While our core team and headquarters are in Sacramento, California, we welcome remote workers from all over the country.
We've built a strong culture to foster valuable team relationships with both remote and California team members.
We host frequent trips during the year to bring the team together for extended periods of face-to-face time to build deeper relationships. Some examples of trips include our domestic excursions to San Diego, Newport Beach, and Lake Tahoe. Along with international trips to Costa Rica and Belize.
Driven by a passion of data and analysis, with a clear vision for how data can help inform and grow a business - you will lead our data and analytics initiatives. This role requires leadership skills required to grow and maintain a team of data engineers, scientists, and analysts.
Greatest Benefit to the Team:
You will provide direction and strategies for working with large amounts of raw data. The team will be responsible for the ingestion and analysis of disparate data sets from all areas of the company. By using solid architectural principals you will provide a foundation that allows for a solution that scales and is continuously improved.
Standardize data intake and processing
Ensure governance of raw data
Create a centralized data lake that is modeled to meet analysis requirements
Work with the product, operations and executive teams to create data enabled user journeys
Create a common data framework that can be leveraged by various organizational teams
Create a vision for how data can be used to guide the product and company
Collaborate with all functions of the company to ensure data needs are addressed and the required data is modeled and available to analysts and end-users.
Develop a roadmap for the data and analytics function that clearly defines ownership and responsibility between the central data function and the functional groups.
Postgraduate work or equivalent experience (Masters or PhD) in a quantitative field such as math, physics, computer science, statistics etc.
Minimum of 7 years experience in a senior leadership position managing an analytics team.
Knowledge of R, SQL and Python; familiarity with Go is an asset
Experience with managed AWS systems used for Data infrastructures (S3, Redshift, Glue, Lambda, Cloudwatch)
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop, Redshift)
Experience with open source data & analytics tools.
Experience working with multiple executive level business stake holders.
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Proficient knowledge of database and networked systems
Ability to communicate clearly and effectively
Salary & Benefits
Competitive salary with opportunities for growth and bonuses
401k with company match and equity pool opportunities
Blue Shield health care package, vision plan, and health savings account (HSA)
Dependent Care Flexible Spending Account (DCFSA)
Benevolence Fund for larger medical expenses
$1,200 annual mental health benefit
Connection Credits for team experiences
Participation in 3 company trips (including tropical summer experience with company & families)
10 vacation days (15 vacation days after 2 years), 5 sick days, 1 floating holiday, and 2 personal days