Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

Location: Minneapolis, MN or New York City, NY (preferred), Other locations include New Jersey, Pennsylvania, or Delaware

Overview: We are seeking a highly skilled Senior Data Analyst to join our team. In this role, you will collaborate with clients to understand data requirements, analyze large data sets, and deliver actionable insights that drive business decisions. Your deep expertise in marketing analytics will be critical in being successful in this role.

Key Responsibilities

• Partner with business leaders to define and understand data requirements, conduct research, and present analytical solutions.
• Manage and execute large-scale data analytics projects, integrating extensive data sets to provide actionable insights and recommendations.
• Design and implement marketing campaigns, including audience selection, campaign strategies, and performance measurement.
• Develop and execute various testing strategies, including A/B testing, multivariate testing, and holdout tests, to optimize marketing efforts.
• Ideate and implement changes to digital marketing materials based on data-driven insights and testing results.
• Monitor and evaluate the outcomes of testing efforts to refine and enhance marketing strategies.
• Develop and maintain technical documentation and client-facing materials to support data-driven decision-making.
• Apply advanced statistical techniques and tools to interpret data and deliver clear, concise data visualizations.
• Ensure compliance with company standards for data acquisition, sharing, and application of recommendations.

Basic Qualifications

• Bachelor’s degree in a quantitative field such as Econometrics, Computer Science, Engineering, Applied Mathematics, or a related discipline, or equivalent work experience.
• Minimum of 5 years of experience in statistics or analytics.

Preferred Skills And Experience

• Extensive experience in marketing analytics, including designing and running marketing campaigns, executing A/B tests, and ideating testing strategies.
• Deep understanding of digital marketing materials and the ability to recommend and implement changes based on analytical insights.
• Proficiency with SAS, SQL, R, or Python for data analysis.
• Expertise in data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical skills with experience in querying and interpreting complex data sets.
• Master’s degree in a relevant field is advantageous.
• Proven experience in designing practical experiments and measuring marketing campaign effectiveness.
• Skilled in analytic storytelling and presentation using PowerPoint or similar tools.
• Effective communication skills for direct interaction with business lines to understand needs and present findings.
• Experience in financial services with in-depth knowledge of financial products, customer interactions, and data systems.
• Demonstrated understanding of statistical analysis methodologies.
• Proven ability to drive analytics into actionable business outcomes.
• Strong project management and organizational skills.
• Ability to work both collaboratively and independently to achieve results.