Job description

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com . We’re looking for a Senior Data Analyst / Senior Analytics Engineer to work a hybrid schedule, with three days per week in our San Francisco or Toronto offices, and to translate complex healthcare and product data into clear, actionable insights that drive strategy and business impact. You are a fit if you thrive in ambiguous, cross-functional environments, own analytical deep work end to end, and enjoy influencing decisions through rigorous, well-communicated analysis. What you’ll do: • Work cross-functionally with Revenue Operations, Finance, and Customer Success to scope and implement trusted business metrics, proactively identify data integrity issues, and optimize operational workflows. • Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform business priorities. • Communicate analysis results and outcomes clearly and tailor messaging based on the audience. • Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools. • Mentor other analysts and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the organization. What we look for: • Bachelor’s degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering, or a related field, or equivalent years of practical work experience. • 5+ years of experience building and maintaining analytics data models using tools such as dbt • 5+ years of experience designing analytics architecture and data layers that support multiple business functions and reporting use cases • 5+ years of experience implementing data quality checks, testing, and monitoring to ensure reliable reporting • Understanding of BI and reporting, with experience supporting tools such as Metabase, Looker, Tableau Bonus (Nice to have): • 5+ years of experience with a programming language such as Python or R. • 5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques. • Advanced degree in applied mathematics, statistics, actuarial science, economics or a related field. • Experience working with sales organizations and familiarity with funnel and pipeline processes. • Strong mentorship and leadership skills, with a track record of elevating scientific standards and developing junior talent across teams. Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: • Choice of medical, dental, and vision insurance plans for you and your family. • Additional insurance coverage options for life, accident, or critical illness. • Flexible paid time off, sick leave, short-term and long-term disability. • 10 US observed holidays, and Canadian statutory holidays by province. • A home office stipend. • 401(k) for US-based employees and RRSP for Canada-based employees. • Paid parental leave. • A local in-person meet-up program. • Hubs in San Francisco and Toronto. (Please note the above benefits & perks are for full-time employees) Notice to Candidates: To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page . Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Requirements

Must-haves

Work cross-functionally with Revenue Operations, Finance, and Customer Success to scope and implement trusted business metrics, proactively identify data integrity issues, and optimize operational workflows.
Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform business priorities.
Communicate analysis results and outcomes clearly and tailor messaging based on the audience.
Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools.
Mentor other analysts and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the organization.
Bachelor’s degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering, or a related field, or equivalent years of practical work experience.
5+ years of experience building and maintaining analytics data models using tools such as dbt
5+ years of experience designing analytics architecture and data layers that support multiple business functions and reporting use cases
5+ years of experience implementing data quality checks, testing, and monitoring to ensure reliable reporting
Understanding of BI and reporting, with experience supporting tools such as Metabase, Looker, Tableau
5+ years of experience with a programming language such as Python or R.
5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques.
Advanced degree in applied mathematics, statistics, actuarial science, economics or a related field.
Experience working with sales organizations and familiarity with funnel and pipeline processes.
Strong mentorship and leadership skills, with a track record of elevating scientific standards and developing junior talent across teams.

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

aipython

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave