At a Glance
- Tasks: Lead the EMEA insights strategy, turning data into actionable insights for growth.
- Company: Join PHINIA, a leader in sustainable solutions with over 100 years of expertise.
- Benefits: Competitive salary, health benefits, flexible work options, and career development opportunities.
- Other info: Inclusive culture with a commitment to safety and employee well-being.
- Why this job: Make a real impact on sustainability while shaping customer and marketing strategies.
- Qualifications: Experience in analytics, strong Power BI and SQL skills, and a commercial mindset.
The predicted salary is between 60000 - 80000 £ per year.
PHINIA is an independent, market-leading, premium solutions and components provider with over 100 years of manufacturing expertise and industry relationships. We provide fuel systems, electrical systems, and aftermarket products and solutions of the highest quality — developed and manufactured responsibly — that are designed to enhance efficiency and reduce the environmental impact of vehicles, industrial machinery, and other applications.
Our culture promotes and cultivates an inclusive environment, strives to maintain a reputation for excellence, thrives on collaboration, and fosters the development of our talented employees. We believe in making a positive impact through our business and actions.
JOB PURPOSE
We’re looking for a high-impact Customer & Marketing Insights Lead to shape and deliver our EMEA insights strategy. This is a hands-on leadership role where you’ll turn complex, fragmented datasets across customer, sales, pricing, product, and digital into clear, actionable insight that drives growth, margin improvement, and stronger customer engagement.
KEY RESPONSIBILITIES
- Define and deliver the EMEA customer & marketing data and insights roadmap, aligned to growth, retention, mix, margin, and activation priorities.
- Interrogate large datasets to surface performance drivers, opportunities, and root causes.
- Build and own scalable Power BI semantic models and dashboards that translate data into clear, actionable insights.
- Apply advanced analytics (e.g. regression, hypothesis testing) to quantify drivers and support decision-making.
- Integrate internal and external data sources, embedding robust validation and quality controls.
- Establish and govern consistent KPIs and measurement frameworks to create a single, trusted source of truth.
- Deliver customer insight – segmentation, profiling, and performance tracking to support targeting and growth.
- Build capability across the organisation by embedding best practices in data modelling, analytics, and storytelling.
- Ensure GDPR compliance and ethical use of customer and marketing data.
WHAT WE’RE LOOKING FOR
Essential Skills & Experience
- Proven track record leading customer, commercial, or marketing analytics in a multi-market or matrix organisation, with measurable impact.
- Advanced Power BI expertise, including data modelling, DAX, and scalable semantic models.
- Strong SQL skills and experience working across multiple data sources.
- Solid understanding of data modelling and KPI design/governance.
- Experience applying statistical techniques to solve real business problems.
- Strong commercial mindset – able to link insights to revenue, margin, and customer outcomes.
- Hands-on, pragmatic approach – comfortable working with imperfect or evolving data.
Strongly preferred:
- Python and/or R for advanced analytics, automation, and scalable insight generation.
- Experience in pricing analytics, product/catalogue optimisation, or digital marketing performance.
- Experience building reusable data assets.
Optional
- Practical AI/LLM skills to accelerate analysis.
- Familiarity with modern data practices.
Qualifications:
Bachelor’s degree in Data Science, Analytics, Statistics, Economics, Business, Marketing, or a related field (or equivalent experience).
WHAT WE OFFER
We provide compensation and benefits programs intended to attract, motivate, reward, and retain an incredibly talented, globally diverse workforce at all levels within our organization. Our compensation programs are informed by market data and business needs, and we are committed to providing equitable and competitive compensation.
WHAT WE BELIEVE
- Product Leadership - Innovation that brings value to our customers.
- Humility - Seeking out diverse perspectives and working collaboratively.
- Inclusivity - Recognizing our differences makes us stronger.
- Net-Zero - Committed to energy efficiency, waste reduction and beneficial reuse.
- Integrity - Taking responsibility for our decisions and doing what is right.
- Accountability - Taking ownership of our actions and driving results.
SAFETY
You will consistently hear us say Safety First! We are committed to continually improving our strong safety performance supporting the health and wellness of our employees. We encourage safety learning and collaboration to help employees understand and follow applicable safety policies, standards, and procedures.
EQUAL EMPLOYMENT OPPORTUNITY
PHINIA is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, colour, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status.
VISA SPONSORSHIP
PHINIA does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work on a full-time basis, in the country where the position is currently based.
Advancing sustainability today, powering a cleaner tomorrow. Join us on this shared journey to a brighter tomorrow.
EMEA Customer & Marketing Insights Lead employer: PHINIA
PHINIA is an exceptional employer that champions sustainability and innovation while fostering a collaborative and inclusive work culture. With a commitment to employee growth through diverse development opportunities and competitive benefits, PHINIA empowers its workforce to make a meaningful impact in the EMEA region. Join us in our mission to advance a cleaner tomorrow, where your insights will drive real business decisions and contribute to a sustainable future.
StudySmarter Expert Advice🤫
We think this is how you could land EMEA Customer & Marketing Insights Lead
✨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 PHINIA!
✨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 EMEA Customer & Marketing Insights Lead at PHINIA.
✨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 PHINIA.
✨Apply Directly through Our Website
When you find a suitable opening like EMEA Customer & Marketing Insights Lead at PHINIA, 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 EMEA Customer & Marketing Insights Lead
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 PHINIA, 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 PHINIA. 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 PHINIA
✨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 PHINIA!
✨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.
