BI Analyst

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. About the Role As we continue to expand our data and AI capabilities, we are seeking a Data Automation & AI Analyst to join our Global Automation and Visualisation team. This position is based in the UK and is a key contributor to our mission of embedding intelligent automation and AI-driven reporting across the business. Reporting to the Analytics Director, the Data Automation & AI Analyst will be responsible for building and maintaining scalable data pipelines, automating reporting workflows, and developing AI-assisted solutions that deliver fast, reliable insights across key commercial functions. This role is ideal for a technically strong, forward-thinking individual who is passionate about automation, AI tooling, and data engineering — and who wants to be at the forefront of how we use technology to drive smarter, faster decision-making. What You'll Do Data Engineering & Pipeline Development - Design, build, and maintain SQL-based data pipelines within Snowflake to consolidate and transform data from multiple sources including POS, retail, and internal systems. - Ensure data accuracy, consistency, and integrity across reporting datasets. - Use Python to automate recurring data processes, reducing manual effort and improving the reliability and speed of data delivery. - Identify and resolve data quality issues, working with upstream data owners to implement lasting fixes. - Explore and implement AI-assisted approaches to data transformation, anomaly detection, and process automation. Reporting & Data Infrastructure - Build, maintain, and enhance Power BI dashboards and recurring reports to provide clear visibility into commercial and financial KPIs. - Develop and document reusable data models and reporting assets that can be leveraged across the business. - Produce daily, weekly, and monthly performance reports covering sales, distribution, pricing, and promotions using SQL and Power BI. - Support cross-functional teams by delivering reliable, well-structured data to sales, marketing, and operations. - Contribute to the development of a self-service analytics environment, enabling teams to access AI-powered insights with minimal technical support. AI & Automation Innovation - Identify opportunities to integrate AI tools and large language models (LLMs) into existing data workflows and reporting processes. - Support the adoption of Microsoft Copilot and other AI-assisted tools within the analytics function. - Contribute to the development of automated insight generation, helping the business move from manual reporting to intelligent, always-on data products. - Stay current with developments in AI and data automation, bringing new ideas and approaches to the team. Cross-Functional Collaboration - Partner with sales, marketing, finance, supply chain, and demand planning teams to understand data needs and deliver fit-for-purpose automated solutions. - Contribute to ad-hoc data requests in response to business questions or performance fluctuations. - Translate complex technical work into clear, accessible outputs for non-technical stakeholders. Our Culture At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.