Applied AI & Analytics Associate Opportunities

SharkNinja•Needham, MA

1d•Onsite

About The Position

SharkNinja is a global product design and technology company. We are hiring an Applied AI & Analytics Associate. This is a problem-solving role where you will work directly alongside leaders across the company to crack open the problems that matter most and turn them into decisions that drive the business forward. If you thrive in ambiguity, build before you're told to, move fast across functions, and believe that a clean insight delivered fast beats a perfect deck delivered late — read on.

Requirements

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

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