The Healthy Eating Unit within the New York City Department of Health and Mental Hygiene’s (DOHMH) Bureau of Chronic Disease Prevention is seeking up to 2 part-time , temporary, Data Entry Specialists to support data entry for the Just Say Yes to Fruits and Vegetables Stellar Farmers Markets (SFM) , a program funded by the Supplemental Nutrition Assistance Program Education (SNAP-Ed) via a contract with New York State Health Department.

Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.

Knowledge of basic computer programs and basic typing abilities including email response and data entry. We are currently looking for individuals interested in participating in remote short studies and data entry/feedback for our company and our industry partners.

Data Entry & Analytics. We need help in extrapolating raw data from surveys, entering data into software and interpreting what it all means. Film/Movie - Production, Film festivals, Distribution.

Customer Service Computer Job - Work from Home Part Time. But none of these work unless we have participants who are willing to answer questions, join focus group zoom meetings or even test products hands-on and provide feedback.

Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.

Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.

Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.

Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.

The systems tested include many data products from remote sensing platforms that collect different images and geospatial information including electrical-optical or visible (E/O), Synthetic Aperture Radar (SAR), Overhead Persistent Infrared (OPIR), motion, multi-spectral and hyper-spectral imagery, and lidar.

Outreach Housing Specialist participate in homeless coalition meetings, coordinated entry case conferencing, maintain appropriate client data in client case file, the Homeless Management Information System (HMIS), and PATH-specific data systems, including spreadsheets and grant-prescribed data systems.

Managing and executing large finance, enterprise and/or data architecture transformation programs; OneStream Training Credentials: Designing an Application, Implementing, Building Basic Reports, or Getting Started with OneStream.

S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on entry-level ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.

The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.

Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.