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- Tasks: Build and scale audience segmentation for impactful marketing campaigns using Salesforce Data Cloud.
- Company: Join a dynamic team focused on data-driven marketing initiatives.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by leveraging data to reach millions of customers.
- Qualifications: 7+ years in marketing analytics with expert SQL skills and Salesforce experience.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Senior Marketing Analyst (Data Scientist III) with deep expertise in Salesforce Data Cloud and advanced SQL to join a high-impact Marketing Analytics team supporting Business Messaging initiatives. This role will focus on building and scaling audience segmentation capabilities to power data-driven marketing campaigns reaching millions of customers. The ideal candidate is highly technical, hands-on with large-scale datasets, and experienced in partnering cross-functionally to develop scalable audience systems and reporting pipelines.
Key Responsibilities
- Build and maintain complex audience segments in Salesforce Data Cloud
- Develop Calculated Insights using advanced SQL
- Identify and define audience signals to drive targeted marketing campaigns
- Activate audience segments to marketing automation platforms
- Collaborate with Data Engineers to design and enhance data pipelines supporting marketing systems
- Ensure reliable data flow into reporting and segmentation environments
- Maintain and optimize large-scale datasets (millions of records)
Analytics & Reporting
- Develop automated reporting solutions and self-service dashboards
- Monitor campaign performance and key marketing KPIs
- Size revenue opportunities through segmentation analysis
- Troubleshoot and resolve data discrepancies across systems
Business Translation
- Translate marketing requirements into technical audience definitions
- Partner with campaign managers on complex audience builds
- Present insights clearly to both technical and non-technical stakeholders
Required Qualifications
- 7+ years of experience in marketing analytics, data science, data engineering, or related field
- Expert-level SQL skills (CTEs, window functions, query optimization, large dataset handling)
- Hands-on experience with Salesforce Data Cloud or similar CDP platforms
- Experience building audience signals and segmentation frameworks
- Proven collaboration with Data Engineering teams on pipeline development
- Experience automating reports and building self-service dashboards
- Proficiency in Tableau or similar visualization tools
- Advanced Excel / Google Sheets skills
- Basic Python knowledge for automation and APIs
- Strong communication and stakeholder management skills
Preferred Qualifications
- Experience with Salesforce Marketing Cloud (SFMC)
- Familiarity with CRM data structures and account-level models
- Background in B2B marketing analytics
- Experience supporting large-scale marketing ecosystems
Core Competencies
- Salesforce Data Cloud
- Customer Data Platforms (CDP)
- Advanced SQL & Data Modeling
- Audience Segmentation Strategy
- Marketing Analytics
- Campaign Performance Analysis
- Cross-Functional Collaboration
Equal Opportunity Statement
We are an equal opportunity employer and consider all qualified applicants without regard to legally protected characteristics. Reasonable accommodations are available upon request.
Data Scientist III employer: Get Offers
Contact Detail:
Get Offers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist III
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your audience segmentation projects or any cool SQL queries you've built. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Salesforce Data Cloud and advanced SQL. Practice explaining complex concepts in simple terms for non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist III
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Salesforce Data Cloud and advanced SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about marketing analytics and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role is highly technical, make sure to detail your SQL expertise and any experience with audience segmentation. We’re looking for hands-on experience, so include specific examples of how you've tackled large datasets in the past.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Get Offers
✨Know Your SQL Inside Out
Since the role requires expert-level SQL skills, make sure you brush up on advanced concepts like CTEs and window functions. Prepare to discuss how you've optimised queries in the past and be ready to solve a SQL problem on the spot.
✨Familiarise Yourself with Salesforce Data Cloud
Dive deep into Salesforce Data Cloud before your interview. Understand its features and functionalities, and think of examples where you've used similar platforms. This will show your technical prowess and readiness to hit the ground running.
✨Prepare for Cross-Functional Collaboration Questions
This role involves working closely with Data Engineers and campaign managers. Be ready to share specific examples of how you've successfully collaborated across teams in the past, highlighting your communication and stakeholder management skills.
✨Showcase Your Analytical Mindset
Be prepared to discuss how you've developed audience segmentation strategies and automated reporting solutions. Think of metrics you've monitored and how your insights have driven marketing campaigns. This will demonstrate your analytical capabilities and impact on previous projects.