Top Mid Level Data & Analytics Jobs in New York City, NY
The Lead Data Engineer will architect, design, and optimize data structures and processes for accurate audience targeting. This role involves leading a team, collaborating with stakeholders, managing data pipelines, and ensuring high-quality project delivery.
The Senior Revenue Operations Analyst will execute commission runs, provide data-driven insights to the GTM team, enhance Salesforce workflows, oversee automated email processes, and maintain documentation for GTM processes.
As a Research Scientist II at Spring Health, you will lead research efforts in health economics and outcomes, focusing on designing studies, developing statistical methods, and publishing findings to enhance mental healthcare delivery. Your role includes collaboration across disciplines to turn clinical data into actionable insights and improve treatment outcomes.
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The Outcomes Research Data Scientist will lead analyses of clinical data for real-world evidence studies, interpret findings, communicate results to partners, collaborate with various internal teams, and ensure compliance with regulations in the healthcare domain.
As a Senior Data Engineer at Place Exchange, you will design and build scalable systems for an out-of-home digital ad exchange. Your responsibilities include developing features independently, mentoring junior engineers, and implementing best practices for software development. You'll work with various technologies to enhance their platform and optimize system performance.
The Billing Analyst at Carrot Fertility manages the billing process, ensuring invoice accuracy, monitoring payments, and optimizing cash flow. The role involves analyzing billing data, resolving discrepancies, and providing customer service regarding billing inquiries while collaborating with internal teams.
Experienced data analyst role focusing on supply chain analytics at a tech company revolutionizing the dental industry. Responsibilities include developing insights, defining data language, facilitating decision-making, mentoring analysts, and utilizing data for problem-solving. Requires strong SQL and Python skills, along with a quantitative degree and experience in operations analytics or data science.
Lead design and development of scalable data architectures for batch and streaming processing. Optimize ETL/ELT processes and manage database performance. Collaborate with teams to ensure data solutions meet business needs and support decision-making. Drive continuous improvement in data engineering workflows and implement MLOps for machine learning models.
The Data Analyst III will focus on creating insights to drive business growth by partnering with senior stakeholders and supporting Sportsbook & Casino strategy. Key responsibilities include financial forecasting, KPI reporting, and customer migration analysis to inform business strategy.
The analyst will process and monitor private credit data, produce research and ranking reports, track market growth, and enhance data products. Responsibilities include client communication and managing custom requests to maintain client relationships.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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