We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights.<br><br>Responsibilities:<br>• Develop and maintain enterprise data models that support analytics, reporting, and operational needs.<br>• Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements.<br>• Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance.<br>• Collaborate with stakeholders to gather data requirements and ensure business objectives are met.<br>• Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments.<br>• Establish governance processes, including metadata management, data lineage, and quality assurance protocols.<br>• Define and manage canonical data models across key business domains to ensure consistency.<br>• Document and enforce data modeling standards to drive adoption across engineering teams.<br>• Assess and enhance existing data models, identifying areas for improvement in performance and alignment.<br>• Provide strategic guidance on data management tools and technologies to support organizational goals.
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.
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.
We are looking for a Data Modeler to support a healthcare organization in Morristown, New Jersey through a contract opportunity with the potential for a permanent role. In this role, you will shape enterprise data structures that enable reliable integration, analytics, and reporting across complex data environments. This position is ideal for someone who can translate business needs into scalable models while partnering closely with engineering, architecture, and analytics teams.<br><br>Responsibilities:<br>• Create and refine conceptual, logical, and physical data structures for relational databases, dimensional warehouses, and NoSQL platforms.<br>• Produce and update entity relationship diagrams, data movement documentation, and related artifacts that align with enterprise data practices.<br>• Work alongside data engineers and solution architects to ensure models support efficient data ingestion, transformation, and downstream reporting needs.<br>• Convert business objectives and functional use cases into well-structured database designs that promote performance, flexibility, and long-term growth.<br>• Lead model evaluations, uphold data modeling standards, and offer mentorship and technical direction to less experienced team members.<br>• Maintain data dictionaries, metadata records, and lineage documentation to improve transparency and usability across the data estate.<br>• Partner with analytics and reporting stakeholders to develop star and snowflake schema designs for warehouse and data mart solutions.<br>• Address data integrity concerns, duplication risks, and quality issues by applying disciplined modeling techniques and sound design principles.<br>• Contribute to governance efforts by supporting data standardization and cataloging activities across the organization.<br>• Participate in Agile delivery cycles, providing modeling deliverables and documentation in iterative sprint-based workstreams.
We are looking for a Data Strategy and Governance Specialist to help strengthen enterprise-wide data practices in New York, New York. This role will guide the development of practical governance standards, foster collaboration across business and technical teams, and support a more consistent approach to managing information assets. The ideal candidate brings strong communication and change leadership skills, along with experience turning governance concepts into workable processes in evolving organizations.<br><br>Responsibilities:<br>• Partner with stakeholders across departments to establish data governance practices and encourage consistent adoption without relying on direct authority.<br>• Lead workshops and working sessions that align business and technical teams on policies, ownership, and stewardship expectations for critical data assets.<br>• Develop and refine standards related to data classification, retention, lifecycle management, and responsible information use across the organization.<br>• Analyze recurring data quality concerns, identify underlying trends, and recommend practical corrective actions that improve trust in enterprise data.<br>• Support the use and optimization of tools within the Microsoft ecosystem, including SharePoint and Microsoft 365, with exposure to Microsoft Purview where applicable.<br>• Translate complex governance, privacy, and technical topics into clear guidance tailored to executives, operational teams, and other stakeholder groups.<br>• Drive incremental change by introducing governance structures in environments where formal processes may be limited or still maturing.<br>• Contribute to reporting and insight development using business intelligence platforms such as Power BI or Tableau to monitor governance-related outcomes.<br>• Advise on ethical AI and data privacy considerations as part of broader data management and governance efforts.
We are looking for a Solutions Architect to join a Marketing/PR organization in New York, New York on a contract basis with the potential to become permanent. In this role, you will partner with clients and internal teams to shape effective technical solutions, guide implementation planning, and create a strong onboarding experience from the start. This position is ideal for someone who combines architectural insight with client-facing communication and can translate business needs into practical, scalable approaches.<br><br>Responsibilities:<br>• Guide client onboarding engagements and service initiatives, ensuring projects begin with clear direction and strong execution.<br>• Develop and refine onboarding workflows, documentation, and supporting materials to improve delivery efficiency and elevate the customer experience.<br>• Partner with customer success, product, and engineering teams to define how solutions align with each client’s existing technology environment.<br>• Manage technical workstreams across client-facing and internal initiatives, keeping deliverables organized, accurate, and aligned with quality expectations.<br>• Capture business and technical requirements with precision, documenting scope, architecture decisions, and integration strategies for successful delivery.<br>• Represent customer use cases and implementation feedback to product teams to help inform future platform enhancements.<br>• Coordinate with cross-functional stakeholders to maintain alignment throughout the engagement lifecycle and support a consistent client experience.<br>• Drive strong time-to-value by overseeing solution design and project outcomes that meet high technical standards.
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
We are looking for a detail-oriented Data Visualization specialist to join a healthcare-focused organization in New Jersey. This contract-to-permanent opportunity is ideal for someone who can turn complex data into clear, actionable reporting that supports operational and strategic decisions. The role combines dashboard development, data modeling, and close collaboration with business and technical teams to deliver reliable, user-friendly analytics solutions.<br><br>Responsibilities:<br>• Create intuitive dashboards, reports, and visual analytics that highlight performance measures, patterns, and business insights for stakeholders<br>• Work closely with business partners, analysts, and data teams to define reporting needs and convert key questions into effective visual solutions<br>• Determine the best charting methods, layout approaches, and presentation techniques based on data structure and audience needs<br>• Integrate reporting and visualization platforms with enterprise data sources such as cloud environments, relational systems, APIs, and flat-file inputs<br>• Develop and refine data models, semantic structures, and calculated measures to support accurate and efficient reporting<br>• Apply strong visualization design standards with attention to usability, accessibility, formatting, color usage, and information flow<br>• Maintain consistent reporting practices by developing templates, style standards, and reusable visual components across the BI environment<br>• Improve dashboard responsiveness and scalability through query optimization, data design improvements, caching methods, and efficient loading strategies<br>• Partner with data engineers and modelers to identify data reliability concerns and ensure reporting is built on trusted, documented datasets<br>• Produce enablement materials such as documentation, user guides, training content, and repeatable templates to support self-service analytics adoption
Job Responsibilities Design, build, and maintain scalable ERP data pipelines for platforms such as Workday and enterprise systems Own end‑to‑end lifecycle of ERP data pipelines (ingestion → transformation → delivery) Support data conversion and migration initiatives (e.g., M&A, system integrations) Ensure pipeline reliability, recoverability, and stable production operations Troubleshoot pipeline failures and resolve root causes of data defects and operational issues Partner with business analysts and stakeholders to translate requirements into data solutions Implement and enforce SDLC best practices (version control, code reviews, CI/CD, release management) Develop and maintain data quality controls (freshness, completeness, anomaly detection, schema management) Detect and manage schema drift and downstream data issues proactively Build and maintain monitoring, alerting, and observability for data pipelines Optimize performance, scalability, and cost of data workloads Track operational KPIs (e.g., pipeline success rates, SLAs, incident trends, recovery times) Create runbooks, documentation, and audit‑ready operational processes Collaborate with data governance, security, and compliance teams on controls and data access Support analytics, reporting, and integration teams with reliable, well‑governed datasets Communicate effectively with technical and non‑technical stakeholders and escalate risks early
We are looking for an experienced Senior Data Engineer to strengthen our data ecosystem in Greenwich, Connecticut. This role will drive the development of reliable, scalable data pipelines, reporting capabilities, and platform enhancements that support critical business operations. The ideal candidate brings deep expertise in Microsoft-based data environments, strong SQL and ETL skills, and a practical approach to solving complex integration challenges.<br><br>Responsibilities:<br>• Build, enhance, and tune data pipelines, integration workflows, and core data platforms to support scalable and dependable information delivery.<br>• Translate business needs into technical solutions by partnering with internal teams and external vendors on data integration, reporting, and analytics initiatives.<br>• Create and implement automated processes that reduce manual effort, improve accuracy, and increase operational efficiency across data-related functions.<br>• Oversee production data jobs, investigate failures, resolve high-priority issues, and participate in after-hours support when needed.<br>• Produce technical design documents, process specifications, and operational documentation to promote consistency, maintainability, and knowledge sharing.<br>• Develop and deploy reporting and dashboard solutions that improve visibility into business performance while maintaining appropriate access controls and data security.<br>• Lead the ongoing improvement of database and integration performance, with attention to scalability, reliability, and long-term platform stability.<br>• Contribute to cloud-oriented data engineering efforts, including support for modernization initiatives involving services such as Azure-based platforms.<br>• Support application and data connectivity by implementing and maintaining API-based integrations where required.
We are looking for a Software Engineer / Data Engineer to build and enhance internal platforms that support research, analytics, and investment workflows in New York, New York. This role combines product-minded software development with data engineering, giving you the opportunity to create scalable applications, shape technical architecture, and improve how teams access and use information. You will work closely with analysts and data specialists to turn complex needs into reliable tools that streamline decision-making and expand internal AI capabilities.<br><br>Responsibilities:<br>• Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm.<br>• Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality.<br>• Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products.<br>• Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development.<br>• Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality.<br>• Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools.<br>• Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms.
We are looking for an experienced AI/Data Governance Analyst to support enterprise data strategy efforts in New York, New York. This Long-term Contract position will partner closely with leadership and cross-functional teams to strengthen data governance practices, improve data quality, and promote consistent standards across the organization. The ideal candidate brings a hands-on approach, strong communication skills, and a solid background working across multiple data domains in complex business environments.<br><br>Responsibilities:<br>• Partner with data strategy leadership to translate governance priorities into practical actions across business and technical teams.<br>• Work directly with stakeholders throughout the enterprise to reinforce adherence to established data policies, standards, and controls.<br>• Assess data quality issues, identify root causes, and help drive corrective actions that improve trust in key datasets.<br>• Support the development, maintenance, and adoption of governance frameworks, business rules, and data management practices.<br>• Collaborate with teams responsible for reporting, analytics, and operational systems to align data definitions and usage standards.<br>• Use tools such as SQL, BusinessObjects, and Erwin to analyze data structures, validate information, and document governance-related findings.<br>• Communicate recommendations, risks, and progress clearly through written materials and stakeholder discussions.<br>• Contribute as a senior hands-on analyst who can guide day-to-day governance execution and help coordinate efforts across multiple data domains.
<p>We are looking for a Business Analyst to join a growing SaaS company in Fairfield County, Connecticut and take a central role in finance and operational performance. This position blends day-to-day ownership of core financial activities with analytical support for leadership decisions, helping the business improve visibility, efficiency, and long-term scalability. The ideal candidate is comfortable working independently, partnering across teams, and translating financial and operational data into practical business insight.</p><p><br></p><p>Responsibilities:</p><p>• Direct end-to-end accounting activities, including payables, receivables, journal entries, reconciliations, and month-end close within the company’s financial systems.</p><p>• Administer recurring subscription billing, issue invoices, and ensure revenue is recorded accurately in alignment with applicable accounting standards.</p><p>• Monitor and communicate key SaaS performance indicators such as recurring revenue trends, customer churn, retention measures, and deferred revenue balances.</p><p>• Coordinate payroll processing, track cash position and operating runway, and support disciplined expense management in a fast-paced growth environment.</p><p>• Oversee sales tax requirements and work with external advisors to support filings, documentation, and audit readiness.</p><p>• Prepare monthly financial and operating reports for leadership, linking business results to overall company performance.</p><p>• Partner with company leaders to evaluate unit economics, business performance trends, and opportunities to strengthen profitability.</p><p>• Contribute to pricing decisions, contract review, and commercial analysis for enterprise customer agreements and vendor relationships.</p><p>• Identify and implement improvements to financial and operational tools, reporting processes, automations, and system integrations to support scale.Fairfiled</p>
<p>A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.</p><p><br></p><p><strong>Primary Responsibilities:</strong></p><ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul><p><br></p>