Data Analyst, Consumer & Commercial Analytics Made by Gather - the company behind America’s fastest-growing kitchenware brands. Founded in 2003 by entrepreneur Shae Hong, Made by Gather makes super‑premium design and innovation accessible through our brands Beautiful by Drew® and bella®. We’ve spent 20+ years developing our special sauce. Summer Fridays Free access to fitness center with lockers and showers in office building Private courtyard Direct access to McGill metro station and REM station Adjacent to Time Out Market and other restaurants and retailers Dynamic environment surrounded by beauty; we provide coffee, drinks, and snacks If you’re looking for a workplace that values initiative, creativity, and results while providing tools to grow through learning and development programs, this is the place for you. About The Role Our teams make decisions daily using a wide range of data: sales, digital shelf, media, reviews, audience, brand equity, and surveys. They need fast, reliable answers to move forward. That’s where you come in. This role keeps the business running on data day-to-day. You’ll build recurring reports, answer one-off questions, and develop dashboards that enable self-service. You’ll also maintain our data foundation: metric definitions, documentation, quality checks, and privacy standards. You’ll work closely with data science and cross‑functional teams including marketing, sales, product, and insights. Every team relies on data. The analyst who owns reporting, dashboards, and the semantic layer has a major impact on decision‑making. You’ll gain exposure across brands, channels, and functions while building the foundation that enables speed and trust. Responsibilities Reporting, ad‑hoc analysis, and dashboards Own recurring deliverables like weekly/monthly scorecards, trackers, and leadership readouts. Ensure reports are accurate, timely, and clear; investigate discrepancies before sharing. Be the go‑to for ad‑hoc requests from brand, marketing, and commercial teams. Turn questions into insights using sources like Circana, Profitero, media platforms (Amazon, Walmart Connect, Target Roundel, Meta, TikTok), GWI, BERA, Yogi, and custom surveys. Build and maintain dashboards designed for usability; if it’s not used, it’s not effective. Handle ad‑hoc data pulls from the warehouse without needing full pipeline builds. Design, field, and analyze primary research (pulse checks, concept tests, pricing, messaging). Write questionnaires, set logic and quotas, and translate results into actionable insights. Own metric definitions and shared dimensions powering dashboards. Maintain a clear data dictionary so metrics are consistently understood. Document data sources, including scope, refresh cadence, and limitations. Build and run quality checks to catch errors before reports are shared. Maintain naming conventions and taxonomy across files and dashboards. Identify and resolve inconsistencies across reports. Handle consumer data in compliance with GDPR, CCPA, and internal standards. Qualifications 2–3 years of analytics, BI, or reporting experience, ideally with consumer, retail, CPG, or media data. Strong SQL skills; able to write clean queries using joins, CTEs, and window functions. Comfortable with Snowflake or similar cloud warehouses and performance considerations. Experience building dashboards in Power BI; Tableau or Looker also relevant. Experience combining multiple data sources into clear insights. Solid understanding of survey methodology and tools like Alchemer, Qualtrics, or SurveyMonkey. Familiar with techniques like conjoint, MaxDiff, and A/B testing. High attention to detail and accuracy. Clear written communication; able to translate data into insights. Service‑oriented mindset; dependable for stakeholders. Understands importance of documentation, naming, and data operations. Bonus Qualifications Experience with dbt (models, testing, dependencies). Experience with syndicated data sources (Circana/IRI, Profitero, GWI, BERA, Yogi, Kantar, SEMRush). Advanced quantitative research experience (conjoint, MaxDiff, van Westendorp, TURF) or A/B testing. Familiarity with retail media (Amazon Ads, Walmart Connect, Target Roundel) and/or digital platforms (Meta, TikTok, Google). Experience with data catalog/documentation tools. Awareness of data privacy frameworks (GDPR, CCPA). #J-18808-Ljbffr