Sr Sales Ops Associate - GTM Scaled Reporting and Insights
Uber, San Francisco, California, United States, 94199
About the Role
We are looking for a highly analytical, motivated, and technical
Data Analyst
to join our Ads Delivery Commercial Operations (DCO) team. This role is ideal for
early-career talent
with strong
SQL ,
Python , and spreadsheet skills who are excited to build scalable systems, automate workflows, and turn large datasets into insights that guide decision-making for a
350+ seller organization
and a
multi-billion-dollar P&L . In this role, you will build the analytical and operational foundation that powers our GTM engine-owning everything from forecasting and account prioritization models to data pipelines, reporting automation, and executive insights. If you're curious, proactive, and love solving complex problems with data, this is a rare opportunity to make a massive impact early in your career. What You'll Do:
Build
scalable, automated
reporting and analytical solutions that enable faster, better decision-making across the GTM organization. Develop and maintain
forecasting ,
pipeline analytics , and
quota/Book Building
models that influence planning cycles and resource allocation. Design and optimize
account prioritization
and
account scoring frameworks
to help sellers focus their efforts for maximum ROI. Build and maintain
ETL workflows , SQL-based datasets, and Python-based automation to reduce manual work and increase operational efficiency. Ensure
data governance and QA
across all your models, dashboards, and pipelines. Identify, propose, and build
automation opportunities
that remove repetitive work and scale across the org. Deliver insights and analysis for
leadership reviews , working directly with VPs and senior stakeholders. Partner cross-functionally with Sales, Marketing, Finance, Product, and RevOps to support annual and quarterly planning cycles. Drive projects end-to-end with extreme ownership, curiosity, and an
80/20
mindset (speed > perfection). Basic Qualifications
Bachelor's Degree 3+ years of relevant experience Strong SQL skills, in addition to data modeling and general database understanding Preferred Qualifications
4-6 years of relevant experience Ownership mentality - you run your work like a business Fast learner with a bias for action and a steep learning curve Salesforce experience is a plus (but not required) Python for data transformation, automation, and modeling Proactive and self-driven - you bring ideas, solutions, and automation opportunities Extremely analytical and structured thinking Comfortable working under pressure and handling occasional fire-drills Strong communication skills and comfort presenting to senior leadership Problem solver with curiosity and a builder mindset Embraces the
80/20
approach : optimize for speed and impact, not perfection For New York, NY-based roles: The base salary range for this role is USD$131,000 per year - USD$145,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$131,000 per year - USD$145,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr
We are looking for a highly analytical, motivated, and technical
Data Analyst
to join our Ads Delivery Commercial Operations (DCO) team. This role is ideal for
early-career talent
with strong
SQL ,
Python , and spreadsheet skills who are excited to build scalable systems, automate workflows, and turn large datasets into insights that guide decision-making for a
350+ seller organization
and a
multi-billion-dollar P&L . In this role, you will build the analytical and operational foundation that powers our GTM engine-owning everything from forecasting and account prioritization models to data pipelines, reporting automation, and executive insights. If you're curious, proactive, and love solving complex problems with data, this is a rare opportunity to make a massive impact early in your career. What You'll Do:
Build
scalable, automated
reporting and analytical solutions that enable faster, better decision-making across the GTM organization. Develop and maintain
forecasting ,
pipeline analytics , and
quota/Book Building
models that influence planning cycles and resource allocation. Design and optimize
account prioritization
and
account scoring frameworks
to help sellers focus their efforts for maximum ROI. Build and maintain
ETL workflows , SQL-based datasets, and Python-based automation to reduce manual work and increase operational efficiency. Ensure
data governance and QA
across all your models, dashboards, and pipelines. Identify, propose, and build
automation opportunities
that remove repetitive work and scale across the org. Deliver insights and analysis for
leadership reviews , working directly with VPs and senior stakeholders. Partner cross-functionally with Sales, Marketing, Finance, Product, and RevOps to support annual and quarterly planning cycles. Drive projects end-to-end with extreme ownership, curiosity, and an
80/20
mindset (speed > perfection). Basic Qualifications
Bachelor's Degree 3+ years of relevant experience Strong SQL skills, in addition to data modeling and general database understanding Preferred Qualifications
4-6 years of relevant experience Ownership mentality - you run your work like a business Fast learner with a bias for action and a steep learning curve Salesforce experience is a plus (but not required) Python for data transformation, automation, and modeling Proactive and self-driven - you bring ideas, solutions, and automation opportunities Extremely analytical and structured thinking Comfortable working under pressure and handling occasional fire-drills Strong communication skills and comfort presenting to senior leadership Problem solver with curiosity and a builder mindset Embraces the
80/20
approach : optimize for speed and impact, not perfection For New York, NY-based roles: The base salary range for this role is USD$131,000 per year - USD$145,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$131,000 per year - USD$145,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr