At a Glance
- Tasks: Support data analysis, reporting, and dashboard development in a fast-paced digital environment.
- Company: Join CJ Affiliate, a leader in Global Affiliate Marketing within Publicis Groupe.
- Benefits: Gain hands-on experience with cutting-edge tools and technologies while developing your career.
- Other info: Collaborative team culture with opportunities for growth and learning.
- Why this job: Make an impact by leveraging data to drive decisions and improve marketing strategies.
- Qualifications: 0-2 years in analytics or related fields; SQL and Python skills required.
The predicted salary is between 28000 - 35000 £ per year.
As part of Publicis Groupe, CJ Affiliate is the leader in Global Affiliate Marketing. We take pride in our innovative technology, comprehensive data solutions and our people. We equip our teams with the tools, training and career development opportunities to provide cutting edge solutions, strategies and support that deliver high quality results for our clients. We work in an energetic, results-oriented, collaborative, team environment that recognises exceptional performance. As we evolve and grow as a business, so do you.
The Junior Data Science and Marketing Analyst supports reporting, analytics, and data-driven decision making across internal teams and client-facing initiatives. This role focuses on data analysis, reporting, dashboard development, and investigating business questions within a fast-paced digital advertising environment. You will work alongside analysts, data scientists, account teams, and business stakeholders to help deliver reporting, analyse performance data, support measurement initiatives, and build scalable analytics solutions. You will also leverage modern AI tools and coding assistants to improve efficiency, automate repetitive tasks, and accelerate analytics workflows.
What You Will Do
- Support reporting, analytics, and data requests across internal teams and client-facing initiatives
- Analyse e-commerce, digital advertising, and performance marketing data to identify trends, opportunities, and business insights
- Build and maintain Tableau dashboards, recurring reports, and self-service reporting solutions
- Write SQL queries and utilise Python to support data analysis, validation, automation, and reporting workflows
- Assist with data investigations, troubleshooting, and quality assurance efforts to ensure reporting accuracy
- Partner with analysts, account teams, and cross-functional stakeholders to deliver timely and accurate analytics solutions
- Leverage AI tools, coding assistants, and automation technologies to improve productivity and streamline workflows
- Learn and apply measurement methodologies used across digital marketing, including campaign performance analysis, attribution, and incrementality concepts
- Document processes, reporting logic, and analytics workflows to support operational consistency
What We Look For
- 0–2 years of experience in analytics, data science, business intelligence, marketing analytics, or a related field
- Experience writing SQL queries to analyse and manipulate data
- Experience with Python for data analysis, automation, or reporting
- Familiarity with Tableau, Power BI, or similar business intelligence tools
- Strong analytical and problem-solving skills with attention to detail
- Ability to communicate findings clearly to both technical and non-technical audiences
- Curiosity and willingness to learn new technologies, analytics methodologies, and AI-enabled workflows
- Strong organisational skills and ability to manage multiple priorities in a fast-paced environment
Preferred
- Experience with Databricks, Spark, or cloud-based analytics platforms
- Exposure to digital advertising, e-commerce, affiliate marketing, or performance marketing concepts
- Familiarity with Python libraries such as Pandas, NumPy, or PySpark
- Experience using AI coding assistants such as GitHub Copilot, Claude Code, Codex, Cursor, or similar tools
- Exposure to marketing analytics concepts such as attribution, campaign measurement, incrementality testing, or marketing mix modeling (MMM)
- Internship, coursework, personal projects, or professional experience involving data analysis, reporting, or dashboard development
Junior Data Scientist employer: Commission Junction LLC
At CJ Affiliate, part of Publicis Groupe, we foster a dynamic and collaborative work culture that prioritises innovation and employee growth. As a Junior Data Scientist, you will benefit from comprehensive training, cutting-edge technology, and the opportunity to work alongside industry experts in a fast-paced digital advertising environment. Our commitment to recognising exceptional performance ensures that your contributions are valued, making CJ an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Commission Junction LLC when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Commission Junction LLC.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Commission Junction LLC.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Commission Junction LLC’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Commission Junction LLC, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Commission Junction LLC aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Commission Junction LLC
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
