Lead Analyst - Digital Analytics

About the Role

Key Responsibilities

• Leverages expert business, analytical and technical knowledge to lead discussions with cross-functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
• Applies advanced analytical techniques to solve large-scale business problems with significant impact on current and future business strategy.
• Organizes and oversees the development of requirements and resources necessary to meet established objectives.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and drive change.
• Translates recommendations into communication materials to effectively present to all levels of management.
• Incorporates visualization techniques to support analysis points and facilitate understanding for less technical audiences.
• Identifies and gathers relevant, high-quality data sources to fully address problems through testing or exploratory data analysis (EDA).
• Integrates and transforms disparate data sources, applying appropriate data hygiene techniques.
• Documents assumptions, methodology, validation, and testing to facilitate peer reviews and compliance.
• Monitors and adopts emerging technologies affecting scientific methodologies and analytical approaches.
• Delivers complex analysis and findings succinctly to influence senior executives and support business decisions.
• Provides subject matter expertise in operationalizing recommendations.
• Researches and pursues industry-leading practices in data and analytics to advance knowledge.
• Creates new and emerging data sets and incorporates them into insights through data wrangling and munging.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.

Requirements

• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline, or 4 years of related experience in lieu of degree.
• 8 years of data & analytics experience; or 6 years of experience plus up to 2 years of relevant industry experience; or advanced degree with 6 years of experience in data/analytics or relevant industry experience.
• 3 years of direct and/or indirect management experience.
• Demonstrates expert skills in mathematical and statistical techniques for fact-based decision-making.
• Expert knowledge of data analysis tools, data visualization, SQL, SAS, BI tools, and relevant industry data and methods.
• Experience with digital analytics, tagging, and CRO for 5+ years.
• Proficiency with Google Analytics, Adobe Analytics, and clickstream tagging tools like Tealium or GTM.
• Experience with journey analysis and predictive modeling.
• SQL required; Python a plus.

Nice to Have

• Experience with Python.
• Experience with predictive modeling.

Qualifications

• Bachelor's degree in a quantitative discipline or 4 years of related experience in lieu of degree.
• 8 years of data & analytics experience, or 6 years plus relevant industry experience, or advanced degree with 6 years of experience.

Benefits & Perks

• Medical, dental, and vision coverage.
• 401(k) retirement plans.
• Flexible spending accounts (FSA) and health savings accounts (HSA).
• Life and disability insurance.
• Commuter benefits.
• Pet benefit programs.
• Employee discount programs.
• Employee Assistance Program (EAP).
• Paid parental leave.
• Paid time off (PTO), sick days, and a floating holiday.
• Annual discretionary incentive awards or other incentive compensation.