Analytics Lead, Full Stack - Pricing & Growth

Affirm; Los Angeles (CA); On-site; USD 164,000 - 224,000; Full time

Benefits offered by this job

Health coverage for you and dependents

ESPP – employee stock purchase plan

Flexible vacation and holidays

Tech and wellness stipends

Job summary

Affirm in Los Angeles seeks an Analytics Lead, Full Stack to drive pricing strategy and go‑to‑market initiatives across international markets. You will collaborate with Strategic Partnerships, Product, Credit, Finance, Capital Markets and Engineering to shape pricing and monetization decisions.

Apply strong analytical skills with Excel, Snowflake, Sigma, SQL and Python to perform pricing analyses, test new constructs, and optimize portfolio economics while continuously exploring AI‑assisted

Qualifications

• 6+ years in a fast-paced analytical role (pricing, finance, or deal desk).
• Strong analytical skills with Excel, Snowflake, Sigma and scripting (SQL/Python).
• Bias toward using AI tools to accelerate analysis and productivity.

Responsibilities

• Define pricing strategy and structure deals across international markets.
• Collaborate with Strategic Partnerships, Product, Credit, Finance, and Engineering.
• Analyze market dynamics, prepare economic analyses, and optimize portfolio economics.
• Monitor outcomes and iterate pricing to support growth and profitability.
• Work with cross-functional teams on go-to-market initiatives.

Skills

Pricing analytics

Cross-functional collaboration

Advanced analytics

AI/machine learning mindset

Tools

Excel

Snowflake

Sigma

SQL

Python

Job description

Affirm in Los Angeles seeks an Analytics Lead, Full Stack to drive pricing strategy and go‑to‑market initiatives across international markets. You will collaborate with Strategic Partnerships, Product, Credit, Finance, Capital Markets and Engineering to shape pricing and monetization decisions.

Apply strong analytical skills with Excel, Snowflake, Sigma, SQL and Python to perform pricing analyses, test new constructs, and optimize portfolio economics while continuously exploring AI‑assisted