Senior Manager

Posted 2 Days Ago
Be an Early Applicant
New York, NY, USA
Hybrid
107K-117K Annually
Senior level
Information Technology • Database • Consulting
The Role
Analyze customer behavior, segmentation, clickstream data, attribution, and marketing campaign performance. Design A/B tests, apply statistical modeling using SQL, Python, and SAS, and develop automated Tableau dashboards and reporting. Provide actionable insights to improve customer acquisition, retention, engagement, and marketing ROI.
Summary Generated by Built In

Play a key role in understanding customer behavior, developing segmentation strategies, and evaluating marketing campaign performance. Conduct in-depth analysis on customer behavior, including customer segmentation and clickstream data analysis from digital assets (mobile app, website, etc.). Monitor and evaluate marketing campaign performance, providing actionable insights and recommendations to enhance ROI. 

Responsibilities
  • Design and implement A/B testing and experiments to evaluate marketing initiatives and optimize customer acquisition, retention, and engagement strategies. 
  • Leverage marketing analytics frameworks such as customer segmentation and attribution analysis to provide strategic insights. 
  • Good understanding of machine learning concepts and predictive modeling. 
  • Apply advanced SQL, Python, SAS for data extraction, cleaning, and perform advanced statistical modeling and analysis to provide insights from various data sources. 
  • Requires strong experience in data visualization and automation using Tableau. 
  • Build and automate marketing and performance dashboards in Tableau, combining data from multiple sources for comprehensive reporting. 
  • Lead initiatives in marketing reporting automation to streamline recurring analysis processes.
  • Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted. 
Qualifications

Requires bachelor’s degree (or higher) in Marketing Analytics, Statistics, Business Analytics, Data Science, or a related quantitative field plus Three (3) years of experience in data analytics. 

  • Must have at least three (3) years of experience with: Advanced SQL and Python skills
  • Must have at least two (2) years of experience applying advanced SAS skills for statistical analysis
  • Must have at least two (2) years of Tableau experience building multi-page dashboards.

40 hours/week, 9:00am-5:00pm, Salary range: $107,000 to $117,000 per year

To apply: Send resume and cover letter to [email protected]. Must cite job title and code EXL93 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.

Skills Required

  • Bachelor’s degree or higher in Marketing Analytics, Statistics, Business Analytics, Data Science, or a related quantitative field
  • At least three years of experience in data analytics
  • At least three years of advanced SQL and Python experience
  • At least two years of advanced SAS experience for statistical analysis
  • At least two years of Tableau experience building multi-page dashboards

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

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. For more information, visit www.exlservice.com.

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