Marketing Data & Insights Analyst

Marketing Data & Insights Analyst

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
WebMD

At a Glance

  • Tasks: Support marketing teams by managing data, targeting, and campaign performance.
  • Company: Join Medscape, a leading healthcare information platform under WebMD.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Fast-paced environment with opportunities to collaborate across teams.
  • Why this job: Make a real impact in healthcare marketing through data-driven insights.
  • Qualifications: Degree in Marketing or Data Science; experience in digital marketing analytics required.

The predicted salary is between 36000 - 60000 £ per year.

Medscape, a division of WebMD, develops and hosts physician portals and related mobile applications that make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers.

Overview

The Marketing Data & Insights Analyst will support the global Audience Engagement and Presales teams by managing precision targeting, campaign configuration, and performance measurement. This role bridges marketing strategy and data operations, ensuring accuracy in custom audience builds, precision estimations, and reporting to support scalable campaign delivery and actionable insights.

Key Responsibilities

  • Partner with marketing strategists to define precision targeting requirements and custom configurations.
  • Liaise with internal teams, including Promo CORE, to obtain LMID and membership sizing for audience segmentation, pull data from Vertica using SQL and build reports.
  • Develop and manage precision volume estimations, proposals, and configuration documentation.
  • Design and execute audience segmentation and content-consumption clustering to inform targeting and personalization.
  • Conduct manual data checks and quality assurance to ensure accuracy in precision volume and custom campaign builds (e.g., MedBytes).
  • Measure and analyze campaign performance, develop KPI metrics and optimise future campaign tactics.
  • Measure the effectiveness of marketing products, features, and campaigns, building compelling visualizations and case studies to be shared with the business.
  • Analyze, monitor, and report on marketing campaign performance by various segmentation approaches.
  • Identify new ways to use data, configure data sets and dashboards to increase efficiencies.
  • Advise on advanced analytical methods to deepen customer understanding.
  • Maintain operational dashboards and performance tracking reports to support business reviews.
  • Collaborate with cross-functional partners to streamline data workflows and improve process automation.
  • Support ad hoc analysis and special projects that enhance marketing efficiency and impact.

Qualifications

  • Bachelor’s degree in Marketing, Business Analytics, Data Science, or a related field.
  • 2–4 years of experience in digital marketing analytics, audience segmentation and profiling or data management.
  • Strong analytical skills with advanced proficiency in Excel or Google Sheets; familiarity with SQL, BI tools, or data visualization platforms (Tableau preferred).
  • Strong understanding of digital marketing metrics, segmentation, and performance measurement and can showcase impactful and actionable insights.
  • Experienced setting up and analyzing data from A/B and MVT.
  • Excellent attention to detail and ability to manage multiple priorities in a fast-paced environment.
  • Effective communication and collaboration skills.

Marketing Data & Insights Analyst employer: WebMD

WebMD is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of Greater London. With a strong focus on employee growth, we offer numerous opportunities for professional development and advancement within the digital marketing field, particularly in the healthcare sector. Our commitment to innovation and excellence ensures that you will be part of a team that values your contributions and supports your career aspirations.

WebMD

Contact Details:

WebMD Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Marketing Data & Insights Analyst

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 WebMD!

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 Marketing Data & Insights Analyst at WebMD.

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 WebMD.

Apply Directly through Our Website

When you find a suitable opening like Marketing Data & Insights Analyst at WebMD, 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 Marketing Data & Insights Analyst

Precision Targeting
Campaign Configuration
Performance Measurement
SQL
Data Analysis
Audience Segmentation
Content-Consumption Clustering

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 WebMD, 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 WebMD. 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 WebMD

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 WebMD!

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.