Revenue Operations Data Analytics Specialist

FIS

82d • $112,150 - $188,410

About The Position

Join our Revenue Operations Data Analytics team at FIS and play a high-impact role in modernizing sales reporting and strategic decisions. You’ll partner with cross-functional stakeholders and partner with our corporate data team to deliver actionable insights, ensuring high-quality, reliable and scalable data pipelines that power business-critical reporting and analytics. The ideal candidate thrives in fast-moving environments; balances speed with accuracy and turns complex data into clear insights that fuel smarter decisions and growth. We are especially interested in candidates who bring a passion for emerging technologies, including AI and machine learning, and who are excited to explore how these tools can enhance forecasting, performance analysis, and decision-making.

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.

Nice To Haves

• Curious – You ask smart questions, explore new angles, and dig into the 'why'.
• Creative – You bring fresh ideas and innovative approaches to solving complex problems.
• Driven – You take ownership, deliver commitments, and continuously push for improvement.
• Collaborative – You work well across teams, communicate clearly and thrive in fast paced environments.
• Critical Thinker – You go beyond reporting the numbers, connecting insights to business impact.
• Organized – You stay on top of details, manage your time and priorities well while keeping data structured and clean.
• Continuous Learner – You embrace change, stay curious about new technologies (including AI) and apply them proactively to real business challenges.

Responsibilities

• Design and maintain intuitive dashboards and reports 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.

Benefits

• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees