At a Glance
- Tasks: Drive sales forecasting accuracy and analyse pipeline trends for revenue growth.
- Company: Join Omnissa, a forward-thinking company in Revenue Operations.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Make a real impact by leveraging data to drive informed business decisions.
- Qualifications: 5+ years in Revenue Operations with strong analytical and forecasting skills.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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.
- 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.
- 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.
- 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.
- 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.
- 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.
What will you bring to Omnissa?
- Education: Bachelor’s degree in Business, Finance, Data Analytics, or a related field; advanced degree preferred.
- Experience: 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.
- Forecasting Expertise: Proven ability to build, refine, and manage sales forecasting models; experience with pipeline health analysis and variance reporting.
- Technical Proficiency: 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.
- Analytical Skills: Ability to interpret complex pipeline and revenue data, identify trends, and translate insights into actionable recommendations for leadership.
- Communication Skills: Skilled at presenting forecast insights clearly to both technical and non‑technical stakeholders; ability to influence decision‑making through data storytelling.
- Collaboration: Experience partnering with Sales, Finance, and Marketing teams to align on forecasting assumptions and improve forecast accuracy.
- Project Management: Strong organizational skills with the ability to manage multiple forecasting and analytics initiatives in a fast‑paced environment.
Desirable Traits
- 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.
Go To Market Planning & Insights Lead employer: Omnissa
Contact Detail:
Omnissa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Go To Market Planning & Insights Lead
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills align with their goals, especially in revenue operations and forecasting.
✨Tip Number 3
Practice your data storytelling skills. Be ready to explain complex insights in simple terms, as this will impress interviewers and show you can communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re genuinely interested in joining our team.
We think you need these skills to ace Go To Market Planning & Insights Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Go To Market Planning & Insights Lead role. Highlight your experience in revenue operations and forecasting, and don’t forget to sprinkle in some of those key skills mentioned in the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for this role. Share specific examples of how you've driven sales forecasting accuracy and collaborated with cross-functional teams.
Show Off Your Analytical Skills: Since this role is all about data-driven insights, make sure to showcase your analytical skills in your application. Mention any tools you’ve used, like Salesforce or Tableau, and how they helped you improve forecasting models.
Apply Through Our Website: We love it when candidates apply directly through our website! It helps us keep track of applications better. So, don’t hesitate – hit that apply button and let’s get started on this journey together!
How to prepare for a job interview at Omnissa
✨Know Your Numbers
Before the interview, brush up on your forecasting models and pipeline analytics. Be ready to discuss specific metrics you've worked with and how they impacted revenue outcomes. This shows you’re not just familiar with the concepts but have practical experience.
✨Showcase Your Tools
Familiarise yourself with the tools mentioned in the job description, like Salesforce and Tableau. If you’ve used these platforms, prepare examples of how you leveraged them to improve forecasting accuracy or streamline processes. This will demonstrate your technical proficiency.
✨Prepare for Data Storytelling
Practice explaining complex data insights in a simple way. Think about how you can present your past experiences in a way that highlights your analytical skills and ability to influence decisions. Use storytelling techniques to make your insights relatable and impactful.
✨Collaborate and Communicate
Be ready to discuss how you’ve worked cross-functionally with Sales, Finance, and Marketing teams. Highlight specific instances where your collaboration led to improved forecasting or pipeline health. This will show you understand the importance of teamwork in achieving revenue goals.