Data Governance & Visualization Lead β€” Hybrid/Remote

Data Governance & Visualization Lead β€” Hybrid/Remote

Full-Time 49500 - 60500 Β£ / year (est.) Home office (partial)
OMD

At a Glance

  • Tasks: Lead data governance and visualisation efforts while collaborating with multiple markets.
  • Company: Join OMD EMEA, a leader in data analytics and media solutions.
  • Benefits: Enjoy hybrid/remote work flexibility and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on learning and development.
  • Why this job: Make an impact on data accuracy and compliance across diverse projects.
  • Qualifications: Experience in data analytics and a passion for governance and visualisation.

The predicted salary is between 49500 - 60500 Β£ per year.

OMD EMEA is seeking a data analytics professional to join our governance and compliance stream.

You will collaborate with 15+ markets, report into a Director, and contribute to deliverables that meet client business needs while learning from project managers and operations specialists.

You will help ensure accurate data handling across media activity and reporting, developing skills in taxonomy, data quality and BI platforms.

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Data Governance & Visualization Lead β€” Hybrid/Remote employer: OMD

OMD is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for professionals looking to make a significant impact in the media landscape. With a focus on employee growth and development, OMD offers numerous opportunities for advancement while working on exciting projects like Odeon and Crunchyroll in a vibrant European setting. The company values innovation and creativity, ensuring that every team member can contribute meaningfully to client success and their own career progression.

OMD

Contact Details:

OMD Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Governance & Visualization Lead β€” Hybrid/Remote

✨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 OMD!

✨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 Governance & Visualization Lead β€” Hybrid/Remote at OMD.

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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 OMD.

✨Apply Directly through Our Website

When you find a suitable opening like Data Governance & Visualization Lead β€” Hybrid/Remote at OMD, 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 Governance & Visualization Lead β€” Hybrid/Remote

Data Analytics
Data Governance
Compliance
Collaboration
Reporting
Taxonomy Development
Data Quality Management

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 OMD, 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 OMD. 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 OMD

✨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 OMD!

✨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.