Manager, Analytics Engineering at Affirm turning complex finance data into reliable reporting foundations. Leading a team to improve controls and data quality in finance operations.
Responsibilities
Lead end-to-end delivery of finance data models that support reconciliations, journal entry preparation, and close workflows, with a focus on reliability, controls, and audit readiness.
Own the Financial Reporting semantic layer strategy and execution, including definition governance and adoption across reporting surfaces.
Drive migration and modernization of reconciliation and close-support reporting into standardized, automated outputs where appropriate.
Partner with Accounting and Finance stakeholders to translate close and audit requirements into durable data contracts, model specifications, and delivery roadmaps.
Build and evolve reporting data products that make financial insights easy to consume and hard to misinterpret, partnering with BI and Financial Reporting tools (for example Sigma and Workiva).
Build the foundations for AI-assisted finance analytics by enabling AI agents to safely access governed finance datasets (for example, through well-defined metrics, strong documentation, and permissioned datasets) to support self-service questions and reporting workflows.
Establish strong analytics engineering practices across the stack (testing, documentation and glossary stewardship, monitoring/alerting, code review, release discipline, and operational ownership).
Requirements
Strong problem-solving and systems thinking: able to understand end-to-end accounting scenarios and translate them into well-structured data models that are clear, reliable, and easy to maintain.
Experience working in audit and controls-driven environments (for example SOX-relevant processes), with an understanding of how data quality, lineage, and evidence tie to financial reporting outcomes.
Ability to translate accounting and controls requirements into clear data contracts (inputs, transformations, definitions, ownership, and expected outputs) that can be implemented and operated reliably.
Self-starter and self-learner: takes ownership, ramps quickly in new domains, and prioritizes durable solutions over attachment to any specific tool or approach.
Strong experience delivering analytics engineering or data engineering initiatives end-to-end in a complex environment, including cross-functional alignment.
Ability to influence without authority across Accounting, Finance Systems, and Engineering to drive decisions, alignment, and delivery.
Proven ability to build reporting data products for business users (for example, curated datasets and governed metrics that power BI and external reporting workflows), partnering effectively with BI and financial reporting tooling teams.
Deep experience with modern data transformation and warehousing patterns (for example dbt and Snowflake), including production operations and reliability practices.
Benefits
Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
Senior Analytics Developer at Wealthsimple developing analytical data models for financial services. Collaborating with cross - functional teams to improve data quality and operational decision - making.
Analytics Engineer at Instacart building data models to optimize marketing efficiency and lifecycle communications. Collaborating with Data Engineering, Product, Marketing, and Engineering teams for robust analytics.
Product Analytics Engineer ensuring every team at Runway utilizes data effectively for decision - making. Focused on building data tools and infrastructure to enhance insights across the company.
Senior Analytics Developer at SOCi developing data pipelines and analytic products for AI - powered marketing solutions. Collaborating with teams to ensure data quality and business insights.
Sr. Analytics Engineer designing and implementing data architecture for corporate finance at Lime. Collaborating with Finance stakeholders to ensure analytics solutions meet their needs and standards.
Senior Analytics Engineer working with analytics & insights team to produce scalable data solutions. Partnering with stakeholders from Finance and Business Ops for meaningful insights.
Analytics Engineer at Bird shaping data pipeline and architecture while collaborating with engineering teams. Focused on implementing data models to support effective business solutions.
Analytics Data Engineer turning ingested data into trusted analytical assets for dashboards and insights. Collaborating with various teams to enhance data models and support decision - making.
Analytics Engineering Manager leading the analytics discipline at Kin, focusing on semantic data modeling and BI practices. Collaborating with data engineers to drive impactful data solutions.
As a Data Scientist at Noibu, you'll develop data products to improve the customer journey. Collaborate with sales and marketing teams while advocating for data quality and performance.