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- 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.
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 that you can effectively evaluate campaign performance.
✨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 ability to manage budgets and analyse media spend.
✨Tip Number 3
Stay updated on the latest trends in digital advertising and financial analytics. This knowledge will not only help you in interviews but also allow you to speak confidently about how you can contribute to optimising media campaigns at StudySmarter.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive decisions in previous roles. Being able to articulate your experience with actionable insights will demonstrate your capability to turn complex data into compelling narratives, which is crucial for this position.
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.
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 show your ability to work effectively in a team environment.
How to prepare for a job interview at Hybrid
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with financial analysis and how you've used data to drive decisions in previous roles. Highlight specific examples where your insights led to improved campaign performance or cost savings.
✨Familiarise Yourself with Key Metrics
Understand the key financial metrics relevant to the role, such as CPC, CPA, and CTR. Be ready to explain how you would track and optimise these metrics in a paid media campaign.
✨Demonstrate Your Technical Proficiency
Make sure to mention your experience with tools like Excel, Google Analytics, and any media buying platforms. If you have experience with SQL or Power BI, be sure to highlight this as it can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to budget optimisation or campaign performance. Practice articulating your thought process and the steps you would take to analyse and improve a given scenario.
