and frontend).
  • Comfortable working with large datasets.
  • Experience with data tools like Alteryx, Azure Databricks.
  • Knowledge of Python or PySpark for ETL (Extract, Transform, Load) processes.

Good to Have (Optional):

  • Basic understanding of SQL, R, or machine learning models.
  • Experience managing projects from start to finish (E2E project management).

Soft Skills:

  • Excellent attention to detail and accuracy.
  • Curiosity to learn new tools and methods.
  • Strong communication skills (written and verbal).
  • Ability to meet tight deadlines and manage multiple tasks.

๐Ÿš€ Why This Role Is a Great Opportunity

  • Grow in a Data-Driven Role: Gain practical experience in modern analytics platforms and contribute to real business decisions.
  • Work with Global Teams: Collaborate with commercial and analytics teams from across Europe and beyond.
  • Career Development: Get exposure to tools like Power BI, Python, and Databricksโ€”all valuable in the current job market.

๐Ÿง  Tools & Technologies Youโ€™ll Use

  • Power BI (Data visualization)
  • Python / PySpark (Data transformation)
  • Azure Databricks (Cloud-based data platform)
  • Alteryx (Data blending and automation)
  • Excel (Basic data handling)

If you’re someone who enjoys working with data, has basic experience in analytics, and is eager to learn more, this role can be a great start to your data career.

๐Ÿ”— For more details, check the official PepsiCo careers portal or trusted job platforms.


โœจ Wishing you the best of luck in landing this opportunity and starting a successful career in data analytics!


Chandan Mahato

This article is written by me, and I have Master's Degree in Computer Applications (MCA). For any inquiries, feel free to contact me at chandan@jobcode.in. Iโ€™m happy to assist you!