ANALYST, RETAIL EXCELLENCE

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. Analyst, Retail Excellence Role Summary The Analyst, Retail Excellence is a hands‑on analytics role supporting the development, automation, and maintenance of reporting pipelines, dashboards, and data infrastructure across SharkNinja’s Retail Excellence and Trade Merchandising teams. This person will help turn manual, time‑intensive processes into scalable, repeatable systems—working closely with team leadership to translate raw data into insights that inform decision‑making. Mission Support the analytics and data infrastructure that powers Retail Excellence—contributing to automated reporting, platform maintenance, and data‑driven insights that help teams across the Americas operate faster and smarter. Why This Role Exists SharkNinja’s Retail Excellence function has proven the value of embedding analytics and automation into daily operations. What began as a co‑op initiative has grown into a capability that multiple teams now depend on—Airtable automations replacing legacy Excel trackers, Power BI dashboards informing weekly business reviews, and Python‑powered pipelines reducing hours of manual reporting. This role formalizes that capability into a dedicated, full‑time position to continue building out the analytics ecosystem and support the team’s expanding platform needs as SharkNinja scales across the Americas. Key Outcomes (First 12 Months) Support the transition of recurring reports (SKU performance, OVOT, retailer dates) onto automated pipelines Assist in building and maintaining the Snowflake‑to‑Airtable data pipeline to improve data accuracy across bases Take over day‑to‑day production of the Weekly Business Analysis Report, transitioning it in‑house from Mosaic Help build and maintain Power BI dashboards for Bottom 5/20 SKU tracking and stakeholder distribution Support deployment of the Event Expense Automation App (Streamlit + Python) for Concur‑to‑Airtable processing Contribute to Airtable platform governance—user group maintenance, access requests, and base documentation Help expand SKU analysis coverage across additional retailers for broader performance visibility Core Responsibilities Analytics & Reporting Support the development and maintenance of automated reporting pipelines using Python, Power Automate, Power BI, and Airtable scripting Manage the day‑to‑day production of the Weekly Business Analysis Report—data extraction, cleaning, formatting, and distribution Help build and update Bottom 5/20 SKU performance dashboards on a weekly and monthly cadence Assist in translating raw retail data (POS, sell‑through, inventory, retailer scorecards) into structured summaries for leadership review Support the expansion of SKU and category analysis across retailers to improve performance visibility Airtable Platform & Systems Support the administration and maintenance of SharkNinja’s Airtable environment across Retail Excellence, Trade Merchandising, and adjacent teams Help build and maintain automations, interfaces, and integrations that replace legacy Excel and SmartSheet workflows Assist with Airtable access and license management—processing user group requests, maintaining permission tiers, and tracking license utilization Help deploy accountability automations (e.g., daily nudges for missing entries, review checkbox workflows) to support data hygiene Coordinate with Simple Stack (integration agency) on Snowflake‑to‑Airtable data pipeline tasks as directed Maintain documentation of base architecture, automation logic, and governance protocols Automation & Tool Development Help build and maintain the Event Expense Automation App (Streamlit + Python)—supporting Concur PDF scanning and Airtable data pushes Assist in developing automation workflows using Power Automate, Python, and Airtable scripting to reduce manual data entry Identify opportunities to automate recurring manual processes and flag them for team prioritization Leverage AI tools (Claude, Copilot) to support development work and expand personal productivity Qualifications Required Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, or related field 0–2 years of experience in analytics, business intelligence, or data operations (co‑op, internship, and academic project experience welcomed) Working knowledge of Python (pandas, basic scripting) and SQL Familiarity with Power BI or equivalent BI/visualization tools Familiarity with Airtable (base navigation, basic automations, data entry) Exposure to building or maintaining reporting workflows and data pipelines Strong attention to detail and ability to work with large, messy datasets Good communication skills—able to summarize findings clearly for non‑technical audiences Preferred Exposure to Snowflake or other cloud data warehouses Familiarity with Power Automate, Streamlit, or similar low‑code/no‑code automation tools Interest in or exposure to retail analytics (POS data, sell‑through reporting, category management) Experience with Concur or enterprise expense management platforms Background in or coursework related to CPG, consumer electronics, or retail environments Comfort working with AI‑assisted development tools (Claude, GitHub Copilot) Salary and Other Compensation Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. 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 Pay Range

$85,500—$104,500 USD

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at View email address on click.appcast.io #J-18808-Ljbffr SharkNinja France