Lead Data Analyst

About Our Client

The organization is a global provider of marketing, packaging, print, and supply chain solutions designed to strengthen engagement throughout the customer journey. Serving approximately 22,000 clients, including 93% of Fortune 100 companies, and employing 32,000 people across 28 countries, the company delivers creative execution and business process consulting services while supporting efforts to reduce environmental impact.

About the Role

The Lead Data Analyst serves as a strategic analytics advisor, guiding measurement strategies and translating complex data into innovative frameworks that support cross-channel marketing success. This role partners directly with clients to design, implement, and evolve marketing analytics programs, leading initiatives that integrate multi-channel data and transform insights into actionable business outcomes.

Responsibilities

• Collaborate with client leaders to develop marketing analytics strategies supporting personalization, attribution, and media mix optimization.
• Translate complex customer behavior and marketing data into scalable frameworks that drive innovation.
• Lead cross-functional analytics initiatives and enterprise-wide insights projects.
• Provide advanced analytics expertise across insight development, client consultations, strategic planning, and solution design.
• Serve as a thought leader in advanced analytics methodologies and mentor other analysts.
• Design and oversee strategic marketing science initiatives, including testing frameworks, predictive modeling, and audience performance measurement.
• Translate analytical findings into clear recommendations and compelling presentations for executive-level stakeholders.
• Partner with data engineering and technical teams to develop scalable analytics solutions and integrate diverse data sources.

Requirements

• Bachelor’s degree in a quantitative field required; graduate degree preferred.
• Minimum of 9 years of experience in advanced marketing analytics, product analytics, or a related field.
• Experience in retail, financial services, automotive, or consumer packaged goods is preferred.
• Proficiency in Python and/or R, with strong SQL skills and the ability to independently extract and analyze data.
• Strong foundation in probability, regression modeling, machine learning ensembles, and custom modeling using R and Python.
• Experience with customer or store segmentation, forecasting including ARIMAX, marketing mix modeling, multi-touch attribution, and causal analysis.
• Basic knowledge of attitudinal research and segmentation with experience developing behavioral models preferred.
• Comfortable using generative AI for coding, research, methodology summaries, and client presentations.
• Excellent communication, storytelling, presentation, and client engagement skills.
• Consultative problem-solving ability with the capacity to identify opportunities beyond immediate client requests.
• Ability to lead complex projects, mentor junior analysts, and work independently with minimal supervision.
• Adaptable and resilient with the ability to thrive in dynamic, fast-paced environments.

Preferred Qualifications

• Experience with cloud data platforms such as Snowflake, AWS, Databricks, or Microsoft Fabric.
• Familiarity with modern data stack technologies including PySpark, Snowpark, and Pandas.
• Understanding of graph databases, NoSQL systems, and semi-structured or unstructured data.
• Basic data engineering experience and ability to collaborate effectively with data engineering teams.
• Experience with version control and development platforms such as Azure DevOps or Git.
• Experience integrating web analytics platforms such as Google Analytics and BigQuery into analytics projects.
• Familiarity with business intelligence and data visualization tools such as Tableau, Power BI, or SiSense.

Pay

Salary range of $107,000 to $171,200 per year. Compensation may vary based on geographic location and other relevant factors, including potential future adjustments.