Alteryx dezvoltă software de analiză pentru companii, care ajută organizațiile să transforme datele complexe în informații aplicabile. Platforma sa bazată pe inteligență artificială reunește pregătirea și îmbogățirea datelor, analiza, modelarea predictivă, raportarea și inteligența geospațială, sprijinind echipe cu niveluri diferite de expertiză tehnică. Alteryx deservește organizații din sectoare precum consultanță, sănătate și producție, ajutându-le să își eficientizeze fluxurile de lucru analitice și să ia decizii operaționale mai bine fundamentate.
Finance Analytics Engineering Manager, Automation
Lead finance analytics engineering at Alteryx, building governed Snowflake data products and automated workflows. Partner with FP&A and Data Engineering to deliver reliable, controlled decision support.
Descriere
- Lead finance analytics engineering and automation across Snowflake, SQL, workflow tools, controls, integrations, and downstream finance use.
- Turn finance requirements and approved business definitions into scalable technical solutions.
- Create and maintain finance-ready views, analytical models, reconciliations, and reusable datasets.
- Use SQL to analyze finance data flows, trace lineage, assess impacts, and investigate root causes.
- Build and automate controls, reconciliations, data quality checks, regression tests, monitoring, release validation, and recovery processes.
- Direct finance automation and workflow engineering with Alteryx, Python, APIs, or similar platforms.
- Act as a key technical partner to Finance for the Data Engineering team.
- Support the architecture and production rollout of AI-supported finance workflows and analytical agents.
- Manage and grow finance automation engineering capacity through coaching and stronger team backup coverage.
- Work with FP&A, Accounting, RevOps, Product, IT, and other teams on sustainable cross-system solutions.
Cerințe
- At least six years of experience in FP&A, finance analytics, analytics engineering, financial data, automation, or a related technical finance role.
- Strong knowledge of Finance or FP&A.
- Strong practical SQL skills.
- Experience with Snowflake or a comparable cloud data platform.
- Experience in data modeling, lineage analysis, validation, troubleshooting, and preparing datasets for reporting or consumption.
- Ability to turn unclear finance questions into dependable data answers.
- Experience creating analytical consumption layers, semantic or reporting-ready datasets, reusable views, or similar finance-facing data products.
- Experience developing automated analytical workflows with Alteryx, Python, dbt, APIs, or similar platforms.
- Working knowledge of production controls, testing, monitoring, documentation, change management, and root cause analysis.
- Previous people management experience or strong technical leadership experience.
- SaaS or subscription business experience is valued.
- Experience working with centralized Data Engineering teams is valued.
- Familiarity with ERP, CRM, planning, HRIS, and reporting tools 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 putting AI-assisted analytics, LLM, agent, or MCP-style workflows into production is valued.
- Must be able to serve in compliance with U.S. export controls.
Beneficii
- Eligibility for a bonus.
- Medical benefits.
- Retirement benefits.
- Financial benefits.
- Wellness benefits.
- Paid time off.
- Employee discounts.
- Career development support throughout every career stage.
- A diverse, equitable, and inclusive workplace.