Senior Marketing Data Analyst

Senior Marketing Data Analyst

Full-Time 40500 - 49500 £ / year (est.) Home office (partial)
Wolfspeed

At a Glance

  • Tasks: Lead marketing performance measurement and optimise data-driven insights for strategic decisions.
  • Company: Wolfspeed, a leader in silicon carbide technology, driving sustainable innovation.
  • Benefits: Join a dynamic team with a focus on innovation and meaningful work.
  • Other info: Fast-paced environment with opportunities for growth and collaboration across teams.
  • Why this job: Shape the future of energy while making a real impact through data analytics.
  • Qualifications: 5+ years in marketing analytics; strong skills in Google Analytics and data visualisation tools.

The predicted salary is between 40500 - 49500 £ per year.

The power to make it real.

At Wolfspeed, we believe the most powerful innovations are created by people who care deeply about what they build and why it matters.

As the leader in silicon carbide technology, we are enabling a more sustainable, electrified future, one breakthrough at a time.

Our team at Wolfspeed is bold, modern, and relentlessly focused on execution.

We are building the foundation for the next decades of innovation, and we’re looking for people who are ready to help shape it.

This role plays a critical part in Wolfspeed’s mission to scale world-class silicon carbide technology safely, reliably, and sustainably.

In your role as a Senior Marketing Data Analyst, you will lead the measurement, reporting, and optimization of Wolfspeed's global marketing performance.

Working across website analytics, marketing automation, CRM, paid media, and social platforms, you will transform complex, multi-source data into actionable insights that help marketing leaders make informed strategic decisions.

This is a highly visible role that combines hands‑on analytics expertise with strategic influence, helping establish reporting standards, improve data governance, and create a single source of truth for marketing performance.

Key Responsibilities

  • Design, build, and maintain dashboards and reporting frameworks that consolidate data across Google Analytics, Salesforce, Pardot, paid advertising, social media, and other marketing platforms.
  • Analyze campaign, channel, funnel, pipeline, and ROI performance to identify trends, opportunities, and recommendations for optimization.
  • Translate complex, multi-source data into clear insights and business recommendations for marketing and executive stakeholders.
  • Establish and maintain KPI definitions, reporting standards, data governance practices, and attribution methodologies across marketing systems.
  • Partner closely with Marketing, Marketing Operations, Sales Operations, IT, and Web teams to ensure data quality, reporting consistency, and alignment between marketing activities and business outcomes.
  • Required Qualifications
  • Bachelor's degree in Marketing, Analytics, Statistics, Business, Data Science, or a related field, or equivalent practical experience.
  • 5+ years of experience in marketing analytics, digital analytics, business intelligence, or a related data analysis role, preferably within a B2B environment.
  • Hands‑on experience with Google Analytics (GA4), Salesforce CRM, and Pardot or a comparable marketing automation platform.
  • Proven experience developing dashboards and reports using Power BI, Tableau, Looker, or similar business intelligence tools.
  • Strong SQL skills and experience working with large, complex datasets from multiple sources.
  • Demonstrated ability to communicate technical findings and data-driven insights to non-technical stakeholders.
  • Experience measuring marketing attribution, lead lifecycle performance, pipeline influence, and campaign ROI.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Ability to work in a fast‑paced, global environment while managing multiple priorities.
  • Preferred Qualifications
  • Experience within a technology, semiconductor, manufacturing, or industrial B2B organization.
  • Familiarity with paid advertising platforms, social media analytics tools, and digital marketing measurement frameworks.
  • Experience establishing reporting governance frameworks, KPI standards, or analytics centers of excellence.
  • Experience with or understanding of SEO and GEO/AEO (Generative/Answer Engine Optimization) measurement, including tracking visibility across AI-powered search and answer platforms.
  • Working knowledge of ETL processes, data integration concepts, and marketing data warehousing solutions.

Why Wolfspeed?

At Wolfspeed, we believe the most meaningful work happens when innovation and purpose come together.

As the global leader in silicon carbide technology, we are powering the future of energy, enabling cleaner transportation, more efficient power systems, and solutions that make a lasting impact on how the world works.

But our success is not driven by technology alone.

It's driven by people.

Just as we take ownership of our technology leadership, we take accountability for how we show up for our employees, our customers, and the communities we serve.

That's how we power the future, together.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Wolfspeed is a powerhouse semiconductor company focused on silicon carbide and Ga N technologies.

After more than thirty years of forging new technology adoption and transformation, our Wolfspeed® power and radio frequency (RF) semiconductors are leading the industry through unrivaled expertise and capacity.

If you require an accommodation to complete an online application, please contact access HR at +1 (919) 407-7333

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Senior Marketing Data Analyst employer: Wolfspeed

At Wolfspeed, we pride ourselves on fostering a dynamic and inclusive work culture where innovation thrives. As a Business Intelligence Analyst, you will not only contribute to groundbreaking silicon carbide technology but also enjoy opportunities for professional growth and development in a supportive environment. Our commitment to sustainability and excellence ensures that every team member plays a vital role in shaping a cleaner, electrified future.

Wolfspeed

Contact Details:

Wolfspeed Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Marketing Data Analyst

Get Involved in Data Science Meetups

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We think you need these skills to ace Senior Marketing Data Analyst

Google Analytics (GA4)
Salesforce CRM
Pardot
Power BI
Tableau
Looker
SQL

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!

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Craft a Tailored Cover Letter:For a full-time role at Wolfspeed, 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 Wolfspeed. 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 Wolfspeed

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 Wolfspeed!

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.