Job description

Blueland is reimagining everyday cleaning essentials with safe, products that are free from single-use plastic and eliminate the need to choose between what’s safe for your family, good for the planet, and proven to work. With 45 patents granted & 39 patents pending worldwide, Blueland’s innovative products have diverted over 1 billion single-use plastic bottles from landfills and oceans and 7.5 million pounds of CO2 from the atmosphere since 2019. While traditional cleaners are packaged in plastic and may contain up to 95% water, all Blueland products utilize tablet or powder formats, designed to be used directly or mixed with household tap water, and come in compostable or recyclable packaging. From the kitchen sink to the laundry room, we create products families can trust and afford to use over and over (and over) again. Available on Blueland.com and nationwide at Target, Costco, Whole Foods and select local retailers. In a world where half of the planet’s carbon emissions come from just 36 companies , we believe that business should be a force for good and that mission and profit are not mutually exclusive—in fact, we’re proof of it. We’re committed to holding ourselves to the highest parental and environmental standards—which includes ongoing and unbiased certifications from trusted third-party organizations like Cradle to Cradle, EPA Safer Choice, USDA BioPreferred, Leaping Bunny, and EWG Verified. We’re also a Certified Climate Neutral business and certified B Corp “Best for the World.” Blueland was featured on the Season 11 premiere of Shark Tank and successfully secured an investment. We’re also well-funded by top tier venture capital firms as well as notable investors including Gwyneth Paltrow, Justin Timberlake and founders of Sweetgreen, Thrive Market, Honest Company, Rent the Runway, and Bonobos. Our products have been featured across top tier outlets including the New York Times , Fast Company , TechCrunch , VOGUE , Wall Street Journal , Inc. , and more. About the Role Blueland is hiring a contract Data Analytics Engineer to backfill the Director of Data Management & Analytics' workload full-time during a maternity leave from December 2026 through May 2027. This is an individual contributor role (no direct reports, no team management) reporting to the team's Senior Analytics Engineer. The role keeps recurring data operations running and maintains existing Looker/LookML infrastructure while the Director is on leave. Responsibilities Build, update, and maintain dashboards and reporting in Looker (LookML development across new and existing explores/dashboards). Support the Sr. Analytics Engineer with ad hoc analyses and forecasting work. Help clean up and maintain the LookML/GitHub codebase. Manage our sales pacing methodology, ensuring recurring manual inputs and refreshes stay current across channels. Handle day-to-day Data QA/UAT with our managed service data vendor. Provide support for board data requests and recurring reporting sends to external partners. Manage external vendor bi-weekly agenda and monitor workflow health. Provide support, such as drafting materials, for quarterly planning + OKR prep. Qualifications Bachelor’s or Master’s in Statistics, Economics, Computer Science, or a related field. 5+ years in analytics, ideally within DTC, eCommerce, or CPG. Hands-on LookML and Looker development experience (explores, views, derived tables). Strong SQL and comfort working in Snowflake/Looker. Experience managing external data vendors and troubleshooting data discrepancies. Comfort working in Git/GitHub for version control. Strong documentation skills, able to produce clear reference and handoff materials. Able to work independently with light oversight and navigate ambiguity in a lean data team. Available 40 hours a week from December 2026 through May 2027. Additional Skills Working knowledge of Python and Hex (or a similar notebook tool). Experience with statistics and forecasting/modeling techniques. Familiarity with Notion and AI tools, such as Claude. Hourly Rate The rate for this position is $150-175 per hour. We prioritize our planet and our people. In addition to salary compensation, we offer various other benefits to ensure our team members can be their best self, both in and outside of work. Benefits for full time roles include: health benefits, stock options, generous paid time off, paid holidays, paid civic engagement days, paid parental leave, 401k (employee contribution), professional development stipends, remote work reimbursements, various discounts to like-minded companies and more. At Blueland we believe in order to build a better future and planet, we must advocate for diversity, equity and inclusion. We are proud to have assembled a diverse team and strongly encourage you to apply even if you don’t meet every qualification. View our California Personnel and Applicant Privacy Notice .

Requirements

Must-haves

Build, update, and maintain dashboards and reporting in Looker (LookML development across new and existing explores/dashboards).
Support the Sr. Analytics Engineer with ad hoc analyses and forecasting work.
Help clean up and maintain the LookML/GitHub codebase.
Manage our sales pacing methodology, ensuring recurring manual inputs and refreshes stay current across channels.
Handle day-to-day Data QA/UAT with our managed service data vendor.
Provide support for board data requests and recurring reporting sends to external partners.
Manage external vendor bi-weekly agenda and monitor workflow health.
Provide support, such as drafting materials, for quarterly planning + OKR prep.
Bachelor’s or Master’s in Statistics, Economics, Computer Science, or a related field.
5+ years in analytics, ideally within DTC, eCommerce, or CPG.
Hands-on LookML and Looker development experience (explores, views, derived tables).
Strong SQL and comfort working in Snowflake/Looker.
Experience managing external data vendors and troubleshooting data discrepancies.
Comfort working in Git/GitHub for version control.
Strong documentation skills, able to produce clear reference and handoff materials.
Able to work independently with light oversight and navigate ambiguity in a lean data team.
Available 40 hours a week from December 2026 through May 2027.
Additional Skills
Working knowledge of Python and Hex (or a similar notebook tool).
Experience with statistics and forecasting/modeling techniques.
Familiarity with Notion and AI tools, such as Claude.
The rate for this position is $150-175 per hour.
View our California Personnel and Applicant Privacy Notice .

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonai

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

401k

Paid Time Off

Parental Leave

Professional Development