Sr. Revenue Operations Analyst (Data & Systems)

Pluralsight•Dallas, TX

1d•Hybrid

About The Position

We are seeking a Sr. Revenue Operations Analyst (Data & Systems) to own the quality, reliability, and usability of data across our revenue systems by elevating the quality of processes driving key data points in our Salesforce and Revenue Tech stack. This role will begin with a deep focus on Salesforce data integrity and evolve into designing how data flows seamlessly through the entire go-to-market (GTM) motion, ensuring reps have the right data at the right moment to drive productivity and revenue outcomes. This is a high-impact role at the intersection of systems, process, and analytics. This role is ideal for someone who wants to move beyond reporting into shaping how revenue teams operate.

Requirements

4+ years in Revenue Operations or Sales Operations roles in SaaS environment
4+ years Salesforce (data model, reporting, automation, governance); CPQ or related Quoting tool experience
Led governance and optimization of Salesforce data ecosystem, including enrichment tools, integrations, and data quality frameworks to ensure reliable reporting, territory integrity, and pipeline accuracy
Skilled in documenting business processes, to align technical and business requirements.
Experience utilizing Jira, Confluence, and/or Lucidchart for requirements and process documentation
Experience working cross-functionally with Sales, Marketing, and Customer Success teams
Sophisticated proficiency in Excel and Salesforce reporting. Ability to pull data, analyze, and translate into actionable insights.
Experience with data enrichment tools (e.g., ZoomInfo, Dun & Bradstreet) and deduplication strategies
Familiarity with sales engagement platforms (Gong, LinkedIn Sales Nav, ZoomInfo)

Nice To Haves

Snowflake and Tableau are a plus.

Responsibilities

Immediately audit and remediate data quality issues across Salesforce (accounts, contacts, opportunities, activities)
Partner with Sales, Marketing, Partnerships, and Customer Success to identify critical data gaps impacting pipeline visibility and forecasting.
Partner with Enterprise Technology and Data Governance teams to build scalable processes for ongoing data hygiene (automation, monitoring, alerting)
Identify where data friction exists and recommend process improvements to streamline workflows.
Partner with Enablement to align workflows with rep behavior and adoption.
Optimize field design, page layouts, and automation to reduce rep burden while improving data capture.
Define and enforce data governance standards (field usage, required fields, validation logic, deduplication rules).
Own how data moves across GTM systems directly impacting reps
Propose solutions that encompass the rep and leader perspective
Own enrichment strategy (third-party data, firmographics, technographics) and design “just-in-time data delivery” providing the insights at key moments