Associate Manager Data Analytics
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Job Summary
Location: Pune Maharashtra
Summary
The Associate Manager Data Analytics is the connective tissue across Hersheys data landscapethe person who understands how data relates across domains traces it back to its source and delivers trusted answers to the questions that drive business decisions. This is not a dashboarding or visualization role. This is a hands-on-the-data role for someone who thinks in joins speaks in SQL and gets energized by making sense of complexity.
Reporting toData Product Managers within the Data Analytics team this analyst works day-to-day with Data Product Owners tovalidatethat data products are built onaccurate well-understood foundations. They partner with the Data Governance team to uphold definitions standards and quality. They support Data Engineers by translating business questions into precise technical requirements. And they sit alongside domain teams and business users to ensure that when Hersheymakes a decisionwith data the data underneath is right.
What We Are Building for Hershey
Hersheys data products span retail execution supply chain planning commercial analytics and consumer insightsand the most valuable answers live at the intersections. Why did trade promotion ROI shift The answer connectspromotionspend data to shipment data to retailer sell-through. Where are we losing shelf availability The answer threads inventorylogistics and store-level POS together. This role exists because those cross-domain connectionsdonthappen by accidenttheyrequiresomeone with sharp analytical skills and deep curiosity who can trace data across systemsvalidatethe logic and deliver answers the business can trust. Every dashboard every ML model and every executive decision at Hershey is only as good as the data underneath it. This analyst makes sure that dataholdsup.
Major Duties & Responsibilities
1. Data Investigation & Question Resolution
Receive business questions from Data Product Managers Data Product Owners and domain teams; decompose them into data requirements trace across source systems and deliver validated data-backed answers.
Conduct exploratory analysis across datasets to uncover patterns anomalies and root causes that inform data product decisions.
2. Data Connectivity & Relationship Mapping
Understand and document how data entities relate across Hersheys domainshow a promotion ties to a shipment how a demand forecast connects to production planning howconsumer data links to commercial outcomes.
Work with Data Product Owners tovalidatethat the data relationships underlying their products are correct complete and fit for purpose.
3. Data Validation & Quality Analysis
Profile datasetsvalidatebusiness rules reconcile data across sources andidentifyquality issues that affect downstream data products and analytics.
Surface findings to the Data Governance teamflagging definition inconsistencies undocumented transformations and quality gaps to strengthen enterprise data standards.
4. Governance Alignment & Standards Support
Partner with the Data Governance team tovalidatebusiness term definitions against actual data behavior contribute to data dictionaries and catalogs and ensure analytical work aligns with governance policies.
5. Requirements & Cross-Team Collaboration
Translate what Data Product Owners need into specifications that Data Product Managers canprioritizeand Data Engineers can buildbridging business intent and technical implementation.
Support domain teams and business users by providing analyticalexpertiseon data structure availability and meaning across Hersheys data estate.
Required Knowledge Skills and Abilities
SQL & Data Analysis:Solid SQL skills for querying joining and analyzing data across multi-source environments. Comfort writing queries that span domains andvalidatedata relationships.
Analytical Reasoning & Data Connectivity:Ability to take a broad business question break it into data requirements and work methodically toward a validated ofhow datasets relate across systems and where data connections can break down.
Communication & Collaboration:Ability to explain data findings clearly to both technical and business audiences; comfort working across Data Product Owners Governance Engineering and domain teams.
Preferred Skills
Python for data analysis (pandas notebooks) and basic automation of analytical workflows.
Familiarity with cloud data platforms particularly Azure and Databricks.
Exposure todata governance concepts: metadata management data catalogs business glossaries and data quality frameworks.
Understanding ofdata modeling concepts (dimensional modeling entity-relationship design) and how they affect analytical work.
Experience & Education
Bachelors degree in Data Science Information Systems Computer Science Statistics Business Analytics ora relatedanalytical field.
24 years of experience in data analysis analytics engineering or a data-focused role working with production datasets.
Demonstrated ability to write complex SQL work with relational data across multiple sources and reasonabouthow data connects across systems.
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The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individuals race color gender age national origin religion citizenship status marital status sexual orientation gender identity transgender status physical or mental disability protected veteran status genetic information pregnancy or any other categories protected by applicable federal state or local laws.
The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans.
You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability.
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Required Experience:
Manager
About Company
Here at Hershey, our purpose is to make more moments of goodness for consumers around the world.
