Senior Analytics Engineer

Mixpanel • San Francisco, CA

8h

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Comprehensive Medical, Vision, and Dental Care
• Mental Wellness Benefit
• Generous Vacation Policy & Additional Company Holidays
• Enhanced Parental Leave
• Volunteer Time Off
• Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees