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Finance Analytics Engineering Manager – Automation
Alteryx. Own Finance analytics engineering and automation across Snowflake, SQL, workflow automation, controls, integrations, and downstream Finance consumption .
Posted 10/13/2026full-timeRemote • United StatesMid-LevelSenior💰 $139,475 - $151,970 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Finance Analytics Engineering, focusing on SQL, Snowflake, and automation to deliver scalable technical solutions. Proven ability to translate Finance requirements into analytical models and automated workflows while ensuring data quality and compliance.
Highest-signal resume keywords
Finance Analytics EngineeringSQL ProficiencySnowflake ExperienceAlteryx AutomationData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModelingAnalytical WorkflowsAutomationRoot-Cause AnalysisData Quality ChecksReconciliationsImpact AssessmentLineage TracingFinancial Data Analysis
Soft Skills
Team ManagementCollaborationProblem-SolvingCommunicationCoaching
Tools & Technologies
SnowflakeAlteryxPythonAPIsDbtNetSuiteSalesforceAnaplanWorkdayTableau
Industry Keywords
FP&AFinance AnalyticsSaaSData GovernanceComplianceERPCRMHRISChange ManagementAI-Assisted Analytics
Tech Stack
Tools & technologiesCloudERPPythonSQLTableau
About the role
Key responsibilities & impact- Own Finance analytics engineering and automation across Snowflake, SQL, workflow automation, controls, integrations, and downstream Finance consumption
- Translate Finance requirements and approved business definitions into scalable technical solutions
- Build and maintain Finance-ready consumption views, analytical models, reconciliations, and reusable datasets
- Perform hands-on SQL analysis, lineage tracing, impact assessment, and root-cause investigation across Finance data flows
- Establish and automate technical controls, reconciliations, data-quality checks, regression tests, monitoring, release validation, and recovery procedures
- Lead Finance automation and workflow engineering across tools such as Alteryx, Python, APIs, or comparable platforms
- Serve as a primary Finance technical partner to Data Engineering
- Support the technical architecture and productionization of AI-assisted Finance workflows and analytical agents
- Manage and develop Finance automation engineering capacity, including coaching team members and strengthening backup coverage
- Partner across FP&A, Accounting, RevOps, Product, IT, and other teams to deliver sustainable cross-system solutions
Requirements
What you’ll need- 6+ years of experience in FP&A, finance analytics, analytics engineering, financial data, automation, or a related technical Finance role
- Strong Finance or FP&A domain knowledge
- Strong hands-on SQL skills
- Experience with Snowflake or a comparable cloud data platform
- Experience with data modeling, lineage analysis, validation, troubleshooting, and building reporting- or consumption-ready datasets
- Ability to translate ambiguous Finance questions into trustworthy data answers
- Experience building analytical consumption layers, semantic or reporting-ready datasets, reusable views, or similar Finance-facing data products
- Experience building automated analytical workflows using Alteryx, Python, dbt, APIs, or comparable platforms
- Working knowledge of production controls, testing, monitoring, documentation, change management, and root-cause analysis
- Prior people management or strong technical-lead experience
- Experience in a SaaS or subscription business is valued
- Experience partnering with centralized Data Engineering teams is valued
- Familiarity with ERP, CRM, planning, HRIS, and reporting platforms such as NetSuite, Salesforce, Anaplan, Workday, or Tableau is valued
- Experience with data governance, semantic layers, metadata, lineage, or certification practices is valued
- Experience evaluating or productionizing AI-assisted analytics, LLM, agent, or MCP-style workflows is valued
- Capacity to serve in compliance with U.S. export controls
Benefits
Comp & perks- Bonus eligibility
- Medical benefits
- Retirement benefits
- Financial benefits
- Wellness benefits
- Paid time off
- Employee discounts
- Growth support through all stages of careers
- Diverse, equitable, and inclusive workplace