Data analyst remote jobs in Ozone Park, NYCreate job alerts

... data and performance details Requirements: * Must have 5+ years working as a fund performance or portfolio reporting analyst with a firm that has complex and illiquid private equity and credit ...

Data gathering, aggregation and analysis * The role also requires translating quantitative ... Direct@DB.com . #LI-HYBRID #LI-REMOTE #LI-ONSITE We strive for a culture in which we are empowered ...

Hybrid or Remote: On-site * Shift: Day Shift * Schedule: 8:00 AM - 5:00 PM * Hours: 40 hours/week ... Knowledge of population health, quality improvement principles, data analytics. * Compassionate ...

Business Analysis Knowledge: Skilled to work in a fast paced environment. Must have strong ... with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an ...

Financial Sales Executive Reports To: VP of Client Relations Location: [Remote) Salary: $180,000 ... Conduct market research and competitive analysis to inform strategic decisions. * Scout, engage ...

Strong analytical and problem-solving abilities. • Client-Relations Skills: Excellent ... arrangements and remote work options. • Employee wellness programs and resources.Equal ...

Since 2010 Synergisticit has helped Jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients.Here at SynergisticIT We just don't focus on getting you a Job we make careers.Positions are open for all visas and US citize...

About the job Data Entry Analyst - Remote. Our team is growing, Optimere is looking for a Data Entry Clerk. Code cases in preparation for data entry.

About the job Graduate Data Analyst. Ideally 1-3 years of experience, however, will also consider graduates straight from University.

A data analyst on this team must be comfortable working in a quantitative research capacity, providing actionable business insights that may require manipulation and analysis of complex, high-volume, high-dimensional data from a variety of sources. Previous experience with database marketing, dat...

Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics. Bachelor’s degree in advanced Mathematics.

The vision of the Machine Learning (ML) Engineering team at Disney is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust produc...

This is one of the world's top algorithmic trading firms, looking for data engineers who are well-versed in Python programming. A community of self-starters from multiple tech backgrounds - maths, computer science, statistics, physics, engineering - they have built one of the world's most sophist...

The solution is built using containerization, container orchestration and cloud architecture and built on top of 100% open source foundations. Production Inference is a critical step on the MDLC to realize the business value for Bloomberg AI applications and the advent of large language models (L...

In this role, you will have the unique opportunity to deliver a blend of financial and operational analysis, process documentation and improvements, financial modeling, reporting and senior management support to drive the strategic direction of Bloomberg's Legal, Compliance, and Risk Functions. A...

Title: Lead Data Engineer - Big Data. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan f...

Read and strictly follow the In-Home Usage Test Daily Schedule provided with each product testing project (may include tasks such as unpacking, reading instructions, journal entries, online or mobile feedback, usage of product for a certain amount of time, writing reviews, taking pictures, etc.

Grade Level (for internal use):. Repeat analytical contact with rated entities' senior management, and presentation of analytical findings to internal and external constituencies.