At a Glance
- Tasks: Analyse media data to shape global communications strategies and provide impactful insights.
- Company: Join Aquent, a leading social technology company with a mission to connect the world.
- Benefits: Competitive hourly rate, remote work, and a chance to make a real impact.
- Other info: 12-month remote contract with excellent career growth opportunities.
- Why this job: Be at the forefront of media analysis and influence communications across EMEA.
- Qualifications: Experience in media analysis or related fields; proficiency in SQL and basic programming.
Overview
Join to apply for the Media Data Analyst role at Aquent.
Join a global leader in social technology as a Media Data Analyst and make a real impact on how the world connects. This is an opportunity to leverage your analytical skills and technical expertise to shape communications strategies across diverse markets in Europe, the Middle East, and Africa (EMEA). You will be at the forefront of media impact analysis, collaborating with a dynamic team to inform key decisions at a global scale.
As a Media Data Analyst, you will measure and interpret the impact of communications activities across channels including traditional press, social media, and owned platforms. Your insights will inform strategic communications planning and execution across EMEA. This is a 12-month UK remote contract, offering £24.52-£27.40 per hour (PAYE) – 40 hours/week. This role is open for a limited time. Shortlisted candidates will be contacted by 12:00 PM on Thursday 4 September. Due to high application volume, we may be unable to reply to every applicant.
Responsibilities
- Monitor, summarize, and analyze media coverage across key EMEA markets, providing qualitative and quantitative insights.
- Conduct trend and sentiment analysis, contextualizing media activity within local and regional frameworks.
- Provide up-to-date information on local and international news cycles and policy issues, considering cultural and linguistic nuances.
- Design and manage scalable data pipelines and databases to automate the collection and processing of press and media data.
- Develop and maintain interactive dashboards using tools like Unidash, utilizing APIs (Python, JavaScript) for dynamic updates.
- Quantify the impact of communications efforts, establish KPIs, and create insightful reports to inform global communications strategies.
- Collaborate with data engineering, analytics, and communications teams to integrate press data with internal datasets for comprehensive media measurement.
Must-Have Qualifications
- Experience in media analysis, journalism, communications, research, or a related field (including roles at a media agency, media analysis firm, media measurement platform, or think tank).
- Bachelor’s degree in Communications, Journalism, Public Relations, Political Science, Marketing, Economics, Statistics, Data Science, or a related field.
- Proficiency in English and excellent communication skills, including the ability to draft messaging materials and news summaries.
- Experience handling and visualizing datasets in deadline-driven environments.
- Proficiency in SQL for querying and optimizing large-scale datasets.
- Basic programming skills in Python or JavaScript for scripting and automation.
Nice-to-Have Qualifications
- Fluency in at least one additional EMEA language.
- Experience with media monitoring tools and measurement projects.
- Familiarity with internal data tools or similar platforms for dashboard development and analytics.
- Knowledge of dashboard design principles and user experience considerations.
- Experience with visualization libraries for customizing dashboard components.
- Understanding of metrics and analytics within press and social media monitoring.
Client Description
Our client is the largest social media company in the world, with substantial B2B and B2C advertising and media platforms, as well as a nonprofit initiative. They aim to bring people together and currently serve over 2 billion users, continuing to grow and influence the world around us.
Equal Opportunity Employer
Aquent is dedicated to improving inclusivity and is proudly an equal opportunities employer. We encourage applications from under-represented groups and are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
Job Details
- Seniority level: Entry level
- Employment type: Temporary
- Job function: Analyst
- Industries: Professional Training and Coaching
Referrals increase your chances of interviewing at Aquent. Get notified about new Data Analyst jobs in London, England, United Kingdom.
Media Data Analyst in London employer: Aquent
Aquent is an exceptional employer, offering a unique opportunity for Media Data Analysts to thrive in a dynamic and inclusive work culture. With a focus on employee growth, Aquent provides access to cutting-edge tools and resources, enabling you to make a significant impact on global communications strategies while working remotely from the UK. Join a team that values diversity and innovation, and be part of a company that is at the forefront of social technology.
StudySmarter Expert Advice🤫
We think this is how you could land Media Data Analyst in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Aquent before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Aquent.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Aquent.
We think you need these skills to ace Media Data Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Aquent, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Aquent, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Aquent’s attention and show the tangible impact of your work.
How to prepare for a job interview at Aquent
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Aquent.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Aquent.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Aquent.
