Lead Data Analyst

• Collect, integrate, clean, and analyze large datasets from multiple internal and external sources.
• Develop scalable analytics solutions and automate workflows to improve efficiency and accelerate insights.
• Use Python and AI-assisted tools to build analytical models and rapidly prototype solutions.
• Identify trends, patterns, and opportunities that support business strategy and decision-making.
• Create clear visualizations and communicate insights to technical and non-technical stakeholders.
• Partner with cross-functional teams including business, strategy, operations, and leadership to deliver data-driven recommendations.

• 4+ years of experience in data analytics, statistical modeling, business intelligence, marketing analytics, consulting, or a related quantitative field.
• Strong Python skills for data analysis, automation, and modeling.
• Experience working with SQL and cloud-based data platforms (AWS preferred).
• Proven ability to work with large, complex datasets and build repeatable analytical processes.
• Experience analyzing customer, behavioral, digital, geographic, marketing, or operational datasets.
• Knowledge of predictive modeling, segmentation, forecasting, trend analysis, and opportunity assessment.

• Opportunity to work with a leading company in the biotech marketing sector.
• Remote work arrangement.
• Engaging projects with diverse datasets.

We’re working with a New York based marketing client, specializing in biotech. This company is seeking a Lead Data Analyst to investigate complex business problems using structured and unstructured datasets and analytical tools.