Sr. Data Analyst

AI overview

Partner with cross-functional teams to transform complex data into actionable insights that drive strategic decisions and optimize business performance.
About Firework Join Firework – Where Innovation Meets Impact Firework is revolutionizing connected commerce with the world’s most advanced and largest AI-powered video commerce platform, trusted by global brands and leading retailers. We bring the energy of in-store experiences online, transforming how businesses engage, convert, and build lasting customer relationships. At Firework, you’ll be part of a high-growth, team-centric environment where innovation thrives and collaboration fuels success. Having raised over $235m to date led by investors such as the SoftBank Vision Fund 2 and operating at a global scale, we offer unparalleled opportunities to work cross-functionally, solve complex challenges, and drive meaningful impact in the future of connected digital commerce. If you’re curious, ambitious, and energized by big ideas, Firework is the place to grow, lead, and shape the next era of online shopping—together. Summary We’re looking for a Sr. Data Analyst to turn complex data into clear insights that drive strategic decisions across the business. In this role, you’ll partner with stakeholders across product, marketing, operations, success, and finance to uncover trends, optimize performance, and influence key business strategies. What you’ll be doing
  • Partner with business stakeholders such as sales and marketing to build, organize, and analyze business data and provide recommendations to drive growth, revenue, and retention
  • Build and maintain dashboards and insights or other visualization software to encourage self-service across business teams
  • Perform assessments and statistical analyses and validate clean data using a variety of business intelligence tools
  • Strategize and develop new trend and opportunity reports to boost and enhance business intelligence capabilities of the team to drive actionable insights
  • Support ongoing tracking, monitoring, and analyzing key performance indicators as defined by the business unit
  • Integrate with data engineering and solutions delivery teams to enable analytical reports to optimize product operations
  • Critically evaluate large data sets, assumptions, and information gathered from multiple sources
  • Work with the data engineering team to uncover unmet business needs using analytics and present findings to non-technical audiences
  • We’ll be excited if you have
  • Bachelor's degree in statistics, computer science or related field 
  • Minimum 3-5 years of experience in business analytics or business intelligence
  • Fluent in English
  • Must have strong business acumen; you’re able to translate data to the business
  • Demonstrated strong skills experience in data analysis and visualization
  • Experience working on data warehouse deployments, data management and reporting
  • Advanced knowledge of SQL
  • Preferred to know platforms like Sigma, Looker, or Tableau, etc.
  • Previous experience in DBT or other data transformation framework is a huge plus
  • Exceptional customer service and communication skills
  • Start-up mentality; able to flex and adapt quickly to changing, ambiguous environments
  • Locations

    This role is remote and we are looking for candidates based in Latin America. 

    Don’t hold back

    We understand some candidates may see the above and not apply because they don’t meet all the qualifications. We encourage you to apply anyway; we often find talented candidates that fit many other opportunities we have and look for potential too, not just what you did in the past.  As an equal employment opportunity employer, we are a diverse team that strives for an inclusive environment for all. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, age, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
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