Staff Analytics Engineer

Summary

Join Lithic's Analytics team as a Staff Analytics Engineer and become the bridge between our Finance team and data infrastructure. Partner with all divisions of Finance to develop a strategic analytics roadmap and build sophisticated data models illuminating financial operations and performance. You will develop and maintain financial data models, own and evolve our billing engine, streamline month-end close procedures, analyze financial data, collaborate with cross-functional teams, and establish best practices for financial data governance. This role requires proven experience in analytics engineering and financial systems, strong SQL skills, experience with DBT and Python, and a comfort with ambiguity. Lithic offers a competitive salary, comprehensive benefits, and a flexible work environment.

Requirements

• Proven experience in analytics engineering, data analytics, or similar technical roles with exposure to financial systems
• Comfort with ambiguity and ability to drive projects forward with minimal oversight
• Strong SQL skills with experience in modern data warehouse environments (Snowflake is preferred)
• Experience with DBT or similar data transformation frameworks
• Experience with Python and version control workflows (Git)
• Experience supporting finance teams, working with financial data models and financial concepts

Responsibilities

• Develop and maintain financial data models that provide clear visibility into business performance metrics
• Own and evolve our billing engine, supporting monthly customer billing processes and enhancing tooling to make it more intuitive and self-serve
• Lead initiatives to streamline month-end close procedures through data automation and validation
• Analyze and interpret financial data to identify trends, variances and opportunities for margin improvements or operational efficiencies
• Collaborate with cross-functional teams to identify opportunities for process improvement through analytics engineering
• Establish best practices for financial data governance and documentation

Preferred Qualifications

• You thrive on ownership and approach problems at a goal level rather than a task level
• You're excited about building systems that scale and enable others to self-serve their data needs
• You understand that great financial data infrastructure requires both technical excellence and a deep understanding of the business context
• You enjoy collaborating with stakeholders to uncover true needs and delivering solutions that exceed expectations

Benefits

• Health, vision, and dental insurance
• Unlimited PTO
• 401(k) match
• Life Insurance and AD&D policy
• 3% cashback on all Privacy purchases
• 12-weeks fully paid parental leave
• Work From Anywhere: work from anywhere in the world 4-weeks each year
• $50/month towards your commute
• Free lunch every Tuesday and Thursday