Data Analyst

Our client is a New York based marketing client, specializing in biotech. They are currently looking for a Senior Data Analyst to join their team as a contractor. This role is 100% remote. Please read below to determine if this is a fit.

• Initial contract is for 2 months with option for renewal.
• Unable to consider candidates with work visa transfer or sponsorship needs (now or in the future).
• No 3rd parties.
• W2 hourly only
• Rate is $60-68/hr W2——100% remote (must be US based)

As a Senior Data Analyst you will be responsible for investigating complex business problems using a combination of structured and unstructured datasets and analytical tools., * 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.

• 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.