SharkNinja
Retail
Analyst,RetailExcellence
Neural analysis suggests this role is
optimal for Entry candidates.
“Analyst, Retail Excellence at SharkNinja. Skills: Python, SQL, Power BI, Airtable, data pipelines, automation. 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”
What You'll Achieve.
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
Industry & Context.
analytically curious; translate raw data into insights that inform decision-making; help turn manual, time-intensive processes into scalable, repeatable systems; Identify opportunities to automate recurring manual processes
What They're Looking For.
Must Have
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), Working knowledge of 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, attention to detail, ability to work with large, messy datasets, Good communication skills—able to summarize findings clearly for non-technical audiences
Nice to Have
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)
What You'll Do.
Support the development and maintenance of automated reporting pipelines using Python
and Airtable scripting
Manage the day-to-day production of the Weekly Business Analysis Report—data extraction
Help build and update Bottom 5/20 SKU performance dashboards on a weekly and monthly cadence
Assist in translating raw retail data (POS
retailer scorecards) into structured summaries for leadership review
Support the expansion of SKU and category analysis across retailers to improve performance visibility
Support the administration and maintenance of SharkNinja’s Airtable environment across Retail Excellence
Help build and maintain automations
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
and governance protocols
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
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
How You'll Work.
Team & Collaboration
working closely with team leadership to translate raw data into insights that inform decision-making; supporting the build-out, maintenance, and governance of the bases, automations, and integrations that teams across the organization rely on daily; supporting teams across the Americas operate faster and smarter; supporting the team’s expanding platform needs as SharkNinja scales across the Americas; stakeholder distribution; supporting Retail Excellence, Trade Merchandising, and adjacent teams; Coordinate with Simple Stack (integration agency) on Snowflake-to-Airtable data pipeline tasks as directed
Communication Scope
able to summarize findings clearly for non-technical audiences
Full Job Description
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. 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. This role also serves as a key contributor to SharkNinja’s Airtable platform—supporting the build-out, maintenance, and governance of the bases, automations, and integrations that teams across the organization rely on daily. The right candidate is analytically curious, detail-oriented, and motivated by the opportunity to learn and grow inside a fast-moving, systems-driven team. 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
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