Lead Data Analyst (Contractor-100% remote)

About the role

Our client is a New York-based marketing firm specializing in biotech, seeking a Senior Data Analyst to join their team as a contractor. This role is 100% remote for US-based candidates. The initial contract is for 2 months with an option for renewal. Candidates requiring work visa transfer or sponsorship (now or in the future) will not be considered. W2 hourly only.

Rate: $60–68/hr W2

Responsibilities

• 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.

Requirements

• 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.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable business insights.
• Excellent communication skills and experience presenting findings to diverse audiences.
• Curious, self-driven, and adaptable, with an interest in leveraging AI and emerging technologies to improve analytics and business outcomes.