Honey is a fast-growing startup based in Los Angeles. Our online shopping platform offers users a smarter way to shop. Through a simple browser extension, we open up instant access to exclusive savings, deals, rewards and discovery, all powered by the collective knowledge of Honey’s community of online shoppers. We are helping millions save when they shop online, and we're hiring! We are actively seeking a Director of Analytics to join the Engineering Team in our Los Angeles office.

About the Role:

As the Director of Analytics at Honey, you will be responsible for shaping how we think about data internally. You will lead the Product Analytics team and will partner with the Product and Engineering to design, implement and scale business intelligence solutions. Data plays a significant role in decision-making at Honey and you will lead strategies around how data is effectively collected, interpreted and transformed into actionable information. This position reports directly to the VP of Product.

What You'll Do:

As the Director of Analytics at Honey, you will:

• Own our Data and Product Analytics strategy
• Lead and coach the analysts to ensure the team addresses the growing data needs and the analysts could excel in their careers
• Serve as a business intelligence subject matter expert
• Collaborate across the organization to help fuel growth and optimization
• Partner with the executive team to highlight data that can inform business decisions
• Lead the architecture of how we collect, measure, analyze and take action on data
• Ensure and improve data integrity, data accuracy, and data quality
• Research, identify, evaluate, recommend and implement best practices for data technologies and processes as well as new data sources to enhance analytics

About You:

(Preferred, not Required)

• A Bachelor’s degree in a related field
• 5+ years of experience in data analytics with data warehouses and ETL
• 3+ years of managing teams
• Expert experience with SQL for data transformations, profiling, and query tasks
• Experience with statistical and machine learning tools like Python, R, SAS, etc
• Experience with open-source big-data tools such as Spark, Hive, HBase, Parquet, Hadoop, HDFS, map-reduce, etc
• Experience with cloud platforms like Google Cloud, AWS, etc
• Experience with data visualization and BI tools like Periscope, Tableau and Looker
• Experience with web analytics products like Google Analytics, Omniture, Snowplow, etc
• Excellent communication skills

Honey is an equal opportunity employer. We are committed to building a diverse and inclusive company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.