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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 delivering impactful digital advertising solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be the expert who transforms data into compelling stories that drive real business value.
- 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 decision making.
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) (Greater Bristol Area) employer: Hybrid
Contact Detail:
Hybrid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Data Analyst (Finance) (Greater Bristol Area)
✨Tip Number 1
Familiarise yourself with the key performance metrics mentioned in the job description, such as CPC, CPA, and CTR. Understanding these terms will not only help you in interviews but also demonstrate your knowledge of the digital advertising landscape.
✨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.
✨Tip Number 3
Prepare to discuss specific examples of how you've optimised media spend in previous roles. Having concrete stories ready will illustrate your ability to provide actionable insights and drive results.
✨Tip Number 4
Stay updated on industry trends and competitor strategies in digital advertising. This knowledge will not only help you in interviews but also show that you're proactive and genuinely interested in the field.
We think you need these skills to ace Digital Data Analyst (Finance) (Greater Bristol Area)
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’ve used. If you have experience with SQL or Power BI, make sure to highlight this as it’s preferred for the role.
Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your detail-oriented nature and problem-solving skills. Discuss how you've tackled challenges in previous roles, especially those related to financial analysis and campaign performance.
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 how you've used these 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. Be ready to explain how you've used these tools to drive results in past projects.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to media spend and performance tracking. Practice articulating your thought process and the steps you would take to analyse and optimise a campaign.
✨Communicate Clearly and Effectively
Since the role involves presenting data-driven insights, practice explaining complex data in simple terms. Use storytelling techniques to convey how your insights can lead to actionable recommendations.
