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Product Analyst

Nashville, Tennessee, United States

Product Analyst

Full-time | Nashville | Tennessee | United States


We are in exciting, high-growth times here at Eventbrite.  The Product Analytics team is central in driving growth in Eventbrite’s core business by increasing the value we deliver to our customers. You will play a key role in identifying insights that can unlock future growth through new product development initiatives and advising stakeholders on how to optimize the impact of their activities. You will work closely with product managers and data scientists to identify collaborative approaches to driving growth. You will also play an important role in ensuring we have sufficient monitoring and reporting in place to understand the impact of new product releases and present these insights back to management.


The Product Analytics team is responsible for deriving insights that unlock new opportunities for growth and optimization of our product development efforts.  We are thought partners to the product managers and help shape the product roadmap. In addition, we collectively manage and maintain our product experimentation processes and tools; we design release experiments, measure the impact of our product development projects on our core objectives, and report out our conclusions to stakeholders.  We are a small team with a large remit and outsized impact on the company’s results.


You’ll serve as an advocate and promoter of our data-driven culture, collaborating closely with Data Science, Product, and Engineering to help them use insights that will direct their efforts towards initiatives with the largest impact.  You’ll quantify user activity on the site so future product changes are prioritized appropriately and the user experience is optimally improved. We’re looking for someone who will provide guidance on new methodologies and analytical approaches and synthesize analysis and results into compelling storylines that they communicate directly to key stakeholders throughout Eventbrite.  

You can expect to partner closely with the product mangers to identify gaps in our product offering by conducting comprehensive data analysis. You’ll define data to be collected for measuring success of new product features, and work with engineering on proper tracking and instrumentation of data. You’ll conquer query optimization problems on large data sets. You will also design and build self-service dashboards using a mixture of analytical and visualization techniques (e.g., Tableau) to derive actionable insight from data.

You’ll investigate anomalies and new data in ad hoc projects with SQL, Presto, Hive, and Excel, and work closely with the product team to properly design and conduct A/B tests for experimental product features. You’ll also work with Sales and Customer Support to quantify user feedback.


  • Bachelor’s degree with strong academic performance in a quantitative field; or strong equivalent experience
  • Professional work experience in a technology, start-up, data warehousing, or other analytical role
  • Advanced SQL experience writing complex queries, user-defined functions, and stored procedures, and tuning query performance
  • Support conclusions with analytical evidence using descriptive statistics, basic inferential statistics, and data visualizations
  • Experience working with business partners to understand business problems and help to devise scalable solutions to meet their needs
  • Attentive to detail with strong quality control, especially in regard to large-scale data changes
  • Ability to identify and succinctly summarize roadblocks, constraints, and trade-offs, propose potential solutions, and drive toward resolution
  • Intellectually curious, high energy and possess a strong work ethic
  • Strong grasp of data warehouse concepts and data models
  • Exceptional oral and written communication skills
  • Solid problem solving and analytical skills; able to quickly digest any issue/problem encountered and recommend appropriate solution options
  • Analyze business requirements in various business functional areas and translate them into conceptual, logical and physical data models. Design data marts using knowledge of data warehouse principles, architectures and technologies
  • Collaborate with your peers for finding solutions to complex problems. Share knowledge with your peers and also learn from them as required


  • Highly skilled in data visualization tools such as Tableau
  • Familiar with using Spark and Presto to access an S3 data warehouse
  • Familiarity with data processing using common libraries in the Python data science stack, especially pandas and NumPy (or similar experience using R with an interest in learning to use the Python stack)
  • Experience designing, reviewing, implementing and optimizing data transformation processes using Big Data tools like Spark, Presto, and Hive
  • Knowledge of data mining and/or machine learning
  • Understanding of web technologies (like APIs and HTTP) and popular web formats (like JSON and HTML)
  • Experience working with version control, peer code review, and agile sprint-based work streams

FLSA Status: Exempt


Eventbrite is a global ticketing and event technology platform, powering millions of live experiences each year. We empower creators of events of all shapes and sizes – from music festivals, experiential yoga, political rallies to gaming competitions –– by providing them the tools and resources they need to seamlessly plan, promote, and produce live experiences around the world. Last year, the team served 795,000 creators hosting nearly 4 million experiences across 170 countries. Meet some of the Britelings that make it happen.


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Eventbrite is a proud equal opportunity/affirmative action employer supporting workforce diversity.  We do not discriminate based upon race, ethnicity, ancestry, citizenship status, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, registered domestic partner status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, political affiliation, status as a victim of domestic violence, assault or stalking, or other applicable legally protected characteristics.

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