Firework is the world's leading immersive "shoppertainment" platform with shoppable video, live streaming commerce, and monetization capabilities powering over 600 direct-to-consumer brands, retailers and media publishers worldwide. Firework enables its customers to create and host native, shoppable video content for engaging product discovery, seamless shopping experiences and ultimately, a deeper emotional connection with consumers. Pandemic-accelerated, Firework has experienced 10x year-over-year growth, bringing TikTok-like interactive video experiences, all by adding just one line of HTML code to customers’ own websites. Our team more than doubled in size in the last 18 months to about 300 people strong in several countries including the US, Japan, India, Poland, Brazil, and Canada with backgrounds in technology, media, and entertainment. At heart, we’re an inspirational and diverse team of creators, entrepreneurs, storytellers, and data geeks driven by the future of video transforming eCommerce. The company has raised over $235M to date, with its latest Series B round led by SoftBank Vision Fund 2.

 

Summary

Our engineering team is growing! We’re looking for passionate individuals to join us and use analytical skills to address business objectives and drive performance and quality across all data pipelines and products.

 

What you'll be doing

  • [Data Modeling & Design] You will be working with Business, Product and Engineering teams to design, document and implement data tracking and modeling for product features
  • [Data Pipeline & ETLs] You will be responsible for building data pipelines using SQL and/or Python, and creating tables and views for business reporting and analysis needs. You are not only expected to construct datasets that are useful and scalable, but also are expected to make constant changes to existing and new data pipeline jobs to reflect new business requirements and optimize pipeline performance
  • [Ad Hoc Analyses] You will be responsible for providing analytical insights to empower Sales, Marketing, Product and Engineering teams
  • [Data Integrity & Data Bug Investigations] You will be responsible for monitoring, investigating and driving intra-team communications on data issues
  • [A/B Testing Design & Executions] You will be responsible for designing and performing A/B testings to track outcomes of recommendation engine video content suggestions, be able to make sense of the testing data and constantly adjust concurrent tests and strive to optimize the recommendations towards the set KPI metrics
  • Designing high-performance RESTful web services serving terabytes of data per day
  • Responsible for designing, developing, and implementing our backend and machine learning data infrastructure, including event-based data ingestions, stream processing, data warehouse, data pipelines, visualization, analytics and applications
  • Develop and maintain distributed data pipelines for ETL, feature engineering, and model running
  • End-to-end data processing, troubleshooting, and problem diagnosis, performance benchmark, load balance, and code reviews

 

We'll be excited if you have

  • BS or MS in a quantitative field (statistics, mathematics, economics, finance, operations research, etc.)
  • 3 to 5+ years experience Data Analyst roles providing insights into products and user behaviors to other teams to unlock business potentials
  • Attention to detail and bias to action: pursue data quality, troubleshoot data validation, and see issues to resolutions
  • Experience partnering with data engineering to develop high data integrity, automated reporting and insightful ad-hoc analyses that illuminate traffic volume, consumer engagement, funnel interaction, conversion rates opportunities within acquisition and product flows
  • A proven problem solver who can quickly assess quantitative data sets and distill key insights using analytics and statistical methods
  • Familiar with data analytics platforms such as Looker or Tableau
  • Outstanding communications skills with both technical and non-technical colleagues.
  • Experience highly proficient in SQL

 

BIG PLUS if you have

  • Experience with big data technologies such as SparkSql, Athena, or Druid
  • Proficient experience  in Python 
  • Experience on data management platform (DMP)

 

The role may be hybrid in one of our offices or remote. For remote, we are looking for candidates based in the United States or Canada.

 

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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