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7 results for Data Architect in Queens, NY

Data Analyst

Morristown, NJ
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Data Analyst to join a healthcare organization in Morristown, New Jersey. This Long-term Contract position will focus on shaping scalable data structures that support analytics, reporting, and enterprise data initiatives. The role works closely with technical and business teams to turn complex information needs into well-organized, high-performing data solutions. This opportunity is ideal for someone who is detail oriented, brings strong data modeling expertise, and can contribute in a regulated environment. Responsibilities: • Create and refine conceptual, logical, and physical data models across relational, dimensional, and non-relational platforms. • Produce and maintain entity relationship diagrams, data flow artifacts, and supporting documentation that align with organizational standards. • Work alongside engineers, architects, and analysts to ensure data designs enable reliable ingestion, transformation, and reporting processes. • Convert business needs into efficient database structures that support performance, scalability, and long-term usability. • Review model designs for consistency and quality while promoting sound modeling practices across the team. • Maintain metadata, business definitions, lineage details, and data dictionaries to improve transparency and governance. • Support warehouse and mart design by developing schemas suited for analytics and downstream reporting needs. • Investigate and address issues related to data integrity, duplication, and quality through thoughtful structural design. • Contribute to governance and cataloging efforts that improve standardization and enterprise data management. • Deliver modeling outputs within an Agile framework, partnering with teams through iterative sprint cycles.
2026-05-18T00:00:00Z

Data Analyst

Somerset, NJ
onsite
Temporary to Hire
45.6 - 52.8 USD / Hourly
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy. Responsibilities: • Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk. • Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions. • Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts. • Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure. • Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources. • Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
2026-05-18T00:00:00Z

Data Specialist

Old Bridge, NJ
onsite
Permanent / Full Time
45000 - 55000 USD / Yearly
Benefits:<ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul>Responsibilities<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>
2026-05-29T00:00:00Z

Data Analyst Basic (1-3 years)

Brooklyn, NY
onsite
Temporary / Contract
27 - 28 USD / Hourly
We are looking for a detail-oriented Data Analyst to support business analysis initiatives in Manhattan, New York. This Long-term Contract position focuses on transforming project needs into tailored data outputs, delivering clear insights that help project managers make informed decisions. The role also involves evaluating operational workflows, identifying meaningful data points, and using technical tools such as Snowflake and regular expressions to improve reporting accuracy and efficiency. Responsibilities:• Develop customized data reports based on project specifications and business needs.• Manage the full data reporting lifecycle, from gathering requirements through final delivery of actionable outputs.• Extract, validate, and organize key information to support project managers in planning and decision-making.• Review business processes to identify opportunities where data analysis can improve performance and visibility.• Create and maintain regular expression rules to structure, classify, or filter data effectively.• Write and execute Snowflake queries to retrieve, analyze, and prepare datasets for reporting purposes.• Ensure data results are accurate, consistent, and presented in formats aligned with stakeholder expectations.
2026-05-26T00:00:00Z

Senior Data Engineer

Greenwich, CT
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
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. Responsibilities: • Build, enhance, and tune data pipelines, integration workflows, and core data platforms to support scalable and dependable information delivery. • Translate business needs into technical solutions by partnering with internal teams and external vendors on data integration, reporting, and analytics initiatives. • Create and implement automated processes that reduce manual effort, improve accuracy, and increase operational efficiency across data-related functions. • Oversee production data jobs, investigate failures, resolve high-priority issues, and participate in after-hours support when needed. • Produce technical design documents, process specifications, and operational documentation to promote consistency, maintainability, and knowledge sharing. • Develop and deploy reporting and dashboard solutions that improve visibility into business performance while maintaining appropriate access controls and data security. • Lead the ongoing improvement of database and integration performance, with attention to scalability, reliability, and long-term platform stability. • Contribute to cloud-oriented data engineering efforts, including support for modernization initiatives involving services such as Azure-based platforms. • Support application and data connectivity by implementing and maintaining API-based integrations where required.
2026-05-27T00:00:00Z

Cloud Engineer

Stamford, CT
onsite
Temporary / Contract
67 - 76 USD / Hourly
We are looking for a Cloud Engineer to support and enhance enterprise cloud operations in Stamford, Connecticut. This Long-term Contract position is ideal for someone who can build reliable Azure environments, improve infrastructure automation, and help maintain secure, highly available platforms. The role will work closely with engineering and security partners to deliver scalable cloud solutions and strengthen operational performance. Responsibilities: • Build, configure, and sustain Azure infrastructure through Infrastructure as Code practices using Terraform. • Manage the full lifecycle of Azure resources, including subscriptions, networking, storage, compute, and core platform services. • Develop and support cloud network architecture across virtual networks, security groups, firewalls, load balancing, and hybrid connectivity components. • Provision and administer Azure compute services such as virtual machines, scale sets, and managed platform offerings. • Connect infrastructure deployments with CI/CD workflows to enable consistent automation for releases and environment updates. • Administer identity and access controls with Microsoft Entra ID, managed identities, and conditional access policies. • Monitor platform health, respond to alerts, and drive preventive actions to improve resilience and service uptime. • Implement recovery strategies by supporting backup, disaster recovery, and business continuity capabilities within Azure. • Collaborate with security stakeholders to apply cloud governance standards, risk controls, and compliance-focused configurations. • Investigate complex cloud issues, document findings, maintain operational runbooks, and contribute to cost and capacity optimization efforts.
2026-05-19T00:00:00Z

Head of Data Science & Analytics (DTC Exp Required)

Fort Lee, NJ
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
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. Primary Responsibilities:<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>
2026-05-22T00:00:00Z