Senior Analytics Engineer

About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more. About this Role Mixpanel is seeking a data-driven and strategic Senior Analytics Engineer to join our growing Analytics team. This role is essential to scaling our analytics capabilities across GTM, Post-Sales, and Product functions. You will work closely with cross-functional stakeholders including software engineers, data scientists, product leaders, and go-to-market teams to build scalable data infrastructure and deliver high-quality, trustworthy datasets that power impactful decision-making. As a Senior Analytics Engineer, you'll lead initiatives to clean and own product utilization pipelines, enhance customer data platform (CDP) infrastructure, and reduce operational friction across teams by enabling self-serve analytics. This is a high-impact role with the opportunity to shape Mixpanel’s analytics function over the next several quarters and beyond. Responsibilities Data Infrastructure Ownership: Lead the design, build, and maintenance of data pipelines that power GTM attribution, account health, ROI, and product usage analytics. Enable Self-Serve Analytics: Collaborate with stakeholders to produce clean, structured datasets that simplify access and analysis for GTM and Product teams. CDP Development & Trust: Augment and improve our customer data platform (CDP), ensuring data accuracy and completeness for downstream consumers. Cross-Functional Partnering: Translate ambiguous stakeholder needs into data models and dashboards that support strategic business decisions. Data Quality & Governance: Establish trust in data through testing, validation, documentation, and quality monitoring. Strategic Projects: Drive medium- to long-term roadmap initiatives that reduce data science dependency and improve product metric reliability. We're Looking For Someone Who Has Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Engineering, or a related discipline. 5+ years of experience in analytics engineering, data engineering, or similar roles. Hands-on experience with dbt (DBT Core + Github Actions) for modern data transformation and modeling workflows. Expertise in SQL, including writing efficient and complex queries for large-scale data transformation and modeling. Proficiency in Python for data transformation, automation, and workflow orchestration. Experience with collaborative software development practices including version control (Git) and CI/CD pipelines. Hands-on experience in ETL/ELT pipeline development and data modeling (e.g., star/snowflake schemas). Familiarity with data warehousing platforms like BigQuery, Snowflake, or Redshift. Strong communication skills and experience working cross-functionally with both technical and non-technical partners. A proactive, collaborative mindset and the ability to work autonomously in ambiguous environments. Comfort navigating stakeholder priorities in a high-growth startup environment. Bonus Points For Familiarity with product analytics and user behavior metrics. Experience with using and/or implementing Mixpanel. Exposure to data ingestion tools like Fivetran, Airbyte, etc. Experience building or maintaining CDPs or event-driven pipelines. Prior work supporting GTM, sales, or customer success teams with analytics. A passion for multiplying the impact of data science by reducing overhead and increasing data accessibility. Outstanding technical writing skills. Compensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here . Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information. Mixp