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Market Insights Analyst

Job in Needham, Norfolk County, Massachusetts, 02492, USA
Listing for: SharkNinja
Full Time position
Listed on 2025-12-16
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 83880 - 102520 USD Yearly USD 83880.00 102520.00 YEAR
Job Description & How to Apply Below

Market Insights Analyst

Join Shark Ninja to apply for the Market Insights Analyst role.

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.

The Role

You’ll be a key member of the Insights team within the Commercial organization. You’ll transform complex datasets into clear narratives that uncover growth opportunities, inform strategy, and optimize execution across retailers and categories.

Key Responsibilities
  • Analyze retail, POS, and syndicated data to explain business performance and identify opportunities for growth.
  • Develop and maintain Power BI dashboards and recurring reports for category and sales teams.
  • Partner with Sales Strategy & Analytics, Marketing, and Category teams to evaluate pricing, promotion, and distribution performance.
  • Synthesize multiple data sources (retailer, syndicated, internal) into cohesive and actionable insights.
  • Support predictive and diagnostic analysis in collaboration with the Data Science team.
  • Deliver executive‑ready summaries and visualizations that translate data into clear business stories.
  • Leverage insights and AI models from Data Science to forecast specific segments of business and evaluate existing forecasts.
What You’ll Bring
  • 2–4 years of experience in business or commercial analytics (CPG, retail, or e‑commerce preferred).
  • Proficiency in SQL, Excel, and Power BI required.
  • Familiarity with POS and syndicated data (Amazon, Nielsen, Circana).
  • Strong analytical and storytelling skills; able to connect data to commercial outcomes.
  • Bachelor’s degree in Business Analytics, Economics, Marketing Analytics, or related field.
What Success Looks Like
  • Clear, consistent insights that guide commercial priorities and actions.
  • Simplified reporting processes and enhanced visibility into business performance.
  • A strong connection between data and decision‑making across commercial teams.
Skills & Tools

Power BI, SQL, Excel, Data Visualization, Business Performance Analytics, Retail & POS Data, Syndicated Data (Nielsen, Circana), Commercial Insights, Storytelling, Forecast Tracking, Category Analysis, Sales Performance.

Salary and Compensation

Annual salary range: $83,880 – $102,520 USD.

The Company offers medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short‑term disability insurance, long‑term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre‑paid legal insurance, backup child and eldercare days, product discounts, referral bonus program, and more.

Job

Details
  • Seniority level:
    Entry level
  • Employment type:

    Full‑time
  • Job function:
    Research, Analyst, and Information Technology
  • Industries:
    Appliances, Electrical, and Electronics Manufacturing
EEO Statement

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. Shark Ninja will consider reasonable accommodations consistent with legislation and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact Shark Ninja People & Culture at

Posting

This posting will close within 90 days from the original posting date.

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