Applied AI & Analytics Associate Opportunities

About Us   SharkNinja 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 SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.  AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Applied AI & Analytics Associate Data, Analytics & AI You Don't Wait to Be Asked. Neither Do We. At SharkNinja, we've built a culture around one simple belief: the best answer wins. Not the loudest opinion. Not the most senior voice in the room. The best answer — backed by data, delivered with clarity, and executed with urgency. We're hiring an Applied AI & Analytics Associates. This is not a support role. This is not a reporting role. This is a problem-solving role — one where you'll 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. What You'll Actually Do You will be an analytics and AI professional, contributing to high-impact analytical work across the company and contributing to how SharkNinja uses data and AI to make better decisions. This is not a single-team support role. You'll move across functions — working with product, operations, finance, supply chain, marketing — on whatever problems matter most to the business right now. On any given week, you might: 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 This is a hands-on role based in our Miami office with real ownership over analytical delivery and measurable business impact. You will work on complex problems with appropriate support from senior stakeholders and produce high-quality work. What It Takes to Win Here Must Have: 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 Even Better If You Have: 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 Tools & Stack Languages: SQL, Python (strong proficiency); R, Scala, or equivalent a plus BI & Visualization: Tableau, Power BI, Looker, or similar — deep proficiency