Tech Lead, Analytics Engineering at SeatGeek
New York, NY 10001
About the Job
SeatGeek believes live events are powerful experiences that unite humans
With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry
We are looking for an Analytics Engineering Tech Lead to join SeatGeek’s Analytics team
Analytics is the go-to partner for our business’s needs around data management and insight generation
As Tech Lead, you will own the strategic vision for our data warehouse and be responsible for working cross-functionally to bring that vision to life
You will define long-term projects aimed at improving warehouse performance and utility, oversee their execution from start to finish, and ensure they align with business objectives while cultivating a collaborative team environment
You will work with managers to improve existing processes aimed at keeping our technical bar high
Above all, your work will drive us toward our mission of making SeatGeek the top destination for live event goers by putting data at the heart of everything we do.SeatGeek's data warehouse has been at the core of our Data team for the better part of a decade, and as early adopters of Redshift, Looker, and dbt, our business intelligence stack is technically mature and easy to work with
As SeatGeek continues its growth, leaders and operators across the business will need clean, actionable metrics and feedback loops to make company-defining decisions
If you're somebody who knows that you optimize what you measure, if you believe in the power of good data, if you get delight from helping your coworkers do their jobs better, and if you have strong opinions on how data can make that happen, then you're the right person to take our solid foundation and build to the stars.What you’ll doOwn the product vision for our data warehouse
Collaborate to develop new features that render our warehouse more intuitive and efficient for end usersEnsure our data warehouse runs smoothly
Use and improve existing monitoring tools in order to improve our data warehouse and Looker KPIsCommunicate and collaborate with different stakeholders, like Data Scientists, Analysts, Data Platform Engineers, and our Product team to institute best practices aimed at managing data qualityCreate definitions and documentation of our data sources, making ownership crystal clearWork closely with data scientists to build efficient data modeling solutionsOwn third-party data vendor management, e.g
mParticle, Mixpanel, LookerWhat you have5 - 10 years of relevant experience with a track record of technical leadership in Analytics or Data EngineeringA bachelor’s degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative disciplineExpert-level knowledge of SQL
Proficiency in programming with PythonExperience developing new metrics and performing analysis with large datasetsExperience building reports and dashboards using business intelligence toolsFamiliarity with dbtOur stackScheduling/Orchestration: AirflowETL: Fivetran, Python, dbt, & KafkaData Warehouse: RedshiftEvent Stream: mParticleExperimentation: OptimizelyDashboarding: Looker, Hex, & MixpanelCode versioning: GitlabRequired languages: SQL and PythonPerksEquity stakeFlexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotelyA WFH stipend to support your home office setupUnlimited PTOUp to 16 weeks of paid family leave401(k) matching programHealth, vision, dental, and life insuranceUp to $25k towards family building services$500 per year for wellness expensesSubscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical$120 per month to spend on tickets to live eventsAnnual subscription to Spotify, Apple Music, or Amazon musicThe salary range for this role is $170,000-$230,000
Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law
As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings
Come join us!To review our candidate privacy notice, click here.
With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry
We are looking for an Analytics Engineering Tech Lead to join SeatGeek’s Analytics team
Analytics is the go-to partner for our business’s needs around data management and insight generation
As Tech Lead, you will own the strategic vision for our data warehouse and be responsible for working cross-functionally to bring that vision to life
You will define long-term projects aimed at improving warehouse performance and utility, oversee their execution from start to finish, and ensure they align with business objectives while cultivating a collaborative team environment
You will work with managers to improve existing processes aimed at keeping our technical bar high
Above all, your work will drive us toward our mission of making SeatGeek the top destination for live event goers by putting data at the heart of everything we do.SeatGeek's data warehouse has been at the core of our Data team for the better part of a decade, and as early adopters of Redshift, Looker, and dbt, our business intelligence stack is technically mature and easy to work with
As SeatGeek continues its growth, leaders and operators across the business will need clean, actionable metrics and feedback loops to make company-defining decisions
If you're somebody who knows that you optimize what you measure, if you believe in the power of good data, if you get delight from helping your coworkers do their jobs better, and if you have strong opinions on how data can make that happen, then you're the right person to take our solid foundation and build to the stars.What you’ll doOwn the product vision for our data warehouse
Collaborate to develop new features that render our warehouse more intuitive and efficient for end usersEnsure our data warehouse runs smoothly
Use and improve existing monitoring tools in order to improve our data warehouse and Looker KPIsCommunicate and collaborate with different stakeholders, like Data Scientists, Analysts, Data Platform Engineers, and our Product team to institute best practices aimed at managing data qualityCreate definitions and documentation of our data sources, making ownership crystal clearWork closely with data scientists to build efficient data modeling solutionsOwn third-party data vendor management, e.g
mParticle, Mixpanel, LookerWhat you have5 - 10 years of relevant experience with a track record of technical leadership in Analytics or Data EngineeringA bachelor’s degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative disciplineExpert-level knowledge of SQL
Proficiency in programming with PythonExperience developing new metrics and performing analysis with large datasetsExperience building reports and dashboards using business intelligence toolsFamiliarity with dbtOur stackScheduling/Orchestration: AirflowETL: Fivetran, Python, dbt, & KafkaData Warehouse: RedshiftEvent Stream: mParticleExperimentation: OptimizelyDashboarding: Looker, Hex, & MixpanelCode versioning: GitlabRequired languages: SQL and PythonPerksEquity stakeFlexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotelyA WFH stipend to support your home office setupUnlimited PTOUp to 16 weeks of paid family leave401(k) matching programHealth, vision, dental, and life insuranceUp to $25k towards family building services$500 per year for wellness expensesSubscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical$120 per month to spend on tickets to live eventsAnnual subscription to Spotify, Apple Music, or Amazon musicThe salary range for this role is $170,000-$230,000
Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law
As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings
Come join us!To review our candidate privacy notice, click here.
