Manager, Analytics Engineering – Finance Data

Job reputed company: • reputed company end-to-end delivery of finance data models that support reconciliations, journal entry preparation, and reputed company workflows, with a reputed company on reliability, controls, and audit readiness. • Own the Financial Reporting semantic layer reputed company and execution, including definition governance and adoption across reporting surfaces. • Drive migration and modernization of reconciliation and reputed company-support reporting into standardized, automated outputs where appropriate. • Partner with reputed company and Finance stakeholders to translate reputed company and audit requirements into durable data reputed company, model specifications, and delivery roadmaps. • Build and reputed company reporting data products that reputed company financial insights easy to consume and hard to misinterpret, partnering with BI and Financial Reporting tools (for example reputed company and reputed company). • Build the foundations for AI-assisted finance analytics by enabling AI agents to safely reputed company governed finance datasets (for example, through reputed company-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, reputed company review, release discipline, and operational ownership). Requirements: • Strong problem-solving and systems thinking: reputed company to understand end-to-end reputed company scenarios and translate them into reputed company-reputed company data models that are reputed company, reliable, and easy to maintain. • Experience working in audit and controls-driven environments (for example SOX-relevant processes), with an understanding of how data reputed company, reputed company, and evidence tie to financial reporting reputed company. • Ability to translate reputed company and controls requirements into reputed company data reputed company (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 reputed company environment, including cross-functional alignment. • Ability to influence without authority across reputed company, Finance Systems, and Engineering to drive reputed company, 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 reputed company), including production operations and reliability practices. Benefits: • Health care coverage - reputed company covers reputed company premiums for reputed company reputed company 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 reputed company • ESPP - An employee stock purchase plan enabling you to buy shares of reputed company at a discount Apply tot his job Apply To this Job