Note: The job is a remote job and is open to candidates in USA. Kyndryl designs, builds, manages, and modernizes mission-critical technology systems. The Marketing Analytics & Data Science Lead advances marketing measurement, audience intelligence, attribution, predictive analytics, and data-driven decision-making to improve marketing effectiveness and revenue growth. The role partners with marketing, sales, operations, digital, campaign, and data engineering teams to deliver actionable insights and strategic recommendations.
Responsibilities
- Lead the evolution of marketing measurement frameworks and attribution methodologies that quantify marketing's contribution to pipeline, revenue, and business growth
- Develop and evaluate multi-touch attribution approaches, influence measurement strategies, and channel contribution models that guide investment decisions and budget optimization
- Identify measurement gaps and recommend improvements in data collection, metadata strategies, campaign tagging, and platform integrations to improve reporting accuracy and analytical rigor
- Design and develop predictive models that improve marketing effectiveness, including response scoring, buyer propensity models, lead prioritization, audience engagement models, and lifecycle analysis
- Apply statistical techniques, machine learning methodologies, and AI-enabled approaches to identify patterns, trends, and opportunities hidden within large marketing and sales datasets
- Translate analytical findings into practical recommendations that improve conversion rates, pipeline generation, audience engagement, and marketing ROI
- Develop audience segmentation frameworks that support account-based marketing, customer expansion strategies, digital engagement programs, and campaign personalization
- Analyze customer, account, behavioral, technographic, and engagement data to identify growth opportunities and uncover actionable audience insights
- Serve as a subject matter expert on advanced analytics, marketing measurement, and data science methodologies within the marketing organization
- Drive innovation by evaluating emerging analytical techniques, AI capabilities, and measurement approaches that improve marketing effectiveness and operational efficiency
- Present analytical findings and strategic recommendations to senior marketing leaders and stakeholders, translating complex methodologies into clear business actions
Skills
- * Bachelor's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field
- * 5+ years of experience in marketing analytics, data science, revenue operations, business analytics, or related analytical disciplines
- * Advanced SQL skills with experience working across large and complex datasets
- * Strong proficiency with Python, R, or comparable analytical and visualization platforms
- * Experience developing predictive models, scoring methodologies, segmentation frameworks, or statistical analyses used in business decision making
- * Strong understanding of attribution methodologies, funnel measurement, and marketing performance evaluation
- * Experience working with CRM, marketing automation, data warehouse, and digital measurement platforms
- * Ability to independently scope, lead, and deliver complex analytical projects from problem definition through implementation
- * Strong communication and data storytelling skills with the ability to influence senior stakeholders
- * Experience leveraging AI and machine learning techniques to automate analyses, accelerate insight generation, or improve business outcomes
- * Advanced analytical problem solving
- * Statistical reasoning and experimentation design
- * Predictive modeling and machine learning
- * Marketing measurement and attribution expertise
- * Strategic thinking and business acumen
- * Executive communication and storytelling
- * Intellectual curiosity and innovation
- * Independent ownership and accountability
- * Cross-functional influence without formal authority
- * Passion for translating data into measurable business impact
- * Masters degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field
- * Strong proficiency with Power BI
Benefits
- Fully Remote
- Employee learning programs provide access to industry learning and certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.
- Through the company-wide volunteering and giving platform, employees can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.
- Kyndryl offers benefits that give employees choice, reflect the diversity of employees, and support employees and their families through the moments that matter.
Company Overview
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