At a Glance
- Tasks: Join our team as a Media Insight Analyst and dive into data analysis for impactful media campaigns.
- Company: Be part of a progressive media agency in London, known for its innovative approach since 1978.
- Benefits: Enjoy 25 days holiday, flexible working, and personalized training programs to boost your career.
- Why this job: Transform data into insights that drive business growth while collaborating with a dynamic team.
- Qualifications: Strong Excel skills, experience in digital media reporting, and a passion for data are essential.
- Other info: This role offers a hybrid work environment and the chance to work with top-tier clients.
The predicted salary is between 32000 - 42000 £ per year.
Media Insight Analyst
Job Type Permanent
Salary: Up to£40,000 – £42.000
Location: London Hybrid working
Consultant: Mags Rendle
The Company
We are thrilled to be working with an independent, progressive and first-class media agency based in central London with an established and impressive client base.
Formed in 1978 they are the Agency of choice for Charities and impactful businesses who are wanting a smart thinking, and faster moving agency who will be making their media work harder in the face of adversity.
This is your opportunity to join this independent media specialist with an entrepreneurial culture that has constantly kept them ahead of the agency market and shaped the skills and capabilities they use to give their clients measurable business advantage.
The Role
We're looking for a talented Media Insight Analyst to join a growing Analytics & Insight (A&I) team
and help unify their data landscape into a single source of truth powering our Business Intelligence
tools, deep-dive analyses, AI predictive models and wider media planning and buying tools. The role reports directly to the Data Strategy and Analytics Director.
The A&I team provides a full-service research and data analytics function – covering a wide spectrum of methodologies from audience profiling and segmentation through to econometrics, TV attribution and structured testing. They take a methodologically neutral approach, designing bespoke measurement frameworks based on our client’s individual business objectives.
This is a fantastic opportunity for a Data Analyst with strong digital campaign performance reporting skills and a passion for data analysis to be an integral part of a thriving, profitable business – to help build a strong data offering that will be transformational for our people and our clients. The role will focus on several key deliverables:
- Liaise with Media/Client teams to establish media campaign reporting and insight
- requirements and regularity, including involvement from briefing stage to inform campaign setup and relevant metrics
- Validate and verify input datasets via our ETL platform to ensure correct information is available
- Create & manage client friendly dashboards and other reports to provide insight on campaign progress
- Build and deliver meaningful mid and end of campaign performance reports with actionable
insight and learnings
- Maintain client and agency benchmark studies
- Liaise with external suppliers including data, tech and media companies to ensure top quality service and excellent relationships
- Power deep-dive analyses to answer questions that unlock the next growth lever for our client’s businesses
- Enable fast, easy, self-serve BI in every team, helping everyone to spend time on what really
matters.
The Team
The Analytics & Insight team are responsible for leveraging the vast amounts of client data to discover insights, identify opportunities and build data products to drive the business forwards. They do this through the use of statistical, algorithmic and visualisation techniques.
As a Media Insight Analyst, you will work with members of the team to scope, plan, build and deliver a range of analytics projects. This could involve supporting the media planning teams with research, customised reports and implementation of bespoke data management processes, supporting senior analysts to build advanced forecasting models, managing a data pipeline to power a visualisation dashboard, or something else entirely different – no two days will be the same.
They collect data from dozens of data sources, ranging from industry research, macroeconomic data, web analytics info, transactional data, subscriptions and memberships, customer event-level data, media data, third party data and much, much more. Their data is extremely varied, some being very finely grained, event-level data, others being already aggregated to various degrees. It also arrives on different schedules!
The business logic they apply to the data is complex and the end uses for data are varied. All this requires well-designed, robust, future-proofed data visualisation and performance reporting skills that can keep up with the business and support our ambitious plans to unlock the value of data strategically.
About You
- A deep interest and enthusiasm in data and using data to support continuous business improvement
- Exceptional Excel skills (including vlookup, pivot tables and advanced charting techniques) is a major pre-requisite for this role. Use of DAX and Power Query is highly desirable.
- Solid experience of digital media performance evaluation and reporting – preferably within an agency environment
- Some experience of working with media data integration tools such as Supermetrics, Improvado, Funnel or Alteryx would be advantageous.
- Confident in writing SQL and a good understanding of database design.
- Solid exposure to building and managing marketing performance dashboards using Power BI (preferred) or Tableau would be a huge benefit
- Experience working with automated data collation through use of web APIs.
And you are…
- Pro-active with a self-starter mindset; able to identify elegant solutions to difficult problems and able to suggest new and creative approaches.
- Analytical, problem-solving and an effective communicator; leveraging technology and subject matter expertise in the business to accelerate our roadmap.
- Able to document business insight clearly, in plain English, making knowledge easily transferable to the wider team.
- Confident in presenting analysis, recommendations and strategy to senior stakeholders
- Highly collaborative in work style
- Curious and inquisitive
- Willing to step outside your comfort zone to broaden your skills and learn new technologies.
Benefits
- 25 days Holiday
- Workplace pension scheme (after probationary period)
- Flexible working
- Personalised training program to develop technical, media and career competencies
- BUPA Employee Assistance Programme
- Bike to Work Scheme
Apply below and I will be in touch to discuss the company, the role and opportunity with you further.
The Digital Recruitment Company is an Employment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies.
To apply for this role please contact us at:
Mags Rendle
0203 640 2133
Media Insight Analyst employer: The Digital Recruitment Company
Contact Detail:
The Digital Recruitment Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Media Insight Analyst
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as Power BI, SQL, and media data integration tools like Supermetrics or Alteryx. Having hands-on experience or even a project to showcase your skills with these tools can set you apart.
✨Tip Number 2
Demonstrate your analytical mindset by preparing examples of how you've used data to drive business improvements in past roles. Be ready to discuss specific metrics or insights that led to actionable changes.
✨Tip Number 3
Network with professionals in the media analytics field, especially those who work in agencies. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with digital media performance evaluation. Think about campaigns you've analyzed and be ready to explain how your insights contributed to their success.
We think you need these skills to ace Media Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, digital media performance evaluation, and any relevant tools like Power BI or SQL. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for data and how it drives business improvement. Mention specific projects or experiences that demonstrate your analytical skills and problem-solving abilities, particularly in a media context.
Showcase Technical Skills: Clearly outline your technical skills, especially in Excel, SQL, and any media data integration tools you have used. Provide examples of how you've applied these skills in previous roles to achieve measurable results.
Prepare for Interviews: Be ready to discuss your analytical approach and how you communicate insights to stakeholders. Think of examples where you've successfully collaborated with teams or solved complex problems using data.
How to prepare for a job interview at The Digital Recruitment Company
✨Show Your Passion for Data
Make sure to express your enthusiasm for data analysis and how it can drive business improvement. Share specific examples of how you've used data to solve problems or improve processes in previous roles.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in Excel, SQL, and any experience with data integration tools like Supermetrics or Alteryx. You might even be asked to solve a technical problem on the spot, so brush up on your skills!
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Think of scenarios where you had to analyze complex data sets or create dashboards, and be ready to explain your thought process.
✨Communicate Clearly and Effectively
Since you'll be presenting insights to senior stakeholders, practice explaining your analyses in simple terms. Focus on how you can make complex data understandable and actionable for different audiences.