Analyst II, Full Stack

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Take charge of the planning and staffing for launches in the UK and new regions, as well as special teams. Establish and uphold guardrail metrics.

• Develop a strong understanding of the foundational data, including demand signals, agent rosters (team, title, country), agent activity (delivered hours, status), and license demand.

• Manage demand forecasts for checkouts and app opens in CA, the UK, and new geographical areas.

• Report on the health of forecasts for the UK, CA, and other regions (accuracy and outlook).

• Provide real-time management advice to Customer Operations (UK) regarding agent productivity.

• Curate AI knowledge applicable to Customer Operations (UK) and forecasting for UK Infrastructure.

• Create and manage forecasting models utilizing time series, regression, and machine learning techniques to aid in contact forecasting, headcount and license planning, and budgeting.

• Collaborate with stakeholders to define planning and forecasting challenges, develop relevant metrics and diagnostics, and facilitate high-quality decision-making.

• Identify opportunities for productivity and efficiency enhancements through budget and financial performance data.

• Present insights and recommendations to leadership, drive timely decision-making, and communicate effectively with cross-functional partners.

• Work alongside operational planning and other analytics teams to grasp the business context for headcount and workforce scheduling, and acquire necessary data for precise forecasts.

• Stay informed about the business dynamics and our evolving technical landscape.

⛳️ Requirements

• A Bachelor's, Master's, or PhD in a quantitative discipline (e.g., statistics, industrial engineering, operations research) with over 5 years of experience in solving forecasting, planning, or related quantitative challenges.

• Strong expertise in SQL and Python or R, along with hands-on experience with a contemporary cloud-native data platform (e.g., Databricks, Snowflake, BigQuery, or similar).

• Practical experience utilizing AI/LLM tools throughout the analytics process: crafting, validating, and refining AI-generated SQL and Python, and incorporating AI outputs into trusted analyses for stakeholders.

• Experience in constructing optimization models using linear programming techniques (e.g., CPLEX, Gurobi) is an advantage.

• Robust background in developing and validating statistical forecasting models, employing disciplined methods for performance measurement, backtesting, and meticulous error tracking.

• Demonstrated capability to independently organize ambiguous issues and choose the right analytical method without explicit guidance.

• A clear and persuasive communicator with strong stakeholder management abilities and the capacity to influence senior leaders across both technical and non-technical groups.

• A strong inclination towards automation: viewing repetitive manual tasks as unnecessary drudgery and constructing lasting, automated systems, assigning tasks to machines where they can outperform humans reliably and efficiently.

• High standards of humility, honesty, and accountability: taking ownership of outcomes, committing to personal growth, and actively mentoring others.

🏝️ Benefits

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents.

• Flexible Spending Wallets - generous stipends for technology, food, various lifestyle needs, and expenses related to family formation.

• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge.

• ESPP - An employee stock purchase plan that enables you to buy shares of Affirm at a discount.