RevOps BI Analyst

Omnissa•Bad Nauheim, TN

22d•$108,300 - $150,000•Remote

About The Position

We are Omnissa! Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions—including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—into a seamless, autonomous workspace that adats to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost. Guided by our Core Values—Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—we’re growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we’d love to hear from you. What is the opportunity? As a RevOps BI Analyst in Revenue Operations at Omnissa, your primary focus will be on driving accurate and actionable sales forecasting. You will analyze pipeline trends, forecast performance, and identify risks and opportunities to ensure predictable revenue outcomes. By leveraging data-driven insights, you will help refine forecasting models, improve forecast accuracy, and provide visibility into future revenue. Your work will enable leadership to make informed decisions, align resources effectively, and accelerate growth through proactive planning. Here is a breakdown: Sales Forecasting & Pipeline Analytics Forecast Accuracy & Predictability: Develop and refine forecasting models to improve accuracy and provide clear visibility into future revenue performance. Pipeline Health Analysis: Monitor and analyze pipeline trends, identify risks and opportunities, and deliver actionable insights to ensure predictable revenue outcomes. Variance & Risk Assessment: Track forecast vs. actual performance, highlight variances, and recommend corrective actions to mitigate risk. Revenue Operations & Process Optimization Optimize Forecasting Workflows: Streamline forecasting and pipeline management processes to reduce friction and improve efficiency across GTM teams. Identify Bottlenecks: Analyze the sales funnel to uncover points of stagnation and collaborate cross-functionally to resolve issues impacting forecast reliability. Data Analysis & Performance Insights Forecasting Dashboards: Build and maintain dashboards that provide real-time visibility into forecast accuracy, pipeline health, and revenue projections. Data-Driven Recommendations: Use CRM and analytics tools to deliver insights that inform GTM strategy and improve forecasting precision. Cross-Functional Collaboration & Support Partner with Sales & Finance: Work closely with Sales, Finance, and Marketing teams to align on forecasting assumptions, validate pipeline data, and support strategic planning. Enable Leadership Decisions: Provide clear, actionable insights that empower leadership to make informed decisions on resource allocation and revenue planning. Tools, Technology & Automation Leverage Forecasting Platforms: Utilize tools such as Salesforce, Clari, Tableau, and other analytics platforms to enhance forecasting accuracy and pipeline visibility. Automate Forecasting Processes: Identify opportunities for automation to reduce manual effort and improve scalability in forecasting and pipeline management.

Requirements

Bachelor’s degree in Business, Finance, Data Analytics, or a related field; advanced degree preferred.
5+ years in Revenue Operations, Sales Operations, or a similar role with a strong focus on forecasting and pipeline analytics in a SaaS, tech, or B2B environment.
Proven ability to build, refine, and manage sales forecasting models; experience with pipeline health analysis and variance reporting.
Advanced knowledge of CRM systems (e.g., Salesforce), forecasting platforms (e.g., Clari), and BI tools (e.g., Tableau, Power BI). Strong Excel modeling and data manipulation skills required.
Ability to interpret complex pipeline and revenue data, identify trends, and translate insights into actionable recommendations for leadership.
Skilled at presenting forecast insights clearly to both technical and non-technical stakeholders; ability to influence decision-making through data storytelling.
Experience partnering with Sales, Finance, and Marketing teams to align on forecasting assumptions and improve forecast accuracy.
Strong organizational skills with the ability to manage multiple forecasting and analytics initiatives in a fast-paced environment.

Nice To Haves

Process-Oriented: A strong understanding of revenue operations processes and experience in mapping and optimizing workflows to drive efficiency.
Revenue-Focused: A deep understanding of KPIs that drive revenue growth
Problem-Solver: Ability to analyze complex problems, identify root causes, and propose solutions to improve revenue outcomes.
Tech-Savvy: A passion for leveraging technology to solve business problems, streamline processes, and enhance data visibility.
Collaborative: A team player who thrives in a cross-functional, fast-paced environment and is comfortable working with teams across sales, marketing, product, and customer success.

Responsibilities

Develop and refine forecasting models to improve accuracy and provide clear visibility into future revenue performance.
Monitor and analyze pipeline trends, identify risks and opportunities, and deliver actionable insights to ensure predictable revenue outcomes.
Track forecast vs. actual performance, highlight variances, and recommend corrective actions to mitigate risk.
Streamline forecasting and pipeline management processes to reduce friction and improve efficiency across GTM teams.
Analyze the sales funnel to uncover points of stagnation and collaborate cross-functionally to resolve issues impacting forecast reliability.
Build and maintain dashboards that provide real-time visibility into forecast accuracy, pipeline health, and revenue projections.
Use CRM and analytics tools to deliver insights that inform GTM strategy and improve forecasting precision.
Work closely with Sales, Finance, and Marketing teams to align on forecasting assumptions, validate pipeline data, and support strategic planning.
Provide clear, actionable insights that empower leadership to make informed decisions on resource allocation and revenue planning.
Utilize tools such as Salesforce, Clari, Tableau, and other analytics platforms to enhance forecasting accuracy and pipeline visibility.
Identify opportunities for automation to reduce manual effort and improve scalability in forecasting and pipeline management.