FIS

Revenue Operations Data Visualization Analyst

FIS

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $106,800 - $179,430 per year

Job Level

Mid-LevelSenior

Tech Stack

ETLSQLTableau

About the role

  • Design and maintain intuitive dashboards and report that support business stakeholders, ensuring outputs are actionable, aligned with business objectives, and scalable
  • Support user adoption by leading training sessions and helping stakeholders interpret results
  • Lead complex analysis projects to identify inefficiencies and/or performance issues
  • Collaborate across the business to uphold strong data governance, focusing on consistency, accuracy, and clarity of sales data
  • Partner with corporate data team to shape data pipelines and streamline system integrations
  • Translate business questions into data-driven solutions that directly support sales strategy and execution
  • Deliver accurate and timely responses to ad hoc reporting requests, ensuring reliability and clarity
  • Document and rigorously test analytical solutions to maintain high standards of data integrity
  • Apply AI and machine learning techniques to identify trends, forecast sales performance, and optimize performance
  • Automate data preparation and reporting processes to improve efficiency and scalability

Requirements

  • 5+ years of experience in revenue operations, sales analytics, or related analytical roles
  • Strong understanding of CRM systems, operations, processes, and revenue operations KPIs
  • Hands-on experience with both datasets and dashboards with Tableau and Power BI
  • Proficiency in SQL with demonstrated ability to write complex queries; experience with data modeling and structuring datasets for scalable analytics
  • Familiarity with ETL/data prep tools (Tableau Prep, Fabric) and best practices in data governance and QA
  • Experience supporting CRM migration (e.g. Salesforce) from data mapping and validation is a plus
  • Ability to frame insights in a clear business context, influence decision making, and support stakeholder adoption of analytics tools
  • Interest or experience in AI/ML applications in business analytics, such as natural language processing, clustering, or predictive analytics is a plus
Benefits
  • Competitive salary and benefits
  • Time to support charities and give back to your community
  • Fantastic range of benefits designed to help support your lifestyle and well being
  • 401K match and Employee Stock Purchase Program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata governanceSQLdata modelingmachine learningAI techniquesdata preparationreportingdashboard designperformance optimization
Soft skills
communicationcollaborationinfluencetrainingproblem-solvingstakeholder engagementclarityadaptabilityanalytical thinkingbusiness acumen