Responsibilities

• Build a holistic view and understanding of the marketing spend, channel performance and attribution.
• Develop mechanisms to build audiences and segments to optimize channel and campaign performance.
• Explore, validate, and build high value datasets to power business intelligence and marketing strategies.
• Iterate on our complex channel attribution logic and methodologies; make sure they are up-to-date and effective as we grow.
• Design robust experiments including incrementality tests and measure the tests with actionable metrics and learnings.
• Drive metrics standardization and build consensus with marketing and other stakeholders.
• Establish Looker as a primary data reporting and analytics tool. Build modular data models in Looker for efficient and sophisticated data analysis.
• Drive data modeling requirements for analytics and data engineers.
• Champion opportunities for advanced analytical techniques to further our understanding of our customer and business and to improve business results (e.g., segmentation predictive modeling).
• Help team(s) quantify their goals and KPIs/OKRs.

Requirements

• Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field.
• 3+ years of experience as a data analyst for 3, ideally in B2C, financial services, or technology.
• 1+ years of working in acquisition/growth marketing domain (preferably in a B2C company)
• Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc).
• Proficient in utilizing data visualization tools like Looker, Tableau, or other similar platforms.
• Excellent analytical and problem-solving skills with a strong attention to detail.
• Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences.
• Strong business acumen and the ability to translate business questions into data analysis plans.
• Experience with A/B testing and experimental design.
• Working experience with Python for data analysis.

Preferred

• Experience modeling data in dbt
• Experience working within Fintech, Financial Services, Banks

Benefits

• Competitive salary
• Meaningful equity in the form of stock options
• 401(k) plan
• Discretionary performance bonus program
• Biannual performance reviews
• Medical, Dental and Vision premiums covered at 100% for you and your dependents
• Flexible time off and paid holidays
• Generous parental leave policy
• Commuter benefits
• Fitness benefits