Revenue Operations Data Visualization Analyst
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Job Description
Revenue Operations Data Visualization Analyst at FIS focusing on modernizing sales reporting and delivering insights for strategic decisions. Collaborating with data teams and stakeholders for data-driven solutions.
Responsibilities:
- 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
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