Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to large, Fortune 100 enterprises 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.

The Data Science and Analytics team is looking for a Senior Analyst to drive insights and identify opportunities for the Ads and Monetization team. This role is critical to guiding business decisions and assessing impact in the auction, ads, subscriptions, and market design domain through advanced causal inference techniques and modeling. This individual will drive insights and partner cross functionally with product management, engineering, user research, finance, marketing, and analytics teams to compel changes in our strategy.

As a critical member of the Marketplace Analytics team, you’ll use your quantitative background and expertise manipulating large datasets to bring unparalleled insights into user behavior and site performance. Our team tackles a multitude of exciting challenges including designing auctions and evaluating auction behavior, planning and executing advanced experiments and market design mechanisms, and tracking of our business progress to enable Upwork’s growth. If you enjoy building businesses with endless possibilities, this is a great opportunity!

  Your Responsibilities: 

• Design and fully execute advanced test methodologies according to business requirements (A/B test, difference-in-difference, switchback, regression discontinuity, etc.); 

• Generate insights in auction behavior and marketplace design (e.g. rewards and subsidy), and make business recommendations.

• Collaborate with cross-functional teams (product, marketing, engineering, UX) closely to advance or launch new monetization products.

• Present in key meetings and business reviews with our product leadership.

• Advocate advanced causal inference and testing techniques with the broader Analytics team, work with Economics and Data Science teams, and mentor others seeking to develop more advanced capabilities.

What it takes to catch our eye:

• Extensive working knowledge of Economics and Statistics via post-graduate education or industry experience.

• Experience in causal inference and test designs (A/B test, switchback, difference-in-difference, synthetic control, regression discontinuity, etc).

• Experience in structural modeling is a plus.

• Experience working with two-sided marketplaces, ads, auctions, or subscriptions is a plus.

Come change how the world works.

At Upwork, you’ll shape talent solutions for how the world works today. We are a remote-first organization working together to create exciting remote work opportunities for a global community of professionals.  While we have physical offices in San Francisco and Chicago, currently we also support hiring of corporate full-time employees in 19 states in the United States. Please speak with a member of our recruitment team to determine whether you are located in a state in which we are hiring corporate full-time employees. 

Our vibrant culture is built on shared values and our mission to create economic opportunities so that people have better lives. We foster amazing teams, put our community first, and have a bias toward action. We encourage everyone to bring their whole selves to work and grow together through development opportunities, mentorship, and employee resource groups. Oh yeah, we’ve also got amazing benefits.

Check out our Life at Upwork page to learn more about the employee experience.   

Upwork is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, 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.