Senior Manager, Business Intelligence

About the role

The Senior Manager, Business Intelligence leads a team of Business Intelligence Analysts to support strategic decision-making across the business. They are responsible for designing and executing advanced analytics initiatives, providing clear, data-driven analysis, and identifying growth opportunities and operational risks.

Responsibilities

• Lead BI teams on the design and execution of advanced analytics initiatives, mining and synthesizing data from multiple complex sources to support strategic decision-making across the business.
• Oversee insights, delivering clear, data-driven analysis on key metrics across the business.
• Build strong partnerships with cross-regional stakeholders to translate trends into actionable guidance for senior leadership.
• Proactively identify growth opportunities, operational risks, and emerging product trends, framing analytical findings in a way that influences roadmaps and strategic priorities.
• Develop and implement business intelligence solutions and insights that enhance operational efficiency, streamline workflows, and improve visibility for business stakeholders.
• Experience with data architecture and modeling, guiding teams in building scalable, well-structured data assets that support business initiatives.
• Partner closely with business leaders to gather inputs for initiatives, communicate risks and assumptions, and ensure analytical rigor and precision in all data deliverables.
• Lead and mentor cross-functional teams, collaborating with internal stakeholders to drive alignment on key metrics, support integrated planning, and guide the organization toward data-driven decision making.

Requirements

Qualifications include a Bachelor's degree in a quantitative field (Economics, Finance, Statistics, Mathematics, Computer Science, etc.) or equivalent experience, with a Master's degree preferred. 15+ years of analytics experience supporting Go To Market, Product, Engineering, Corporate or Business Analytics teams. Must have experience with Microsoft Excel (expert level) and ability to create compelling PPT presentations. 8-10 years leading and managing BI teams. 8+ years' experience in one or more programming languages, such as SAS/SQL/R/Python. Excellent critical thinking skills and proven track record with presenting quantitative information to stakeholders at all levels of an organization. Experience with business intelligence (BI) tools (Tableau, Power BI, Qlik, Looker, etc.). Experience integrating data across disparate sources and platforms. Demonstrated expertise in predictive and advanced analytics, including hands-on experience developing statistical models and applying data science techniques to derive actionable insights that support data-driven decision-making. Experience with Analytics engineering tools like dbt preferred. Experience with Data Warehouse and ETL frameworks (Snowflake, Boomi, SSIS, Informatica, etc.) a plus. Able to successfully handle multiple competing priorities. Innovative, and outcomes obsessed. Ability to present clearly and concisely to a diverse group of business and clinical stakeholders. Ability to work in rapidly growing environment, with excellent attention to detail, multitasking and organizational skills. Ability to build consensus across cross-functional and across geographic teams. Must possess a 'can-do' attitude with the ability to work well with all levels of internal management and staff. Ability to understand complicated problems and supply concise and relevant answers.

Qualifications

Bachelor's degree in a quantitative field (Economics, Finance, Statistics, Mathematics, Computer Science, etc.) or equivalent experience. Masters degree preferred. 15+ years of analytics experience supporting Go To Market, Product, Engineering, Corporate or Business Analytics teams. Must have experience with Microsoft Excel (expert level) and ability to create compelling PPT presentations. 8-10 years leading and managing BI teams. 8+ years' experience in one or more programming languages, such as SAS/SQL/R/Python. Excellent critical thinking skills and proven track record with presenting quantitative information to stakeholders at all levels of an organization. Experience with business intelligence (BI) tools (Tableau, Power BI, Qlik, Looker, etc.). Experience integrating data across disparate sources and platforms. Demonstrated expertise in predictive and advanced analytics, including hands-on experience developing statistical models and applying data science techniques to derive actionable insights that support data-driven decision-making. Experience with Analytics engineering tools like dbt preferred. Experience with Data Warehouse and ETL frameworks (Snowflake, Boomi, SSIS, Informatica, etc.) a plus. Able to successfully handle multiple competing priorities. Innovative, and outcomes obsessed. Ability to present clearly and concisely to a diverse group of business and clinical stakeholders. Ability to work in rapidly growing environment, with excellent attention to detail, multitasking and organizational skills. Ability to build consensus across cross-functional and across geographic teams. Must possess a 'can-do' attitude with the ability to work well with all levels of internal management and staff. Ability to understand complicated problems and supply concise and relevant answers.

Skills

Experience with data architecture and modeling, guiding teams in building scalable, well-structured data assets that support business initiatives. Partner closely with business leaders to gather inputs for initiatives, communicate risks and assumptions, and ensure analytical rigor and precision in all data deliverables. Lead and mentor cross-functional teams, collaborating with internal stakeholders to drive alignment on key metrics, support integrated planning, and guide the organization toward data-driven decision making.

Benefits

Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents. Retirement benefits such as a 401k plan and company match. Short and long-term disability coverage. Basic life insurance. Well-being benefits. Reimbursement for certain tuition expenses. Parental leave. Sick time of 1 hour per 30 hours worked. Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter. Around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package.

Pay

$166,000—$251,000 USD

Schedule

Full-time