Sr. Finance Analyst - FP&A

What you’ll do This role sits within FP&A and serves as a bridge between Finance and technical teams. Your focus will be on modernizing and automating core finance workflows, improving forecast accuracy through statistical and machine learning techniques, and building durable tooling that enhances decision‑making speed and quality across the organization. The position is hands‑on and ideal for someone who is curious, pragmatic, and constantly seeks to improve financial operations. Automate and industrialize finance workflows: Convert manual Excel‑based processes into reliable, scalable automated pipelines and self‑serve tools. Forecasting & modelling: Develop and operationalise statistical and machine learning models to improve forecast precision, balancing accuracy and explainability. Build FP&A tooling: Create internal tools that make analyses repeatable, auditable, and easy to consume by Finance leadership and business partners. Partner cross‑functionally: Work closely with Finance teams (and technical partners as needed) to identify friction, quantify impact, and implement more efficient operational ways. Data pipelines & rules: Design and maintain rule‑based engines and data pipelines that support forecasting, reporting, and decision workflows. Data storytelling: Translate analyses and automations into clear narratives and meaningful visuals; communicate recommendations confidently internally. Responsible adoption of AI tooling: Use LLM‑powered development workflows (e.g., Claude Code) to accelerate delivery while maintaining quality, security, and auditability. Who you are Strong SQL skills (writing, debugging, and optimising queries against large datasets). Advanced Excel skills and fluency in common FP&A workflows (structured modelling, reconciliation, scenario analysis). Working Python literacy (ability to write production‑quality scripts and notebooks; comfort with packaging, testing, and reproducibility). Experience working in a Git‑based workflow (branching, pull requests/code review, version control hygiene). Proven ability to take ambiguous problems and drive them to outcomes, identifying opportunities, scoping work, executing, and iterating. Comfort operating in a role with direct financial impact, including attention to controls, data quality, and auditability. Excellent communication skills (written and verbal), including the ability to tailor technical detail to the audience. Preferred Qualifications 2‑4 years of experience in Analytics, Finance, or AdTech. Experience with Python data and visualisation tooling such as pandas and plotly. Experience building lightweight applications for analysts and business users (e.g., Streamlit, Dash, or similar). Familiarity with distributed processing and large‑scale data (e.g., PySpark). Experience implementing agentic workflows and/or automation in a business context. Comfort using LLM tools (e.g., Claude Code) to speed up development, analysis, documentation, and iteration. Exposure to programme‑advertising/AdTech concepts (forecasting, seasonality, supply dynamics, fees/take rates, identity, etc.). Benefits and Compensation Base salary range: $93,800 — $172,000 USD. Additional compensation may include variable incentives and commissions. Employees may be eligible for stock‑based compensation grants and participate in a 401(k) plan with company match, comprehensive healthcare (medical, dental, vision) with premiums paid in full for employees and dependents, short‑ and long‑term disability coverage, basic life insurance, well‑being benefits, tuition reimbursement, parental leave, sick time of 1 hour per 30 hours worked, vacation time (up to 120 hrs in the first year and 160 hrs thereafter), and 13 paid holidays per year. Employees can also purchase company stock through the Employee Stock Purchase Plan. We also offer a competitive benefits package. Click here to learn more. Equal Opportunity The Trade Desk does not accept unsolicited resumes from search firms. Fees will not be paid if a candidate submitted by a recruiter without an agreement is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal‑opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. In accordance with the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please contact us at View email address on click.appcast.io to request accommodations or discuss any accessibility needs you may require to access our website or navigate any part of the hiring process. #J-18808-Ljbffr The Trade Desk