At a Glance
- Tasks: Transform complex sales data into actionable insights to boost performance and customer experience.
- Company: Join a leading automotive company focused on innovation and data-driven decisions.
- Benefits: Enjoy 25 days holiday, private healthcare, and exclusive employee discounts.
- Other info: Full-time role in Coventry with opportunities for travel and career growth.
- Why this job: Make a real impact by driving commercial effectiveness through data analysis.
- Qualifications: Experience in sales operations and strong analytical skills required.
The predicted salary is between 50000 - 65000 € per year.
We are looking for a Sales Operations Analytics Manager in the Group Sales and Marketing Department to join our Global Commercial site in Coventry. This role transforms complex sales and customer data into actionable insights to improve commercial performance, customer experience and operational efficiency.
Responsibilities
- Lead the development and continuous improvement of end‑to‑end sales analytics and reporting capabilities across the full customer journey.
- Build and maintain robust sales performance dashboards, KPI frameworks and automated reporting systems to provide real‑time business visibility.
- Analyse sales, channel, customer and regional performance data to identify trends, opportunities, operational risks and areas for improvement.
- Deliver regular commercial performance reviews and present insights and recommendations to senior stakeholders and leadership teams.
- Support forecasting, demand planning and sales strategy development through predictive analytics and data‑driven modelling.
- Partner with Marketing and CRM teams to analyse customer behaviour, segmentation and conversion trends to support precision marketing and personalised customer engagement strategies.
- Work collaboratively with IT and digital teams to enhance CRM systems, reporting tools and sales platforms to improve automation, efficiency and data quality.
- Conduct root‑cause analysis to understand performance gaps and recommend practical actions to improve commercial effectiveness and customer outcomes.
- Drive continuous improvement in data governance, reporting accuracy, analytical capability and business intelligence processes.
- Support the wider business in developing a data‑led culture and promote best practice in reporting and analytical decision‑making.
Qualifications
- Experience in sales operations, commercial analytics, business intelligence or data analysis within an automotive OEM environment; experience within new energy vehicles is advantageous.
- Strong expertise in sales performance analysis, data modelling, forecasting, customer insights and commercial reporting.
- Proven ability to translate complex datasets into clear business recommendations and operational improvements.
- Advanced Excel skills, including pivot tables, formulas and data manipulation techniques.
- Strong SQL capability and experience working with large datasets from multiple data sources.
- Experience using Power BI, Tableau or similar visualization and dashboarding tools.
- Knowledge of Python or R for analytics, automation or statistical modelling is beneficial.
- Excellent stakeholder management and communication skills with the ability to influence and present at different levels of the business.
- A proactive, commercially minded and solutions‑focused approach with strong attention to detail.
- Ability to manage multiple priorities and deliver high‑quality insights within fast‑paced environments.
- A passion for continuous improvement, innovation and data‑driven decision making.
Benefits
- 25 days’ holiday plus bank holidays.
- Pension scheme access.
- Annual bonus – non‑contractual.
- Private healthcare.
- Access to the Employee Car Ownership Scheme.
- Group income protection based on length of service.
- Family friendly policies.
- Exclusive employee discount, wellbeing and recognition platform.
Additional Information
- Working from the Coventry office, on‑site, full time.
- Frequent travel may be required to visit different entities; applicants must be able to travel freely without restrictions.
Equal Employment Opportunity
We welcome applications from individuals of all backgrounds and are dedicated to providing reasonable adjustments during the interview process. If you require any special assistance or adjustments, please let us know in advance so we can ensure a fair and accessible interview experience.
Data Analysis / Sales Operations Analytics Manager in Coventry employer: Group Lotus
Join our dynamic team in Coventry as a Sales Operations Analytics Manager, where you will play a pivotal role in transforming data into actionable insights that drive commercial success. We pride ourselves on fostering a collaborative work culture that values continuous improvement and innovation, offering robust employee benefits including private healthcare, a generous holiday allowance, and opportunities for professional growth. With a focus on data-driven decision-making, you'll have the chance to influence key stakeholders and contribute to a thriving, data-led environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analysis / Sales Operations Analytics Manager in Coventry
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your past experiences to demonstrate how you've turned data into actionable insights.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your skill set!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. It’s a simple way to stand out from the crowd.
We think you need these skills to ace Data Analysis / Sales Operations Analytics Manager in Coventry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Sales Operations Analytics Manager. Highlight your experience in sales operations and data analysis, especially within the automotive sector. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven decision making and how you can contribute to our team. Be sure to mention any relevant tools like Power BI or SQL that you've mastered.
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've transformed complex data into actionable insights. We love seeing real-world applications of your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Group Lotus
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis and sales operations. Be ready to discuss specific projects where you transformed complex datasets into actionable insights. This will show your expertise and ability to deliver results.
✨Showcase Your Technical Skills
Make sure to highlight your advanced Excel skills, SQL capabilities, and experience with tools like Power BI or Tableau. Prepare examples of how you've used these tools to create dashboards or reports that improved business performance.
✨Prepare for Stakeholder Engagement
Since this role involves presenting insights to senior stakeholders, practice articulating your findings clearly and confidently. Think of a few key insights from your previous roles that you can share, demonstrating your ability to influence decision-making.
✨Emphasise Continuous Improvement
This position values a proactive approach to improvement. Be ready to discuss how you've driven continuous improvement in your previous roles, whether through data governance, reporting accuracy, or enhancing analytical capabilities.
