At a Glance
- Tasks: Lead operational analytics and support data-driven decision-making in a fast-paced digital advertising environment.
- Company: Join CJ, a leader in digital advertising with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to mentor and guide fellow analysts.
- Why this job: Make an impact by leveraging AI tools and analytics to drive business success.
- Qualifications: 5+ years in analytics, strong Tableau skills, and experience with AI workflows.
The predicted salary is between 60000 - 80000 £ per year.
In this Senior Data Scientist role at CJ, you will serve as a senior operational analytics resource supporting internal and client-facing reporting, analytics, and data requests across the business. This role focuses on executional analytics, Jira queue management, scalable reporting solutions, AI-enabled workflows, and operational excellence within a fast-paced digital advertising environment. You will work across multiple stakeholders and business functions to support ad hoc analysis, reporting requests, data investigations, and e-commerce and digital advertising measurement initiatives, including performance analysis and incrementality-focused requests, while leveraging AI tools and coding agents to improve workflow efficiency, delivery quality, and operational scale.
What you will do:
- Lead operational analytics support across Jira workflows, ad hoc reporting requests, internal stakeholder asks, and client support needs.
- Help manage team bandwidth, queue prioritization, ticket intake, and work allocation while ensuring requests are clearly scoped and actionable.
- Serve as a senior escalation point for analysts by providing guidance on troubleshooting, reporting logic, delivery standards, AI-enabled workflows, and best practices.
- Analyze e-commerce and digital advertising data to support reporting, campaign analysis, operational insights, measurement initiatives, and client-facing requests.
- Partner with account teams, analysts, and cross-functional stakeholders to deliver timely and accurate data solutions.
- Identify recurring request trends and develop scalable reporting and AI-assisted operational solutions while ensuring strong data quality, validation, monitoring, and operational consistency across workflows.
- Build and maintain Tableau dashboards and reporting solutions while utilizing Spark, Databricks, and AI coding agents to support analysis, investigate data issues, and improve workflow efficiency.
What we look for:
- 5+ years of experience in analytics, marketing science, business intelligence, or a related field.
- Strong experience with Tableau and large-scale data environments such as Spark or Databricks.
- Experience utilizing AI coding agents and AI-enabled workflows to improve productivity, operational efficiency, and analytics delivery.
- Strong understanding of e-commerce, digital advertising, and performance marketing principles, including affiliate and partner-based ecosystems.
- Strong analytical, organizational, and problem-solving skills with attention to detail and data accuracy.
- Experience guiding or mentoring analysts and driving operational consistency across a team.
- Strong communication and stakeholder management skills with the ability to translate technical concepts into business-friendly insights.
Preferred:
- Experience with Python, PySpark, or Scala.
- Experience training, tuning, or optimizing AI agents and workflows for analytics, reporting, or client-facing use cases.
- Experience supporting enterprise-level reporting or analytics environments.
- Familiarity with digital advertising measurement methodologies, incrementality analysis, and reporting frameworks.
- Experience working in cross-functional global team environments and improving operational workflows or analytics governance standards.
- Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM), attribution, and campaign performance frameworks.
Senior Data Scientist employer: Publicis Groupe ANZ
At CJ, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Data Scientist, you will have the opportunity to work in a fast-paced digital advertising environment, where your contributions directly impact our clients' success. We offer comprehensive benefits, continuous professional development, and a commitment to leveraging cutting-edge AI tools, ensuring that you grow alongside the company while enjoying a supportive and dynamic team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with Tableau, Spark, or any AI tools you've used. We recommend having a few case studies ready to discuss during interviews to demonstrate your analytical prowess and problem-solving skills.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of e-commerce and digital advertising principles. We suggest practising how to explain complex concepts in simple terms, as strong communication is key in this role.
✨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 Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your experience with Tableau, AI workflows, and any relevant analytics projects to show us you’re the right fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how your background aligns with our needs. Share specific examples of your work in e-commerce or digital advertising to grab our attention!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in tools like Spark, Databricks, and any programming languages you know, like Python or Scala. We want to see how you can leverage these skills to improve operational efficiency!
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 Publicis Groupe ANZ
✨Know Your Data Tools
Make sure you’re well-versed in Tableau, Spark, and Databricks. Be ready to discuss how you've used these tools in past projects, especially in relation to operational analytics and reporting. Highlight any experience with AI coding agents too, as this will show your ability to leverage technology for efficiency.
✨Showcase Your Analytical Skills
Prepare to talk about specific examples where you've analysed e-commerce or digital advertising data. Think of instances where your insights led to actionable outcomes. This will demonstrate your strong analytical skills and understanding of performance marketing principles.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll likely need to translate data findings into business-friendly insights, so being able to communicate effectively with stakeholders is key. Consider role-playing with a friend to refine your delivery.
✨Demonstrate Leadership Experience
Since this role involves mentoring analysts and driving operational consistency, be prepared to share your experiences in guiding teams. Discuss how you've managed workloads, prioritised tasks, and ensured quality in deliverables. This will highlight your leadership capabilities and team management skills.
