Applied AI & Analytics Associate - Office of the CEO

SharkNinja•Miami, FL

About The Position

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. Applied AI & Analytics Associate, Office of the CEO 1 Open Role | Miami, FL | Office of the CEO — 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 Associate to sit inside the Office of the CEO. 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 the VP, Chief of Staff to the CEO and senior 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. You will be an analytics and AI professional embedded in the Office of the CEO, 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. This is a hands-on role 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. SharkNinja is one of the fastest-growing consumer product companies in the world. We operate with the intensity of a startup and the scale of a global brand — and the Office of the CEO is where the most important, cross-cutting work gets done. This role gives you direct exposure to how a company at this scale makes decisions, solves hard problems, and keeps moving. You will not be on the sidelines. You will be in the room. You will work across the entire company, not in service of a single function. If you want a role where you can see the impact of your work — where you're not just producing output but driving outcomes — and where you're building capability that others actually use, this is it.

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 the VP and Chief 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