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For Companies At a Glance
- Tasks: Analyse audience data and create visualisations to support media planning.
- Company: Join an innovative firm transforming out-of-home advertising analytics.
- Benefits: Enjoy a flexible hybrid work environment and exposure to cutting-edge technologies.
- Why this job: Be part of a small, impactful team driving insights for the advertising industry.
- Qualifications: 3+ years in analytics, strong SQL and Python skills, media analytics experience preferred.
- Other info: Opportunity to work on new data models launching in 2025.
The predicted salary is between 36000 - 60000 £ per year.
We're partnering with an innovative company that measures how people interact with out-of-home advertising (billboards, digital screens, posters, etc.). As they continue to grow and refine their methods, they're looking for a Data Analyst to join their collaborative team and help drive actionable insights.
In this role, you'll work closely with the Director of Research to analyse audience data, uncover insights, and support media planning decisions. You'll focus on building visualisations, working with key stakeholders, and helping refine the data models as they enter a new phase of development in 2025.
- 3+ years' analytics experience
- Strong SQL and Python skills
- Experience in media/advertising analytics preferred
- Familiar with data visualisation tools like Tableau (or similar)
- Bonus: basic front-end development skills (HTML/CSS/JS)
Why join?
- Be part of a small, dynamic team with big impact
- Work on new data models and advanced methodologies launching in 2025
- Exposure to cutting-edge technologies like facial recognition and telecom data
- Flexible, hybrid working environment
- Unique opportunity to drive insights for the outdoor advertising industry
Data Analyst (Insight & Analytics) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Insight & Analytics)
✨Tip Number 1
Familiarise yourself with the latest trends in out-of-home advertising analytics. Understanding how data is used to measure audience interaction will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a small project or two that showcases your ability to manipulate and analyse data effectively.
✨Tip Number 3
Get comfortable with data visualisation tools like Tableau. If you can create compelling visualisations that tell a story with data, you'll stand out as a candidate who can drive actionable insights.
✨Tip Number 4
Network with professionals in the media and advertising analytics field. Attend relevant meetups or webinars to connect with industry insiders who might provide valuable insights or even referrals.
We think you need these skills to ace Data Analyst (Insight & Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytics experience, particularly with SQL and Python. Include any relevant projects or roles that demonstrate your ability to analyse data and derive insights, especially in media or advertising.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the job description, such as your familiarity with data visualisation tools like Tableau and any front-end development skills you possess.
Showcase Relevant Skills: When detailing your skills, emphasise your analytical abilities and experience with audience data. If you have worked on projects involving data models or advanced methodologies, be sure to mention these to demonstrate your fit for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a Data Analyst.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
Be prepared to discuss your previous analytics experience in detail. Highlight specific projects where you used SQL and Python to derive insights, and be ready to explain your thought process and the impact of your findings.
✨Familiarise Yourself with Data Visualisation Tools
Since the role involves building visualisations, make sure you can demonstrate your proficiency with tools like Tableau. Bring examples of your work or be ready to discuss how you approach creating effective data visualisations.
✨Understand the Media Landscape
Research the outdoor advertising industry and understand how data analytics plays a role in media planning. Being knowledgeable about current trends and challenges in this field will show your genuine interest and help you stand out.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask the interviewers about their data models and methodologies. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.