At a Glance
- Tasks: Deliver insights through data analysis and build dashboards in Looker Studio.
- Company: Join OLIVER, a dynamic part of The Brandtech Group.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for growth.
- Other info: Collaborate with diverse teams and enhance your analytical skills.
- Why this job: Make an impact by translating complex data into actionable insights.
- Qualifications: Experience in data analysis and proficiency in Google BigQuery.
The predicted salary is between 50000 - 50000 £ per year.
OLIVER, part of The Brandtech Group, is seeking a Senior Data Analyst to deliver insights across marketing, ecommerce and CX.
The role focuses on building dashboards in Looker Studio backed by Google Big Query and translating complex data into actionable commercial recommendations.
You will collaborate with multi-market teams and stakeholders, supporting onboarding and promotion analytics as part of a wider analytics function.
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Senior Data Analyst — Marketing & CX Insights employer: OLIVER Agency Germany
At OLIVER, located in the vibrant city of London, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. As a Senior Account Manager, you'll not only lead a talented team but also have access to continuous professional development opportunities, ensuring your growth aligns with our ambitious sustainability goals. Join us to make a meaningful impact while enjoying a supportive environment that values creativity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst — Marketing & CX Insights
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like OLIVER Agency Germany!
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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 OLIVER Agency Germany.
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We think you need these skills to ace Senior Data Analyst — Marketing & CX Insights
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 OLIVER Agency Germany, 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 OLIVER Agency Germany. 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 OLIVER Agency Germany
✨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 OLIVER Agency Germany!
✨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.
