Job Description
Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to over 30% of the Fortune 100 with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential.
Last year, more than $3.8 billion of work was done through Upwork by skilled professionals who are gaining more control by finding work they are passionate about and innovating their careers.
This is an engagement through Upwork’s Contingent Workforce (CW) Team. Our Contingent Workforce Team is a global group of professionals that support Upwork’s business. Our CW team members are located all over the world.
The Analytics team is looking for a Senior Analyst, Product Analytics to support product teams focused on building a trusted, high-quality platform experience. This role is crucial for defining success metrics, building measurement frameworks, and delivering reporting and experimentation insights that inform product strategy and execution. The successful candidate will drive end-to-end analytics projects and partner cross-functionally with Product, Engineering, Design, Data Science, and Operations to ensure product initiatives are measurable, impactful, and aligned to business outcomes.
As a critical member of the team, you’ll use your quantitative background and expertise manipulating large datasets to bring unparalleled insights into user behavior and platform performance. We tackle a multitude of exciting challenges including behavioral measurement, A/B testing, and ongoing tracking of our business progress to enable growth. If you enjoy building teams and businesses with endless possibilities, this is a great opportunity!
Work/Project Scope:
- Define and maintain product success metrics and KPI frameworks for key product areas (e.g., quality signals, transparency, outcomes), ensuring clarity, alignment, and consistency across teams.
- Build and evolve measurement approaches that connect product changes to business outcomes (funnel metrics, engagement, and revenue impact).
- Design and analyze experiments (A/B tests, quasi-experiments) and apply causal inference techniques where randomization isn’t feasible.
- Develop durable reporting and dashboards that provide ongoing visibility into product health, leading indicators, and strategic goals.
- Partner with Product and Engineering to improve instrumentation and event logging, ensuring data is accurate, complete, and decision-ready.
- Conduct deep-dive analyses to identify user behavior patterns, friction points, and opportunity areas; translate findings into clear, prioritized recommendations.
- Create compelling narratives that synthesize complex analyses into actionable insights for product and business leaders.
- Establish lightweight analytics “operating rhythms” (regular readouts, metric reviews, launch measurement plans) to accelerate learning and accountability.
- Partner to support survey data governance by analyzing sampling strategies, monitoring and interpreting response trends, and ensuring survey execution aligns with agreed standards.
Must Haves (Required Skills):
- Ability to drive analytics projects end-to-end in a fast-paced environment, from ambiguous problem framing to influence and adoption.
- Strong communication skills with the ability to synthesize complex data into clear, actionable stories for product and business leaders.
- Expertise in metrics design, measurement strategy, and analytical rigor (including defining North Star metrics and leading indicators).
- Strong SQL skills and experience working with large, messy datasets; comfort debugging data quality issues.
- Proficiency in one or multiple BI tools such as Looker or Tableau.
- Experience with experimentation (A/B testing) and causal inference approaches; ability to choose methods appropriate to constraints.
- Proficiency in Python or R a plus.
- Previous experience in a marketplace, e-commerce, or two-sided platform business is a plus.
Upwork is proudly committed to fostering a diverse and inclusive workforce. We never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Additionally, to the extent permitted under applicable law, a criminal background check may be required as a condition of engagement.
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