Livepeer
Overview Senior Data Analyst at Livepeer. We are seeking a detail-oriented, inquisitive, self-driven, and highly collaborative analyst to enable data-driven decision making across product, marketing, growth, operations and engineering. The role focuses on building clear, actionable reporting, surfacing insights that unlock growth, and ensuring our teams have the data they need to succeed.
Responsibilities Partner closely with product, growth, and marketing teams as an independent analytics partner, requiring minimal oversight
Develop deep expertise in this team’s data and communicate insights in intuitive ways
Design, build, and maintain dashboards and reports that track key performance metrics
Collaborate with engineering to ensure data quality, reliable pipelines, and well-modeled data for analysis
Proactively surface insights and opportunities partners may not explicitly request
Identify gaps in tracking or data coverage and work with leadership/engineering to close them
Conduct deep-dive analyses to uncover trends, opportunities, and risks
Provide ad-hoc reporting and analysis to support leadership decision-making
Translate data into actionable insights, including visualizations, written reports, and presentations
Contribute to the development of best practices for data modeling, dashboarding, and documentation
Continuously improve the analytics stack and identify opportunities to automate recurring workflows
Requirements Proven experience as a Data Analyst or Senior Data Analyst
Strong proficiency in SQL (ClickHouse, Postgres, BigQuery)
Experience with Metabase for dashboarding and reporting
Experience with PostHog for product analytics and event tracking
Proficiency in Python for data analysis and scripting
Familiarity with dbt for data modeling and transformation
Excellent problem-solving skills with a keen eye for detail and data quality
Ability to communicate complex findings clearly to technical and non-technical stakeholders, including senior leaders
Comfort working in a fast-paced environment with shifting priorities, unstructured conversations, and frequent ad-hoc requests
Curious, self-driven learner who can independently learn new tools and find solutions to blockers
Preferred Qualifications Experience working directly with product managers, marketers, and engineers
Understanding of modern data stack practices and event-driven analytics
Interest in growing into analytics engineering responsibilities (dbt modeling, SQL pipelines)
Ability to balance strategic thinking with hands-on execution
Location preference within the Western Hemisphere, aligned with Central US time zone (± a few hours)
Compensation and Benefits Base Salary: 50,000 - 150,000 USD per year, depending on experience and location
Token package with a 3-year vesting schedule
Employee Stock Option Plan (ESOP) with 4-year vesting and a 1-year cliff
Annual salary reviews every January
Holidays: 25 vacation days per year plus national holidays
A birthday day off (or an alternative day if it falls on a weekend)
Learning and Development budget: 2,000 USD per year
Comprehensive medical, dental, and vision insurance where applicable
Company pension contributions where applicable
Equipment: Choose a laptop and necessary setup; Livepeer will purchase it
Home office stipend and upgrades
Flexible working hours
Annual company retreat and team meetups
Subscription gift and other lifestyle perks
Rewards for referrals who are hired
Access to cutting-edge AI and the latest technologies
Apply Join Livepeer and shape the future of video streaming and AI tooling.
Resources to learn more about Livepeer:
The Livepeer Primer
Livepeer snags $20M for decentralized video transcoding
Messari Profile
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