Senior Lead, Marketing Analytics, Data Science

🕒 Yesterday

🏖️ New Jersey, Texas – Remote

🏖️ New Jersey – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• Lead the evolution of marketing measurement frameworks and attribution methodologies quantifying marketing's contribution to pipeline, revenue, and business growth • Develop and evaluate multi-touch attribution approaches, influence measurement strategies, and channel contribution models to guide investment decisions and budget optimization • Identify measurement gaps and recommend improvements in data collection, metadata strategies, campaign tagging, and platform integrations • Design and develop predictive models 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 marketing and sales datasets • Translate analytical findings into recommendations improving conversion rates, pipeline generation, audience engagement, and marketing ROI • Develop audience segmentation frameworks supporting account-based marketing, customer expansion, digital engagement, and campaign personalization • Analyze customer, account, behavioral, technographic, and engagement data to identify growth opportunities • Serve as a subject matter expert on advanced analytics, marketing measurement, and data science within marketing • Evaluate emerging analytical techniques, AI capabilities, and measurement approaches • Present analytical findings and strategic recommendations to senior marketing leaders and stakeholders • Collaborate with marketing leaders, campaign teams, digital teams, operations, sales, and data engineering

🎯 Requirements

• 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 • Master's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field preferred • Strong proficiency with Power BI preferred

🏖️ Benefits

• Employee learning programs with access to industry learning and certifications, including Microsoft, Google, Amazon, Skillsoft, and many more • Company-wide volunteering and giving platform • Ability to donate, start fundraisers, volunteer, and search over 2 million non-profit organizations • Employee benefits designed to provide choice and support employees and their families • Medical or religious accommodation for eligible employees regarding vaccination requirements