AlteryxHiring

Manager, Finance Analytics Engineering & Automation

  • Remote, United States
  • Lead
  • Posted 2 weeks ago
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In one line

Hands-on manager bridging finance and analytics engineering, building governed data products and automated workflows in Snowflake; remote-friendly.

About the role

Sits on the finance side rather than in central data engineering, turning finance requirements into reliable analytical layers and controls while platform teams keep the deeper pipelines.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Snowflake, SQL, Python, APIs, Workflow automation
Posted
13 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Build consumption views, analytical models, reconciliations and reusable datasets for FP&A users
  • Trace lineage, assess impact and investigate root causes when definitions or upstream systems change
  • Automate controls such as reconciliations, data-quality checks, regression tests and monitoring
  • Coach team members and build backup coverage so capability does not rest on one person

What they look for

  • Hands-on experience with Snowflake and advanced SQL
  • A track record turning business requirements into scalable technical solutions
  • Familiarity with workflow automation, APIs and Python or similar tools
  • Able to separate analytical logic from platform engineering and manage clean handoffs
  • Experience supporting finance processes and governed data

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Claude

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Muse

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Message for Muse
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Questions about this job

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: hands-on experience with Snowflake and advanced SQL; a track record turning business requirements into scalable technical solutions; familiarity with workflow automation, APIs and Python or similar tools. Skills it names include Snowflake, SQL, Python, APIs.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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AlteryxRemote, United States
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