We are looking for a Data Scientist to join a fast-paced investment environment in New York, New York, where data-driven insight plays a central role in research and decision-making. This position will focus on turning complex datasets into practical analysis, scalable tools, and clear intelligence that support investment ideas. The ideal candidate brings strong technical depth, sound statistical judgment, and the ability to shape loosely defined questions into structured, repeatable research.<br><br>Responsibilities:<br>• Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows.<br>• Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process.<br>• Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses.<br>• Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments.<br>• Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time.<br>• Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use.
<p>We are looking for a detail-oriented Data Analyst to support reporting, data quality, and performance insights for programs based in Newark, New Jersey. This Long-term Contract position combines data administration, analytics, and stakeholder support in a hybrid work environment. The person in this role will help translate complex information into clear reporting, strengthen data accuracy, and guide providers and staff in effective data submission and use.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the ongoing use and maintenance of the organization’s data collection and reporting platform to ensure consistent and reliable information management.</p><p>• Review submitted data for completeness and accuracy, identify discrepancies, and escalate issues that may affect reporting quality or compliance.</p><p>• Prepare recurring reports on a weekly, monthly, and quarterly basis for leadership, funding partners, and member organizations using automated and manual reporting methods.</p><p>• Develop dashboards, charts, tables, and written summaries that make findings easy to understand for both technical and non-technical audiences.</p><p>• Respond to custom reporting requests by gathering relevant information, analyzing results, and delivering timely data insights to internal teams.</p><p>• Produce monitoring reports that help track agency performance and adherence to required data and reporting standards.</p><p>• Train new providers on reporting expectations, data submission procedures, and proper use of the organization’s data system during onboarding.</p><p>• Provide ongoing technical guidance to staff and external partners on accessing, submitting, and interpreting data within the reporting system.</p><p>• Support periodic program reviews by supplying data analysis, contributing to review discussions, and identifying trends that can inform quality improvement efforts.</p><p>• Participate in stakeholder meetings to present findings, answer questions, and offer recommendations related to data quality, reporting, and operational improvement.</p>
We are looking for a Data Analyst to support reporting, visualization, and data-driven decision-making for a long-term contract opportunity in Brooklyn, New York. This position is ideal for someone who can translate complex information into clear insights while partnering with both business stakeholders and technical teams. The role will focus on analytics, reporting development, and data interpretation within an energy and natural resources environment, with opportunities to contribute to broader data integration and advanced analytics efforts.<br><br>Responsibilities:<br>• Build and maintain dashboards, reports, and visualizations that turn large datasets into meaningful business insights.<br>• Analyze operational and financial information to identify trends, exceptions, and performance patterns that support decision-making.<br>• Partner with cross-functional teams to gather reporting needs and convert business questions into effective analytical solutions.<br>• Work with structured data sources and databases to validate accuracy, improve accessibility, and support ongoing reporting processes.<br>• Contribute to data integration and architecture-related initiatives by helping connect information across systems and business functions.<br>• Support reporting tied to finance and accounting activities, including datasets related to general ledger processes.<br>• Use tools such as Power BI or Tableau to present findings in a clear, actionable format for stakeholders.<br>• Assist with exploratory analytics and emerging initiatives involving Python, AI-enabled analysis, or machine learning concepts when applicable.
We are looking for a Data Analyst to support a non-profit organization through careful analysis, issue tracking, and data-driven decision-making. This Long-term Contract position is ideal for someone who can work across ticketing workflows, service desk activity, and business systems to improve visibility and operational efficiency. The role calls for someone who can translate data into practical insights while collaborating with technical and administrative stakeholders.<br><br>Responsibilities:<br>• Analyze operational and service-related data to identify patterns, trends, and opportunities for process improvement.<br>• Monitor and evaluate ticketing system activity, producing reports that help teams prioritize issues and measure performance.<br>• Review service desk tickets to uncover recurring problems, support root-cause analysis, and recommend corrective actions.<br>• Partner with cross-functional teams to gather reporting needs and deliver accurate, timely insights for business decisions.<br>• Maintain and interpret data connected to networking and device management environments to support service quality.<br>• Assist with Salesforce administration-related reporting, data validation, and ongoing data accuracy efforts.<br>• Create dashboards, summaries, and ad hoc analyses that clearly communicate findings to technical and non-technical audiences.<br>• Support data-related activities tied to system or process changes when needed, ensuring documentation and reporting remain consistent.
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
We are looking for a Cyber Security Engineer to strengthen and oversee the organization’s security posture in New York. This role is suited to an experienced, detail-oriented individual who can assess risk, guide security practices, and protect systems across a mixed technology environment. The ideal candidate brings strong judgment, technical depth, and the ability to communicate clearly with stakeholders while handling sensitive matters with discretion.<br><br>Responsibilities:<br>• Lead day-to-day security efforts by identifying vulnerabilities, analyzing threats, and coordinating timely remediation activities across systems and networks.<br>• Evaluate the security of Windows and macOS environments, including patch management practices, endpoint protections, and configuration standards.<br>• Monitor network activity and security controls such as firewalls and related tools to help prevent unauthorized access and reduce operational risk.<br>• Investigate potential incidents, determine the scope of exposure, and drive response actions to contain and resolve security issues effectively.<br>• Review third-party security documentation, including SOC 2 reports, to support vendor risk assessments during contracting and procurement processes.<br>• Help develop, maintain, and reinforce information security policies, standards, and procedures in alignment with regulatory and organizational requirements.<br>• Partner with IT teams, leadership, and internal users to communicate security recommendations, report findings, and support informed decision-making.<br>• Contribute technical and analytical expertise to strengthen monitoring capabilities, improve risk visibility, and support ongoing security program maturity.
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. In this role, you will play a critical part in managing and organizing data systems, ensuring they are optimized for performance and scalability. Based in New York, New York, this position offers an exciting opportunity to work on cutting-edge data platforms and contribute to impactful business solutions.<br><br>Responsibilities:<br>• Design, develop, and maintain data pipelines to support efficient data integration and processing.<br>• Implement and manage Snowflake-based data repositories to centralize and secure organizational data.<br>• Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy.<br>• Develop ETL processes to extract, transform, and load data from various sources into centralized systems.<br>• Collaborate with stakeholders to define data requirements and optimize system performance.<br>• Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions.<br>• Monitor and troubleshoot data systems to ensure reliability and address any issues promptly.<br>• Deploy advanced analytics and AI models to drive operational efficiencies.<br>• Document processes and provide technical support to ensure smooth implementation and usage of data systems.