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For Companies At a Glance
- Tasks: Transform digital advertising through data analysis and AI insights.
- Company: Innovative AI-driven SaaS company with a focus on collaboration.
- Benefits: Pathway to Product Ownership, hands-on experience, and dynamic work environment.
- Why this job: Join a fast-growing team and shape the future of AI-driven advertising.
- Qualifications: 1+ year in Python, SQL, and data visualisation; strong communication skills.
- Other info: Opportunity to work across Product, Sales, and Engineering.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI-driven SaaS company is looking for a Junior Data Analyst to join their team and play a key role in transforming digital advertising. This is a unique opportunity to work at the intersection of data, AI, and product strategy, with a clear path to Product Ownership.
What You'll Do
- Automate and enhance prospect account analysis to accelerate deal cycles
- Assess digital advertising accounts using commercial, industry, and AI adoption insights
- Develop Python-based analytics to measure performance and AI effectiveness
- Standardise key metrics for paid media efficiency, AI scoring, and industry benchmarking
- Build automation pipelines to reduce manual analysis and surface insights instantly
- Work with engineers to productise automated performance assessments
- Engage with sales and customers to translate data insights into business impact
- Influence product direction by identifying AI automation and reporting opportunities
What We're Looking For
- 1 year+ technical Skills: Python, SQL, data visualisation (Matplotlib, Plotly, BI tools)
- Communication: Ability to present insights and bridge technical analysis with commercial goals
- Added bonus for:
- AI & Product Thinking: Passion for AI-driven decision-making and structured analytical models
- Ad-Tech & Analytics: Experience with Google Ads APIs, marketing automation, or SaaS analytics
Why Join
- Pathway to Product Ownership grow from data analyst to AI-driven product leader
- Hands-on exposure to cutting-edge automation and decision intelligence
- Work across Product, Sales, and Engineering in a hybrid, high-impact role
- Join a fast-growing, dynamic environment where innovation and collaboration drive success
If you're passionate about AI, analytics, and automation, apply now and be part of the future of AI-driven advertising.
Data Analyst employer: Denu Recruit
Contact Detail:
Denu Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 Python projects, data visualisations, and any relevant analytics work. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company’s AI-driven products and think about how your skills can contribute to their goals. Be ready to discuss how you can automate processes and enhance performance insights.
✨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, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with Python, SQL, and data visualisation tools like Matplotlib and Plotly. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and analytics. Share specific examples of how you've used data to drive business impact, and let us know why you want to join our innovative team.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, make sure to include them. We love seeing practical applications of your skills, especially if they relate to digital advertising or automation!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity to grow with us at StudySmarter!
How to prepare for a job interview at Denu Recruit
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data visualisation and analytics. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Understand the Company’s AI Focus
Research the company’s approach to AI and how it integrates with their products. Be prepared to share your thoughts on AI-driven decision-making and how you see it impacting digital advertising. This shows your passion for the field and aligns with their innovative spirit.
✨Prepare Real-World Examples
Think of specific instances where you've automated processes or enhanced data analysis in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your problem-solving skills and impact on business outcomes.
✨Practice Your Communication Skills
Since the role requires bridging technical analysis with commercial goals, practice explaining complex data insights in simple terms. You might be asked to present a case study or analysis during the interview, so being able to communicate effectively is key to showcasing your fit for the role.
