Associate Manager Data Analytics
The Hershey Company Pune Division, Maharashtra, India
Job Description
"Unlock the power of data to drive business decisions at The Hershey Company as an Associate Manager Data Analytics in Pune, Maharashtra."
In this pivotal role, you will be responsible for bridging the data landscape, ensuring data accuracy, and delivering actionable insights that inform business strategies.
As a key member of the Data Analytics team, you will collaborate with Data Product Managers, Data Governance, and Data Engineers to drive data-driven decision making and excellence.
Why you should learn this:
The demand for skilled data analytics professionals is high in the current market, with a strong focus on data-driven decision making and business excellence.
Expected Salary: $120,000 - $180,000 per annum, depending on experience and qualifications
How it works:
- Develop a deep understanding of Hershey's data landscape, identifying data sources, relationships, and patterns.
- Collaborate with Data Product Managers to validate data products and ensure accurate, well-understood foundations.
Core Concepts to Master
Data Governance
Understanding data governance principles, including data definitions, standards, and quality, to ensure data accuracy and consistency across the organization.
Data Product Management
Collaborating with Data Product Managers to validate data products, ensure accurate foundations, and drive data-driven decision making.
Data Engineering
Partnering with Data Engineers to support data engineering efforts, ensure data quality, and drive data excellence.
SQL and Data Modeling
Developing expertise in SQL and data modeling to extract insights from complex data sets and create data products that meet business needs.
Interview Questions (Beginner)
- Can you explain a time when you had to troubleshoot a complex data issue?
- How do you stay up-to-date with the latest data analytics trends and technologies?
- Can you walk me through your process for data quality assurance?
Job Overview
Advance Questions
- • How would you design a data governance framework to ensure data accuracy and consistency across the organization?
- • Can you explain the differences between data warehousing and data lakes, and how you would choose between them?
- • How do you prioritize data engineering efforts to meet business needs and drive data excellence?