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Top Mid Level Data & Analytics Jobs in New York City, NY
As a Data Business Consultant, you will support clients by translating business requirements into analytical solutions, conduct exploratory analyses, and apply advanced statistical techniques. You'll collaborate with analytic groups to enhance data management, streamline reporting, and offer data-driven insights to facilitate business transformation.
The Business Analyst will focus on improving accuracy and visibility of client usage and billing data. Responsibilities include creating data alerts, leading monthly billing processes, and collaborating with multiple teams on usage metrics and the implementation of a new billing system. This role requires a strong analytical background to translate data into actionable insights.
Develop and validate models to solve clinical problems using ML and NLP techniques. Collaborate with stakeholders to ensure high quality research outcomes. Contribute to model development projects and work on productionization and delivery.
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As a Machine Learning Infrastructure Engineer at Peloton, you will support ML development by creating scalable infrastructure solutions, collaborating with ML teams, and developing tools for ML model management, deployment, and experimentation.
As a Senior Data Engineer at Capital One, you'll design and implement data solutions in a collaborative Agile environment. You will work with advanced tools and technologies to resolve complex business challenges and enhance user experiences while focusing on big data and cloud-based warehousing capabilities.
The Sr. Corporate Development Analyst will support the Corporate Development team with M&A activities, build financial models, manage transactions, research industry trends, and create executive presentations, while collaborating with finance, legal, and operational teams.
The Senior CRM Analyst at Squarespace will develop and analyze CRM email acquisition strategies, support marketing campaigns, and maintain data integrity while leveraging insights to drive revenue growth. The role involves using SQL and Python, maintaining performance dashboards, and collaborating with cross-functional teams to optimize CRM efforts.
The HR Analytics Specialist will analyze and present HR data to drive decisions, clean and validate data, implement data pipelines, generate reports and dashboards, and work closely with teams to provide insights on key metrics and KPIs.
As a Market Risk Solutions Analyst III, you will bridge product owners and software developers by documenting business requirements, translating them into technical solutions, and conducting data analysis to provide insights that guide business decisions. The role emphasizes collaboration, technical fluency, and the ability to manage dependencies to enhance system performance and scalability.
The Data Scientist II will collaborate with technical teams to enhance recommendation systems, optimize ad placements, and analyze user interactions. Responsibilities include creating and maintaining metrics, driving technology best practices, mentoring junior data scientists, and proposing algorithmic solutions to improve business performance.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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