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- Tasks: Design and deliver analytical solutions that drive business impact across revenue operations.
- Company: Join a leading data and AI company known for its inclusive culture and innovative technologies.
- Benefits: Enjoy a flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on curiosity and authentic collaboration.
- Why this job: Be at the forefront of data-driven decisions and make a real difference in the business.
- Qualifications: 2+ years of experience in analytics and a degree in a relevant field.
The predicted salary is between 50000 - 70000 £ per year.
We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
The Revenue Operations Team is looking to hire a Senior Associate Data Scientist to design and deliver analytical solutions for strategic use across the business. This role puts you at the center of revenue‑critical decisions, partnering with Sales and Customer Success to turn data into real business impact. You’ll help scale our analytics capabilities while growing your skills in a team that values curiosity, ownership, and authentic collaboration.
As a Senior Associate Data Scientist, you will:
- Lead meetings with division management and our internal customers in other divisions to define the business needs and analytical solutions to drive the business forward.
- Build data assets, understanding much of SAS’s data as it pertains to the analytical requirements of the business. Data assets include ‘feature engineering’ to improve analysis, enhancing the feature store of revenue operations.
- Conduct analysis that helps drive enhanced decision making in both revenue operations and other supported divisions (e.g. Sales, Customer Success Channels).
- Build predictive models designed to help decision making across the business, using both supervised and unsupervised methods.
- Ensure deployment of analytics in a scalable and automated manner (i.e. delivered with tools such as SAS Model Manager, into tools such as Revegy, Salesloft and CRM systems). Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.
- Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
Additional Responsibilities:
- Provide guidance and support to other team members in delivery of analytical solutions.
- Document processes and procedures fully to enable auditing and sharing of content.
- Prepare presentations in multiple formats to gain understanding and buy-in of work.
- Complete monthly reports on core KPIs for key business partners.
Required qualifications:
- 2+ years of relevant professional experience.
- Bachelor’s degree in an analytical field such as Mathematics, Statistics or similar technical quantitative field such as Engineering, IT, Computer Sciences or equivalent.
- An equivalent combination of related education, training and experience may be considered in place of the above qualifications.
Additional competencies, knowledge and skills:
- SAS Programming skills and knowledge of the latest SAS Software (Visual Analytics, Model Studio, SAS Studio etc.).
- Possess strong business acumen coupled with demonstrated technical ability to develop, explore, analyze, and present data and solutions to a business audience.
At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Senior Associate Data Scientist - Rev Ops in London employer: SAS
Contact Detail:
SAS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Associate Data Scientist - Rev Ops in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or through our Talent Community. Ask them about their experiences and any tips they might have for landing the Senior Associate Data Scientist role.
✨Tip Number 2
Prepare for those interviews by brushing up on your SAS skills and analytical techniques. We want to see how you can turn data into actionable insights, so be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on our website and apply directly. Sometimes, the best opportunities come from being proactive and showing your enthusiasm for joining our innovative team.
✨Tip Number 4
Show us your curiosity! During interviews, ask insightful questions about our projects and how you can contribute. This not only demonstrates your interest but also helps you understand if we’re the right fit for you.
We think you need these skills to ace Senior Associate Data Scientist - Rev Ops in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Associate Data Scientist role. Highlight your analytical prowess and any relevant projects you've worked on, especially those involving SAS programming.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our Revenue Operations Team. Be authentic and let your personality come through.
Showcase Your Curiosity: We love candidates who are curious and eager to learn. In your application, mention any instances where you've gone above and beyond to explore new data techniques or tools. This will show us you're a great fit for our culture!
Apply Through Our Website: To ensure your application gets the attention it deserves, make sure to apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at SAS
✨Know Your Data Inside Out
As a Senior Associate Data Scientist, you'll be working with data daily. Make sure you understand the data assets relevant to the role, including feature engineering techniques. Brush up on your SAS programming skills and be ready to discuss how you've used data to drive business decisions in the past.
✨Showcase Your Analytical Solutions
Prepare to discuss specific analytical solutions you've designed and delivered in previous roles. Be ready to explain your thought process, the tools you used, and the impact your work had on the business. This will demonstrate your ability to turn data into actionable insights.
✨Emphasise Collaboration and Communication
This role involves partnering with Sales and Customer Success teams, so highlight your experience in cross-functional collaboration. Share examples of how you've led meetings or worked with different divisions to define business needs and deliver analytical solutions.
✨Align with Company Values
Familiarise yourself with the company's values: curiosity, passion, authenticity, and accountability. Think of examples from your career that reflect these values and be prepared to share them during the interview. This will show that you're not just a fit for the role, but also for the company culture.