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For Companies At a Glance
- Tasks: Drive sales forecasting and analyse pipeline trends to ensure predictable revenue outcomes.
- Company: Join Omnissa, a forward-thinking company focused on data-driven revenue operations.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by optimising sales processes and driving business success.
- Qualifications: 5+ years in Revenue Operations with strong analytical and technical skills.
- Other info: Collaborative environment with a focus on innovation and efficiency.
The predicted salary is between 36000 - 60000 £ per year.
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.
- 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.
Sales Operations BI Analyst in Manchester employer: Omnissa
Contact Detail:
Omnissa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Operations BI Analyst in Manchester
✨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 you might not find on job boards.
✨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 around sales forecasting and data analysis.
✨Tip Number 3
Practice your data storytelling skills. Be ready to explain complex insights in simple terms, as this will impress interviewers and show your communication prowess.
✨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 serious about joining the team.
We think you need these skills to ace Sales Operations BI Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Sales Operations BI Analyst role. Highlight your forecasting expertise and any relevant tools you've used, like Salesforce or Tableau.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've improved forecasting accuracy or streamlined processes in previous jobs.
Showcase Your Analytical Skills: In your application, emphasise your ability to interpret complex data and provide actionable insights. We love candidates who can turn numbers into stories that drive decision-making!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Omnissa
✨Know Your Numbers
Before the interview, brush up on key metrics related to sales forecasting and pipeline analytics. Be ready to discuss how you've used data to drive decisions in your previous roles. This shows you understand the importance of data-driven insights in revenue operations.
✨Master the Tools
Familiarise yourself with the tools mentioned in the job description, like Salesforce, Clari, and Tableau. If you can, prepare examples of how you've used these platforms to enhance forecasting accuracy or streamline processes. This will demonstrate your technical proficiency and readiness for the role.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical situations related to pipeline health or forecast variances. Practice articulating your thought process and how you would approach identifying risks and opportunities. This will showcase your analytical skills and problem-solving abilities.
✨Show Your Collaborative Spirit
Since the role involves working closely with Sales, Finance, and Marketing teams, be prepared to discuss your experience in cross-functional collaboration. Share specific examples of how you've partnered with other departments to improve forecasting accuracy or resolve issues. This highlights your teamwork skills and alignment with the company culture.