Analyze marketing and customer data to quantify the impact of marketing initiatives on revenue and business outcomes.
Work closely with stakeholders to understand business requirements and provide strategic insights to solve critical business problems.
Develop and maintain dashboards, visualizations, and performance reports using Tableau.
Write, optimize, and validate SQL queries to extract, transform, and analyze large datasets.
Deliver insights that help optimize marketing strategies across channels, including spend allocation, targeting, and campaign effectiveness.
Conduct customer segmentation, behavioral analysis, and lifecycle performance assessments.
Partner with marketing, product, and analytics stakeholders to understand business needs and translate them into analytical solutions.
Provide clear, actionable recommendations to improve marketing ROI and drive strategic decision-making.
Ensure data accuracy and consistency through regular validation and quality checks.
Stay current with industry trends in marketing analytics, attribution, and measurement methodologies.

Requirements

Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Marketing Analytics, Business Analytics).
4-5 years of experience in marketing analytics, data analytics, or related fields.
Strong proficiency in SQL for data extraction and manipulation.
Hands on experience with Tableau for visualization and reporting.
Solid understanding of marketing measurement concepts, attribution, and performance analytics. Preferably in B2B marketing space.
Excellent communication skills with the ability to translate data into compelling narratives.
Demonstrated experience collaborating with stakeholders and influencing decisions.
Strong analytical thinking, problem-solving abilities, and attention to detail.
Ability to work independently, take initiative, and manage multiple priorities.
****Preferred Qualifications****
Experience working with fintech, financial services, or digital first consumer businesses.
Familiarity with marketing attribution models, MMM, or experimentation frameworks.
Exposure to additional BI or data visualization tools.
Understanding of predictive modeling or statistical analysis techniques.

Benefits

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLTableaudata extractiondata manipulationcustomer segmentationbehavioral analysislifecycle performance assessmentmarketing measurementattributionpredictive modeling

Soft Skills

communication skillsanalytical thinkingproblem-solvingattention to detailcollaborationinfluencing decisionsinitiativetime management