4385 Data Engineer Regulatory Reporting jobs in New York,NY

Compliance Analyst - Operations

Interstate Waste Services

Brooklyn, NY 11220

Proven ability to communicate information to all levels of the organization
Strong verbal and written communication skills
Strong interpersonal and customer service skills
Strong organizational skills and attention to detail.
Strong time management skills with a proven ability to meet deadlines
Strong analytical and critical thinking skills
Demonstrated ability to use a data-driven approach to decision making
Ability to work independently and under pressure to meet deadlines
Ability to function in a high-paced and at times stressful environment
Ability to design reporting hierarchies
Master level excel abilities
Ability to respectfully handle confidential and sensitive information
A minimum of five years of experience as a data analyst, contract specialist or similar experience required.
Demonstrated experience meeting business commitments, driving change and implementing process improvements.

MJHS

New York, NY 10040

Bachelor's Degree in Statistics, Economics, Business or other related field required.
5 years experience in Healthcare Economics, Statistics, Data Analysis, Financial Reporting, Actuary, Managed Care, and/or Long Term Care operations experience required.
Medicare and/or Medicaid Managed Care experience required.
Experience with regulatory reporting required.
Excellent Word, Excel, Access, Project, Visio skills.

JLL

Jersey City, NJ 07302

10+ years implementing RCM and CbM/PdM methods with extensive knowledge of mechanical, electrical, plumbing, and fire suppression systems in commercial, manufacturing, laboratory, or distribution facilities
Proven experience operating building automation systems, energy management platforms, and CMMS/EAM systems with strong data analytics and capital planning capabilities
Background in multi-disciplinary projects applying system integration techniques across diverse asset types, with experience implementing Management Systems (ISO9001, ISO55001)
Exceptional ability to analyze incomplete data sets, deliver informed recommendations, and communicate complex technical information through clear written and oral reports
Strong Microsoft Excel proficiency for manipulating large data sets with systematic attention to detail and advanced organizational skills to balance multiple stakeholder requirements
Proven training, coaching, and mentoring abilities using various tools and techniques while interpreting organizational goals into actionable departmental activities
Self-motivated collaborative leader with strong interpersonal skills who embraces change, develops innovative solutions, challenges the status quo, and works effectively without direct supervision
Practical experience developing and optimizing maintenance strategies, lifecycle costing, and total cost of ownership analysis

BNY

New York, NY 10261

Spectrum

New York, NY 10036

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence
Strong command of the full data science lifecycle in production settings
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field