Experian
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
Senior Director, Analytics
Job not on LinkedIn
November 27
Experian
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
📋 Description
• Lead the assessment of new data sources, including coverage, quality, compliance, and commercial potential. • Define and lead the consumer-permissioned data strategy from an analytics perspective, ensuring regulatory compliance and business understanding. • Develop valuation frameworks to guide investment in and acquisition of data assets. • Build and deploy statistical, predictive, and machine learning models to extract relevant insights from data. • Partner with Product teams to translate evaluated data opportunities into high-value features and scalable products. • Design compelling visualizations and dashboards in Tableau to communicate findings to executives, clients, and strategic partners. • Work with the M&A team to assess the data value of acquisition targets and support due diligence processes. • Present clear, data-backed business cases to inform executive decision-making. • Lead client-facing meetings to present analytical findings, demonstrate product capabilities, and guide solution adoption. • Develop analytics teams, promoting a culture of innovation, and measurable impact.
🎯 Requirements
• Master's degree in a technical field such as Data Science, Computer Science, Statistics, Engineering, or a related discipline • 10+ years of industry experience in analytics, data strategy, or related fields; minimum 5 years in a leadership role • Proven experience evaluating, monetizing, and integrating data assets • Technical expertise in Python, SQL, Tableau, and experience with AWS • Background in statistical modeling, machine learning, and data monetization strategies.
🏖️ Benefits
• Great compensation package and bonus plan • Core benefits including medical, dental, vision, and matching 401K • Flexible work environment, ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
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