Manager, Finance Analytics Engineering & Automation

Alteryx, Inc.; Colorado; Hybrid; USD 139,000 - 152,000; Full time

Job summary

Alteryx is seeking a hands-on Manager, Finance Analytics Engineering & Automation to turn Finance requirements into trusted analytical data products and automated workflows. You will work with FP&A, Finance Data & Analytics, and Data Engineering to enable governed enterprise data for Finance decision-making.

The role emphasizes solving business questions, tracing source data and lineage, building reusable consumption layers, and ensuring controls and production-ready solutions across Alteryx

Qualifications

• 6+ years of experience in FP&A, finance analytics, analytics engineering, or a technical Finance role.
• Strong Finance domain knowledge and the ability to translate definitions into technical requirements.
• Hands-on SQL skills with Snowflake or similar cloud data platform; data modeling and lineage.
• Experience building analytics consumption layers and data products.
• Experience creating automated analytical workflows with Alteryx, Python, APIs, or similar.

Responsibilities

• 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, working with Finance Data & Analytics on product priorities and with Data Engineering on enterprise pipelines and platform standards.
• Build and maintain Finance-ready consumption views, analytical models, reconciliations, and reusable datasets that make governed enterprise data easier for FP&A and Finance users to consume without unnecessary duplication.
• Perform hands-on SQL analysis, lineage tracing, impact assessment, and root-cause investigation across Finance data flows, especially when definitions, sources, joins, or upstream systems change.
• Establish and automate technical controls for critical Finance processes, including reconciliations, data-quality checks, regression tests, monitoring, release validation, and recovery procedures.
• Lead Finance automation and workflow engineering, setting standards for maintainability, production support, documentation, ownership, and reusable patterns across tools such as Alteryx, Python, APIs, or comparable platforms.
• Serve as a primary Finance technical partner to Data Engineering, helping separate Finance-owned analytical logic from deeper platform engineering while ensuring clean handoffs and clear ownership.
• Support the technical architecture and productionization of AI-assisted Finance workflows and analytical agents, with emphasis on governed sources, deterministic execution where needed, traceability, testing, and safe failure.
• Manage and develop Finance automation engineering capacity, including coaching team members, strengthening backup coverage, and building durable technical capability rather than key-person dependency.
• Partner across FP&A, Accounting, RevOps, Product, IT, and other teams to deliver cross-system solutions that are practical for Finance users and sustainable in production.

Skills

SQL

Snowflake

Alteryx

Python

APIs

dbt

Analytics engineering

Automation

Tools

dbt

APIs

Python

Job description

Meet the Moment with Alteryx

We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation. You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible. If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.

Alteryx is searching for a Manager, Finance Analytics Engineering & Automation. This position is remote-friendly.

Position Overview

Alteryx is looking for a hands-on manager who sits at the intersection of Finance, analytics engineering, and automation. This role will turn Finance requirements into trusted analytical data products, reusable consumption layers, automated workflows, controls, and integrations. You will work closely with FP&A, Finance Data & Analytics, Data Engineering, and business partners to make governed enterprise data easier for Finance to use while improving reliability, scalability, and decision support. This is not a central data engineering role and it is not a traditional Finance systems administration role. Enterprise Data Engineering will continue to own deeper platform and production-pipeline engineering. This role sits closer to Finance: understanding the business question, tracing source data and lineage, shaping Finance-ready analytical layers, and building repeatable solutions that are controlled, supportable, and useful for decision-making.

Primary Responsibilities

• 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, working with Finance Data & Analytics on product priorities and with Data Engineering on enterprise pipelines and platform standards.
• Build and maintain Finance-ready consumption views, analytical models, reconciliations, and reusable datasets that make governed enterprise data easier for FP&A and Finance users to consume without unnecessary duplication.
• Perform hands-on SQL analysis, lineage tracing, impact assessment, and root-cause investigation across Finance data flows, especially when definitions, sources, joins, or upstream systems change.
• Establish and automate technical controls for critical Finance processes, including reconciliations, data-quality checks, regression tests, monitoring, release validation, and recovery procedures.
• Lead Finance automation and workflow engineering, setting standards for maintainability, production support, documentation, ownership, and reusable patterns across tools such as Alteryx, Python, APIs, or comparable platforms.
• Serve as a primary Finance technical partner to Data Engineering, helping separate Finance-owned analytical logic from deeper platform engineering while ensuring clean handoffs and clear ownership.
• Support the technical architecture and productionization of AI-assisted Finance workflows and analytical agents, with emphasis on governed sources, deterministic execution where needed, traceability, testing, and safe failure.
• Manage and develop Finance automation engineering capacity, including coaching team members, strengthening backup coverage, and building durable technical capability rather than key-person dependency.
• Partner across FP&A, Accounting, RevOps, Product, IT, and other teams to deliver cross-system solutions that are practical for Finance users and sustainable in production.

Qualifications

• 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 and the ability to understand how business definitions, planning processes, reporting, and controls translate into technical requirements.
• Strong hands-on SQL skills and experience working in Snowflake or a comparable cloud data platform, including data modeling, lineage analysis, validation, troubleshooting, and building reporting- or consumption-ready datasets.
• Demonstrated ability to move from an ambiguous Finance question to a trustworthy data answer by interrogating source data, challenging assumptions, and validating results.
• Experience building or supporting analytical consumption layers, semantic or reporting-ready datasets, reusable views, or similar Finance-facing data products.
• Experience building automated analytical workflows using tools such as Alteryx, Python, dbt, APIs, or comparable platforms.
• Deep Alteryx expertise is not required. Working knowledge of production controls, testing, monitoring, documentation, change management, and root-cause analysis.
• Prior people management or strong technical-lead experience, with the ability to coach hands-on practitioners while also setting technical direction.

Valued Skills

• Experience in a SaaS or subscription business, including exposure to ARR, bookings, renewals, revenue, or other recurring Finance metrics.
• Experience partnering with centralized Data Engineering teams while owning Finance-specific analytics, consumption, or automation layers.
• Familiarity with ERP, CRM, planning, HRIS, and reporting platforms such as NetSuite, Salesforce, Anaplan, Workday, or Tableau.
• Experience with data governance, semantic layers, metadata, lineage, or certification practices.
• Experience evaluating or productionizing AI-assisted analytics, LLM, agent, or MCP-style workflows where accuracy, traceability, and controls matter.

What Success Looks Like

Finance can consume governed enterprise data through clear, reusable analytical layers without creating unnecessary duplicate assets. Complex data questions and production issues can be diagnosed and resolved without depending on a single senior leader to perform the technical investigation. Finance automation and analytical workflows have clear ownership, controls, documentation, monitoring, and backup coverage. Finance and Data Engineering operate with clear boundaries and strong partnership: Finance owns business-facing analytical logic and consumption, while Data Engineering owns deeper enterprise pipeline and platform engineering.

Compensation

Alteryx is committed to fair, equitable, and transparent compensation. Final compensation will be determined by various factors such as your relevant work experience, education, certifications, skills, and geographic location. The salary range for this role in the United States is $139,475 - $151,970. In addition, you may be eligible for additional compensation, such as a bonus. Employees may also be eligible for a wide range of other benefits, including medical, retirement, financial, wellness, time off, employee discounts, and others.

Benefits & Perks

Alteryx has amazing benefits for all Associates which can be viewed here. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Alteryx will consider for employment qualified applicants with arrest and conviction records. This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.

Who We Are

Alteryx is a leading AI-ready data and analytics company that powers actionable insights to help organizations drive smarter, faster decisions with AI-ready data. More than 8,000 customers around the world rely on Alteryx to automate analytics, improve revenue performance, manage costs, and mitigate risk across their businesses.

Disclaimers

If you require reasonable accommodation as part of the recruiting process, please contact [e-mail].

Alteryx, Inc. is an Equal Employment Opportunity Employer.

Unsolicited third party/agency profiles and resumes will not be considered.

We support a growth mindset for our associates through all stages of their careers.