Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse financial performance of paid media campaigns and optimise budgets for maximum ROI.
- Company: Join a dynamic team focused on transforming digital advertising into measurable success.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Be the data storyteller who drives impactful decisions in a fast-paced, innovative environment.
- Qualifications: Experience in paid media analytics and proficiency in Excel and Google Analytics required.
- Other info: Ideal for detail-oriented individuals passionate about data-driven marketing strategies.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a detail-oriented Digital Data Analyst to oversee the financial performance of our paid media campaigns. This role involves analysing advertising spend, optimizing budgets, and ensuring maximum return on investment (ROI) across various digital platforms.
Ready to turn billions of impressions into measurable impact? We’re looking for a sharp, analytical mind who can dive into client media spend, performance data, and surface clear, actionable insights that drive real value.
As our Digital Data Analyst, you’ll be the go-to expert for ensuring our paid media campaigns (spanning Meta, AdWords and more) deliver exactly what they promise—on target, on budget, and with tangible returns. You’ll consolidate complex data into compelling narratives, manage media plans to meet forecasted outcomes, and work directly with revenue and delivery teams to ensure spend and performance are always aligned. This is a role for someone who doesn’t just understand data—but knows how to tell its story.
Key Responsibilities:- Financial Analysis & Budgeting: Monitor and analyse paid media expenditures, ensuring cost efficiency and alignment with financial goals.
- Performance Tracking: Evaluate campaign effectiveness using key financial metrics such as CPC (Cost per Click), CPA (Cost per Acquisition), and CTR (Click-Through Rate).
- Data-Driven Insights: Provide actionable recommendations based on financial data to optimize media spend and improve campaign performance.
- Forecasting & Reporting: Develop financial models to predict future media spend and revenue impact. Prepare detailed reports for stakeholders.
- Collaboration: Work closely with Strategic Partnership, Digital and finance teams to align media strategies with business objectives.
- Market & Competitor Analysis: Research industry trends and competitor strategies to identify opportunities for cost-effective media investments.
- Proven experience in paid media analytics, financial modelling, and digital advertising.
- Strong proficiency in Excel, Google Analytics, and media buying platforms (Google Ads, Meta Ads, etc.).
- Ability to interpret complex financial data and translate insights into strategic recommendations.
- Excellent communication and presentation skills.
- Detail-oriented with strong problem-solving abilities.
- Experience with SQL or Power BI for data visualization.
- Knowledge of advertising and attribution modelling.
Locations
Digital Data Analyst (Finance) employer: Hybrid
Contact Detail:
Hybrid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Data Analyst (Finance)
✨Tip Number 1
Familiarise yourself with the key performance indicators (KPIs) relevant to digital advertising, such as CPC, CPA, and CTR. Understanding these metrics will help you demonstrate your analytical skills during interviews and show how you can optimise media spend effectively.
✨Tip Number 2
Brush up on your Excel skills, especially in financial modelling and data analysis. Being able to showcase your proficiency in Excel during discussions can set you apart from other candidates and highlight your capability to handle complex data.
✨Tip Number 3
Stay updated on the latest trends in digital advertising and financial analytics. Being knowledgeable about industry changes and competitor strategies will not only prepare you for potential interview questions but also demonstrate your passion for the field.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive decisions in past roles. Having concrete stories ready will help you illustrate your problem-solving abilities and your experience in aligning media strategies with business objectives.
We think you need these skills to ace Digital Data Analyst (Finance)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in paid media analytics and financial modelling. Use specific examples that demonstrate your ability to analyse data and provide actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for digital advertising and data analysis. Mention how your skills align with the responsibilities of the Digital Data Analyst role, particularly in optimising budgets and tracking performance metrics.
Showcase Technical Skills: Emphasise your proficiency in tools like Excel, Google Analytics, and any media buying platforms you have experience with. If you have knowledge of SQL or Power BI, make sure to include that as well, as it can set you apart from other candidates.
Highlight Collaboration Experience: Since the role involves working closely with various teams, mention any past experiences where you collaborated with others to achieve common goals. This will demonstrate your ability to work effectively within a team environment.
How to prepare for a job interview at Hybrid
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analysed data in previous roles. Highlight your experience with financial metrics like CPC, CPA, and CTR, and explain how you used these insights to optimise campaigns.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as Excel, Google Analytics, and media buying platforms. You might be asked to solve a problem or analyse a dataset during the interview, so practice using these tools beforehand.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world situations. For instance, you might be asked how you would approach a campaign that is underperforming. Think through your strategies for analysing data and making recommendations.
✨Communicate Clearly and Effectively
Since the role requires translating complex data into actionable insights, practice explaining your past projects in a clear and concise manner. Use storytelling techniques to make your data-driven narratives compelling and relatable.
