Analyst, Retail Excellence

About Us

SharkNinjais a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions that positivelyimpactpeoples lives in homes around the world. Powered by two trusted global brands Shark and Ninja the company has a proventrack recordof bringing disruptive innovation to market and developing one consumer product after another has allowedSharkNinjato enter multiple product categories driving significant growth and market share gains. Headquartered in Needham Massachusetts with more than4100associates the companys 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 SharkNinjas Retail Excellence and Trade Merchandising teams. This person will help turn manual time-intensive processes into scalable repeatable systemsworking closely with team leadership to translate raw data into insights that inform decision-making.

This role also serves as a key contributor to SharkNinjas Airtable platformsupporting 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 Excellencecontributing to automated reporting platform maintenance and data-driven insights that help teams across the Americas operate faster and smarter.

Why This Role Exists

SharkNinjas 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 onAirtable 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 teams 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 governanceuser 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 Reportdata 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 SharkNinjas 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 managementprocessing 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

Bachelors degree in Data Analytics Business Analytics Information Systems Computer Science or related field

02 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 skillsable 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)