Senior Analytics Engineer

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Collaborate with product, business, and engineering teams to determine data requirements, establish metrics, and facilitate data-driven decision-making.

• Design, construct, and maintain scalable data pipelines and models that support analytics, reporting, and product insights.

• Create and oversee core datasets for financial and behavioral usage analytics, fostering a comprehensive understanding of customer behavior, product adoption, and business performance.

• Assist in defining, instrumenting, and validating product and business metrics, including those displayed on customer-facing dashboards.

• Promote enhancements in data quality, reliability, and observability, including taking ownership of SLAs for key pipelines.

• Work together with engineering teams to adapt data models in alignment with product modifications.

• Contribute to the establishment of our analytics layer (e.g., dbt models, semantic layer, metric definitions).

• Develop and maintain comprehensive technical documentation and data contracts.

⛳️ Requirements

• Over 5 years of experience in data-centric positions (Analytics Engineering, Data Engineering, or a related field).

• Extensive experience in data modeling for analytics, particularly concerning financial metrics and user behavior/product usage data.

• Proficient SQL skills and experience in designing well-structured, scalable data models.

• Experience in building and maintaining data pipelines within modern data ecosystems.

• Practical experience with Snowflake, Redshift, or BigQuery, and familiarity with dbt (considered a strong advantage).

• Familiarity with cloud platforms such as AWS, GCP, or Azure.

• Expertise in at least one programming language (e.g., Python or R).

• Experience using BI tools like Tableau or Looker and AI Analytics platforms such as Hex.

• Strong analytical skills with the capability to investigate data discrepancies and ensure data integrity.

• Effective communication skills with both technical and non-technical stakeholders, translating business requirements into data solutions.

🏝️ Benefits

• Comprehensive Medical/Dental/Vision coverage with 100% employer contribution, FSA, and HSA for qualified plans.

• Competitive salary plus meaningful equity.

• 401(k) retirement plan.

• Flexibility to work from anywhere in the US, with UberEats and Deskpass stipends provided by us!

• Generous annual stipend for Learning & Development and Productivity.

• Health and Wellness stipend.

• Unlimited PTO, 10 holidays, 4 personal volunteer days, 4 mental health days, and your birthday off.

• Paid parental leave.

• Subsidized National Parks Annual Pass.

• Subsidized Roller Skates (yes, you read that right).