Seeking a Senior Data Analyst to investigate complex business problems using structured and unstructured datasets and analytical tools. Responsibilities include collecting, integrating, and analyzing large datasets, building scalable analytics solutions, and communicating insights to stakeholders. Requires 4+ years of experience, strong Python skills, and proficiency with SQL and cloud-based data platforms.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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.
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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.
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Required Qualifications:
- 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.
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