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Lead/Staff Business Analyst - Multiple Roles

Shopify
Full-time
Remote
United States
Software/ IT

We're looking for Lead/Staff Business Analysts to join our Data Insights team and help shape Shopify's future. This isn't about creating reports that gather digital dust—it's about transforming complex data into insights that drive real decisions across our business.

As a Lead/Staff Business Analyst, you'll be the vital link between intricate data and pivotal business moves. Immerse yourself in key metrics and weave narratives that empower teams across Shopify to turn strategies into actionable victories. Collaborate across our data organization, transforming raw numbers into robust products that enhance outcomes for merchants, partners, and Shopify alike.

We're hiring across multiple teams and multiple levels here at Shopify including roles across these spaces: Growth Analytics Market Insights, Commercial Analytics, Support, Finance Data, and Executive Insights to name a few.

Note: Once you’ve applied to this posting, our recruiters and hiring managers will review your resume for open roles. We want to keep this simple for you: apply once and multiple teams will review your resume to make sure we find the best matches for the right roles.

What You’ll Do:

  • Craft data-driven stories from complex datasets to influence business decisions.
  • Serve as the expert on business metrics, partnering with leaders on strategic initiatives.
  • Translate data into actionable insights, driving tangible results.
  • Lead analytical challenges from start to finish, leveraging research and dashboards.
  • Monitor metrics, identify trends, and deliver impactful findings.
  • Elevate data literacy across Shopify, fostering data-informed decision-making.
  • Develop robust data reporting and analysis solutions.

What You Bring to the Team:

  • A rare knack for weaving compelling data tales, written and visual, that resonate across varied audiences and spark action.
  • Experience deciphering the "why" behind numbers for informed decision-making.
  • Mastery of SQL for crafting complex queries and optimizing workflows.
  • Demonstrated experience with dashboards (LookerStudio, Tableau, Power BI).
  • Track record of turning insights into actionable recommendations.
  • Agility in managing multiple projects and responding to urgent data requests.
  • Strong statistical knowledge, including regression analysis, hypothesis testing, and predictive modeling.

Nice to have:

  • Proficiency in data analysis tools like SPSS, R, or Python for robust analysis.
  • Ecommerce experience