Lead Advanced Analytics

About the Role

Key Responsibilities

• Gather, analyze, and interpret diverse data sets to solve business problems, predict behaviors, and identify causal relationships, trigger points, and predictions.
• Apply advanced statistical methods and traditional modeling techniques to support decision-making, using tools such as Tableau, Palantir, PowerBI, Databricks, AWS Azure, Synapse, H2O Driverless AI.
• Develop business cases and create complex models utilizing big data analytics tools for modeling and process integration, and make recommendations for process, financial, and business model improvements.
• Build and test predictive models on various data samples and verify their accuracy in real-world scenarios.
• Develop visualizations such as dashboards, reports, and charts, and advise business partners on data patterns and relationships to recommend strategic directions.

Requirements

• Bachelor's degree in Business, Marketing, Statistics, Computer Science, or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in web analytics, digital marketing, or a related field.
• Proven experience with web analytics tools such as Google Analytics, Adobe Analytics, and other relevant platforms.
• Strong understanding of SEO, SEM, and digital marketing principles.
• Proficiency in data analysis and visualization tools (e.g., Excel, Tableau, Power BI).
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and presentation skills to convey complex data insights to non-technical audiences.
• Experience with A/B testing and conversion rate optimization (CRO) methodologies.
• Highly motivated, self-starter with a passion for investigation, problem solving, and continuous improvement.
• Ability to work effectively in a fast-paced, dynamic, sometimes ambiguous environment.
• Strong collaboration, team- and time-management skills.

Nice to Have

• Candidates with ability to story-tell with data.

Qualifications

• Preferred Master’s degree from an accredited university in a quantitative field such as Data Science, Math, Statistics, Engineering, or Physics.
• Typically requires 5-8 years of experience.

Benefits & Perks

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond legal requirements
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% on eligible AT&T mobility plans, accessories, internet, and phone