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# Sr. Data Analytics Manager

- **Company:** Nature's Bakery
- **Location:** Pasadena, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Data Warehousing, Power BI, SQL Databases, Data Analytics
- **Published:** June 28, 2026
- **Apply:** https://www.juju.com/job/00000000gbyn7e

## About the Role

+ Bachelor's degree in Business, Analytics, Data Science, Statistics, or a related field.

 + 3-5+ years of experience in a data analytics role, preferably within the CPG industry.

Skills & Capabilities

 + Expert-level proficiency in Power BI, including DAX, data modeling, and visualization best practices.

 + Strong experience working with syndicated data providers (e.g., Nielsen, IRI, SPINS).

 + Proficiency in SQL and experience with data warehousing concepts.

 + A strong analytical mindset with the ability to dissect complex problems and deliver clear, actionable solutions.

 + Excellent verbal and written communication skills, with the ability to present complex data to both technical and non-technical audiences.

## Description

The Sr. Data Analytics Manager will play a pivotal role in shaping our sales and demand planning functions. This individual will be responsible for building and managing a comprehensive suite of Power BI tools and dashboards to analyze various data sources, including syndicated (e.g., Nielsen/IRI), shipment, and internal sales data. Your work will provide the critical insights needed to drive strategic decision-making, optimize sales performance, and unlock new growth opportunities., + Design, develop, and maintain a robust suite of Power BI dashboards and reports to visualize key performance indicators and trends for syndicated and shipment data.

 + Partner with Sales, Marketing, Finance, and Operations teams to understand their data needs and deliver analytics solutions that support their objectives.

 + Improve and automate data processes and workflows, including data collection, validation, and integration across multiple sources

 + Continuously evaluate and improve our data analytics capabilities, tools, and processes to drive efficiency and effectiveness.

 + Translate complex analyses into clear, compelling narratives for business stakeholders


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