At a Glance
- Tasks: Drive media performance and create data solutions for impactful brands.
- Company: Join an award-winning agency focused on social impact and charity brands.
- Benefits: Enjoy clear career progression and work with international brands in a collaborative environment.
- Other info: Opportunity to explore new data tools and improve analysis workflows.
- Why this job: Be part of a growing analytics team making a real difference through data insights.
- Qualifications: Proficiency in SQL, Python, and data visualisation tools like PowerBI or Tableau required.
The predicted salary is between 42000 - 84000 £ per year.
Overview
Senior Analyst, Paid Media – Independent Media Planning & Measurement Agency (Social Impact Brands). Working closely with the Head of Digital you will employ technical data and insights to drive business & media performance for a client base that makes a huge impact in the world.
Company
Media Planning and Measurement agency delivering custom data solutions for a host of incredible social impact and charity brands.
Responsibilities
- Cross-channel advertising strategy, execution and measurement
- Own the reporting process for the digital team, creating streamlined data management/dashboard solutions across all paid media activity
- Help define and deliver new data analysis products and processes
- Explore capabilities and research new data tools
- Analyse large datasets to identify trends, patterns, and opportunities to optimise digital performance for clients
- Identify opportunities for process improvement and automation to streamline data analysis workflows
- Collaborate with cross-functional teams to identify KPIs and design data collection methods
Experience / Qualifications
- Technical data scripting and modelling skills (e.g., SQL, Python)
- Familiarity with digital media platforms, advertising metrics, and performance tracking
- Experience with Data Visualisation Software (Power BI, Tableau and/or Google Data)
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function / Industries
- Project Management, Information Technology, and Analyst
- Advertising Services and Technology, Information and Internet
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Senior Analyst, Paid Media – Independent Media Planning & Measurement Agency (Social Impact Brands) employer: Grey Matter Recruitment
As a VP of Customer Expansion at our leading AI-powered MarTech platform, you will thrive in a dynamic and innovative work culture that prioritises employee growth and collaboration. With access to cutting-edge technology and the opportunity to engage with some of the UK's largest enterprise customers, you will play a pivotal role in shaping our strategic direction while enjoying competitive benefits and a supportive environment that fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst, Paid Media – Independent Media Planning & Measurement Agency (Social Impact Brands)
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Grey Matter Recruitment.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Analyst, Paid Media – Independent Media Planning & Measurement Agency (Social Impact Brands)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Grey Matter Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Grey Matter Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Grey Matter Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Grey Matter Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
