Data Analyst: Automation & Insight Reporting

Data Analyst: Automation & Insight Reporting

Full-Time 31500 - 38500 £ / year (est.) No working from home possible
UNAVAILABLE

At a Glance

  • Tasks: Analyse data and create automated reporting solutions for luxury clients.
  • Company: Performics UK, part of Publicis Media, known for performance marketing excellence.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborate with cross-functional teams and enhance your career in a thriving industry.
  • Why this job: Join a dynamic team and make an impact with real-time analytics in a fast-paced environment.
  • Qualifications: Experience in data analysis and strong problem-solving skills required.

The predicted salary is between 31500 - 38500 £ per year.

Performics UK, the performance marketing arm of Publicis Media, seeks a Data Analyst within the central Data and Ops team.

You will contribute to reporting development, maintenance and delivery, both internally and to clients, supporting automated processes and real-time analytics.

You will work with cross-functional teams across social and search for a luxury client, ensuring data integrity, API connectivity, and scalable reporting solutions in a fast-paced environment.

#J-18808-Ljbffr

Data Analyst: Automation & Insight Reporting employer: UNAVAILABLE

As a leading innovator in the FMCG sector, we pride ourselves on fostering a dynamic work culture that encourages creativity and collaboration. Our Lowestoft location offers a vibrant community with access to professional development opportunities, ensuring that our employees can grow their skills while contributing to meaningful product advancements that resonate with consumers. Join us to be part of a team that values innovation and supports your career journey.

UNAVAILABLE

Contact Details:

UNAVAILABLE Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst: Automation & Insight Reporting

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 UNAVAILABLE!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst: Automation & Insight Reporting at UNAVAILABLE.

Leverage Professional Networks

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 UNAVAILABLE.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst: Automation & Insight Reporting at UNAVAILABLE, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst: Automation & Insight Reporting

Data Analysis
Reporting Development
Automation
Real-Time Analytics
Data Integrity
API Connectivity
Scalable Reporting Solutions

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 UNAVAILABLE, 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 UNAVAILABLE. 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 UNAVAILABLE

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 UNAVAILABLE!

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.