At a Glance
- Tasks: Analyse digital marketing performance and optimise customer journeys for a leading credit card provider.
- Company: Join EXL, a global leader in data and AI with a collaborative culture.
- Benefits: Competitive salary, private healthcare, flexible working, and professional development opportunities.
- Other info: Diverse and inclusive workplace with excellent career growth potential.
- Why this job: Make an impact by driving data-led decisions and enhancing customer experiences.
- Qualifications: 3-5 years in Digital Marketing Analytics and strong analytical skills required.
The predicted salary is between 50000 - 60000 £ per year.
- Job Role Business Analytics-Marketing Analytics
- Experience (In Years) 3-6
- Job Location London, United Kingdom
Job Description
EXL (NASDAQ: EXLS) is a global data and artificial intelligence company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries such as insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with core values of innovation, collaboration, excellence, integrity and respect.
We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com.
Role Title: Digital Analytics Consultant
Location: London, United Kingdom (Flexible hybrid working – 3 days in the office each week)
Employment Type: Permanent or Umbrella Contractor
BU/Segment: Analytics/ Banking
Summary of the role
We are seeking a Digital Marketing Analytics Consultant with 3 to 5 years' experience to support the Digital Experimentation & Analytics team for a leading US credit card provider. This role focuses on using digital marketing and customer data to optimise online acquisition journeys, improve customer experience and increase conversion across digital channels.
Working closely with Digital Marketing, Product and Analytics teams, you will analyse campaign and customer performance, support experimentation programmes, deliver actionable insights and help drive data‑led decision making.
Responsibilities
- Analyse digital marketing performance and customer journeys to identify opportunities to improve acquisition, engagement and conversion.
- Support A/B and multivariate testing programmes by measuring results, identifying insights and recommending optimisation opportunities.
- Develop dashboards, reports and KPIs to monitor digital marketing and customer experience performance.
- Analyse campaign performance and customer behaviour across digital channels to provide actionable recommendations.
- Produce analytical readouts for digital initiatives, product launches and experimentation activities.
- Work with Digital Marketing, Product and Analytics teams to understand business challenges and deliver data‑driven insights.
- Integrate and analyse data from multiple sources to build a complete view of customer and marketing performance.
- Present findings clearly to stakeholders and support data‑driven decision making.
- Continuously develop knowledge of digital products, customer journeys and marketing analytics best practice.
Skills and Personal Attributes
- Bachelor's or postgraduate degree in Business, Economics, Statistics, Mathematics, Engineering, Finance or another quantitative discipline.
- 3 to 5 years' experience in Digital Marketing Analytics, Marketing Analytics, Digital Analytics or Customer Analytics.
- Experience analysing digital marketing campaigns, customer journeys and online conversion performance.
- Strong understanding of digital marketing KPIs, web analytics and customer behaviour analysis.
- Experience supporting A/B testing or digital experimentation programmes.
- Strong analytical and problem‑solving skills with the ability to translate data into business recommendations.
- Experience working with large datasets and analytical tools.
- Excellent communication and stakeholder management skills.
- Ability to work collaboratively within cross‑functional and global teams.
Preferred Qualifications
- Experience within Banking, Credit Cards or Financial Services is highly desirable.
- Adobe Analytics experience (2+ years preferred).
- Experience with Adobe Target, GA4 or similar digital analytics platforms would be advantageous.
- SQL or other data querying experience is beneficial.
- Experience supporting digital acquisition, customer experience or conversion optimisation initiatives.
Benefits
- A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
- EXL provides everyday financial well‑being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions and offers from top retailers. We also offer a Cycle Scheme to save money on bikes and cycling accessories.
- We offer a wide range of professional and personal development opportunities, including online courses, seminars and workshops.
- As an Equal Opportunity Employer, EXL is committed to diversity and does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age or disability status.
- EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan.
- We offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.
To be considered for this role, you must already be eligible to work in the United Kingdom.
Digital Analytics Consultant employer: exl
EXL is an excellent employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in the dynamic field of data analytics and insurance. Our commitment to work-life balance and a supportive environment makes EXL a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Consultant
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like exl!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at exl, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at exl
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with exl’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
