SharkNinja logo
SharkNinja
Posted 144 days agoVerified live 11h ago

Applied AI & Analytics Associate Opportunities

Brief overview

Needham, MAIn-person
$100k–$125k/yrStated range
2+ yrsMinimum
86 H-1B approvalsDept. of Labor
19 green cardsCertified filings
Structured problem-framingData modelingBuilding analytical modelsUsing LLMsAI automationMachine learningPerformance trackingDashboard developmentDecision-support toolsSQLPythonTableauPower BILookerData manipulationScalable analytical solutionsPresenting findings to senior stakeholders

About the company

SharkNinja logo
SharkNinjasharkninja.com

A global product design and technology company.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
86H-1B approved
99%approval rate
35new H-1B hires
19PERM certified
$120,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202315
202426
202537
20268
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20235
20247
20253
20264
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20234
20246
20259
Top sponsored roles
Sr. Program ManagerSenior New Product Development (NPD) Quality EngineerSr. New Product Quality Engineer - Ninja Product DevelopmLead Test EngineerProduct Safety Engineer
Sponsored employees from
IndiaChinaNigeriaMexicoSouth Korea

Job description

Summary

SharkNinja is a global product design and technology company known for its innovative lifestyle solutions. The Applied AI & Analytics Associate will work across various functions to leverage data and AI for decision-making, collaborating with senior leaders to address critical business challenges and enhance performance tracking.

Responsibilities

  • Partner with VPs and Chiefs of Staff on analytical questions that require structured problem-framing, data modeling, or clear recommendations
  • Contribute to multi-week analytical initiatives from scoping through delivery, working with senior stakeholders on managing expectations and timelines
  • Build and maintain dashboards, decision-support tools, and analytical models that help senior leaders operate more effectively
  • Use LLMs, AI automation, or machine learning to accelerate your own analysis and help other teams do the same
  • Identify gaps in how the company tracks performance and propose practical improvements in collaboration with finance, operations, and product teams
  • Work with teams to adopt analytical approaches or tools, contributing to broader adoption and impact
  • Introduce better analytical methods and tools to raise the quality and consistency of output across teams
  • Communicate findings clearly to senior stakeholders — translating complex analysis into straightforward recommendations that connect to business outcomes
  • Connect the dots between data from multiple functions to surface insights no single team could see on their own
  • Help support and review work from junior analysts or co-ops, contributing to their development

Skills

  • 2+ years of experience in analytics, data science, or consulting with a demonstrated track record of analytical delivery
  • Hands-on experience deploying or building with LLMs, generative AI, or automation tools — not just familiarity, but practical usage in real work
  • Strong working command of SQL and Python — you pull and manipulate data directly and can build scalable analytical solutions
  • Proficiency building dashboards and analytical tools (Tableau, Power BI, Looker, or similar)
  • Clear communication skills — you can present findings to senior stakeholders and explain complex analysis in plain language
  • Demonstrated ability to take an ambiguous business question and structure a complete analytical approach
  • Experience managing multiple workstreams and delivering against timelines with limited oversight
  • Previous project or program management experience — managing scope, timelines, and cross-functional coordination
  • Understanding of impact orientation — you connect your analytical work to business results and can articulate what changed because of your analysis
  • Experience contributing to adoption — you've worked on building or improving a tool, process, or approach that a team has used; you're learning what it takes to drive change
  • Background in consumer products, retail, or e-commerce — you understand margin dynamics, go-to-market, and how these businesses scale
  • Experience with advanced statistical methods — experimentation, time-series analysis, or applied ML
  • Hands-on experience with large-scale data infrastructure — designing data pipelines, working with modern cloud platforms (Snowflake, BigQuery, Databricks)
  • Prior exposure to working alongside executive or senior leadership teams
  • Experience identifying and solving systemic problems — moving beyond answering a single question to fixing how a team or function operates

Qualifications

Must Haves

  • 2+ years of experience in analytics, data science, or consulting with a demonstrated track record of analytical delivery
  • Hands-on experience deploying or building with LLMs, generative AI, or automation tools — not just familiarity, but practical usage in real work
  • Strong working command of SQL and Python — you pull and manipulate data directly and can build scalable analytical solutions
  • Proficiency building dashboards and analytical tools (Tableau, Power BI, Looker, or similar)
  • Clear communication skills — you can present findings to senior stakeholders and explain complex analysis in plain language
  • Demonstrated ability to take an ambiguous business question and structure a complete analytical approach
  • Experience managing multiple workstreams and delivering against timelines with limited oversight
  • Previous project or program management experience — managing scope, timelines, and cross-functional coordination
  • Understanding of impact orientation — you connect your analytical work to business results and can articulate what changed because of your analysis
  • Experience contributing to adoption — you've worked on building or improving a tool, process, or approach that a team has used; you're learning what it takes to drive change

Nice to Haves

  • Background in consumer products, retail, or e-commerce — you understand margin dynamics, go-to-market, and how these businesses scale
  • Experience with advanced statistical methods — experimentation, time-series analysis, or applied ML
  • Hands-on experience with large-scale data infrastructure — designing data pipelines, working with modern cloud platforms (Snowflake, BigQuery, Databricks)
  • Prior exposure to working alongside executive or senior leadership teams
  • Experience identifying and solving systemic problems — moving beyond answering a single question to fixing how a team or function operates

Benefits

  • 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
  • Back-up child and eldercare days
  • Product discounts
  • Referral bonus program
  • Competitive health insurance
  • Retirement plans
  • Paid time off
  • Employee stock purchase options
  • Wellness programs
  • SharkNinja product discounts
  • High impact Learning Programs featuring bold voices redefining what’s possible

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