Retail Excellence Systems & Analytics Co-op
Listed on 2026-01-17
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IT/Tech
Data Analyst, Digital Marketing
About Us
Shark Ninja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed Shark Ninja to enter multiple product categories, driving significant growth and market share gains.
Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.
February 2026 to July 2026
Location & ScheduleThis is a full-time, 40-hour-per-week position with a minimum of 4 days per week onsite in Needham, MA with the remaining days worked remotely. There is no relocation or housing assistance for this position.
Compensation RangeRanges from $26/hr - $35/hr specific compensation is set according to a standardized scale aligned with your educational level at the time of hire.
Hourly Pay Range$17 – $44 USD
Join the Shark Ninja Early Edge ExperienceBuilt for early career talent. Geared toward impact. Driven by speed. Whether you’re in a co‑op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast‑paced professional environment. You’ll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you’ll benefit from professional development opportunities, community events, and connections that make your experience well‑rounded and enriching.
Your time with us will culminate in an opportunity to showcase your contributions and learnings to Shark Ninja leaders because this is a program for those ready to shape what’s next — fast.
The Retail Excellence Systems & Analytics Co‑op will play a key role in supporting Shark Ninja’s Global Retail Excellence (GRE) organization through advanced data analytics, digital system development, and workflow optimization. This position supports our mission to drive retail execution excellence across the globe — ensuring the right data, tools, and insights are available to enable high‑performing field teams, trade marketing initiatives, and sales operations.
Key ResponsibilitiesYou’ll collaborate with leaders across Sales, Brand, Trade Marketing, Retail Activation, and Operations to enhance and maintain our digital ecosystem — including Airtable, Power BI, Jira, and Salesforce. Your work will help centralize information, improve data integrity, and create real‑time visibility into the performance of brand ambassador programs, merchandising continuity efforts, in‑store service deployments, and trade marketing campaigns.
Data Analytics & Visualization
- Build and manage Power BI dashboards and Airtable interfaces to visualize retail sales trends, program performance, and ROI metrics.
- Analyze data to identify patterns and insights across in‑store service, merchandising, and field marketing programs.
- Contribute to quarterly business reviews and leadership scorecards by providing data‑backed performance summaries.
Program Systems Management
- Develop and maintain Airtable databases to track project milestones, deployment status, and retailer program data.
- Support enhancements to Shark Ninja’s One Version of Truth (OVoT) architecture by optimizing data structure and automation flows.
- Use Jira and Salesforce for workflow tracking, data integration, and system reporting.
Cross-Functional Collaboration
- Partner with teams across Sales, Brand, Trade Marketing, and Field Operations to translate data into actionable insights that improve retail readiness.
- Support cross‑market data consistency and integrity for global retail reporting.
- Collaborate with IT and analytics partners to maintain system health and ensure alignment between platforms.
- Education: Must be currently enrolled in an associate’s, bachelor’s, master’s, or doctoral program, or have graduated within the past year.
- Preferred academic coursework in Data Analytics, Information Systems,…
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