Principal Sales Infrastructure Analyst, Analytics Engineering

Posted today

atlassianDenver (CO)

Data Scientists Computer Systems Design Services

SENIORITY

Lead

SALARY

$129,978 - $204,450 per year

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About the role

Principal Sales Infrastructure Analyst - Analytics Engineering Analytics & Data Science | Remote, Americas | Remote, Remote | Austin, United States | Salt Lake City, United StatesWe're looking for a versatile, seasoned sales data analyst or analytics engineer that will focus on driving data alignment between enterprise go-to-market and finance. You'll design clean, robust data pipelines and infrastructure to monitor data drift between systems/applications like Salesforce, Oracle Fusion, Gainsight, and Databricks. As an experienced senior analytics engineer on our team, you'll help evolve our data stack, champion best practices in data processing + analytics design, and build a robust context layer on top of our data that enables AI agents to interact safely.

Responsibilities: Design, build, and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows Lead the development of data products and an AI context layer that enables analytics and data access to scale across the company Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts Partner with finance, data engineering, and other x-functional teams to track and flag data inconsistencies that obscure the company's ability to accurately close our books Execute sizing analyses for transformational and ad-hoc data infrastructure changes, including well-defined impact analyses to support new and ongoing initiatives and product launches, conducting investigations and QA on source data quality Develop SME-level knowledge and ownership for core system data transformations (owning the requirements → UAT → DE implementation cycle for a new product or data structure) Leverage available tools to find efficiencies and process improvements to help us and our partner teams (deal desk, central analytics) remove manual processes and improve source data accuracy Investigate reported bugs or deficiencies, working with business analysts and data engineering to do UAT/QA on simple bug-fix & feature releases In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $156,600 - $204,450 Zone B: $140,940 - $184,005 Zone C: $129,978 - $169,694 This role may also be eligible for benefits, bonuses, commissions, and equity.

Required Experience:

6+ years of experience in Analytics Engineering, Data Engineering, Data Science, Business Intelligence, or similar field.
Expert level proficiency with SQL and data modeling. You know how to architect data models and influence engineering teams to build for scale and consistency
Proficiency in a quantitative programming language, preferably Python
Experience with BI tools such as Tableau, Looker, and know how to enable self-service analytics
Experience with CRM systems like Salesforce or Hubspot and ERP systems like Oracle or Netsuite
Understand effective software and analytics engineering practices and can use AI tools to move faster without creating brittle systems, unclear code, or unnecessary complexity.
Ability to independently structure complex, ambiguous problems from initial framing through delivery and execution with diverse teams up to the senior leadership level
Proactive engagement with the management team to identify, prioritize, develop, and execute strategies that improve our data to enable better decisionmaking
Comfortable collaborating across numerous horizontal partners (sales systems, sales enablement, sales compensation) as well as departmental/vertical stakeholders (marketing, product, finance) to build alignment and deliver results
Excellent problem-solving skills with a focus on delivering business impact through reliable systems

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