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.
The Role
- 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.
What You'll Need
- 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.
What's On Offer
- Opportunity to work with a leading company in the biotech marketing sector.
- Remote work arrangement.
- Engaging projects with diverse datasets.
Apply via Haystack today!