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5 results for Cloud Computing Analyst in Brooklyn, NY

Data Scientist

New York, NY
onsite
Permanent / Full Time
200000 - 225000 USD / Yearly
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. Responsibilities: • Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows. • Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process. • Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses. • Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments. • Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time. • Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use.
2026-06-16T00:00:00Z

HRIS Analyst

Toms River, NJ
onsite
Permanent / Full Time
60000 - 70000 USD / Yearly
We are looking for an HRIS Analyst to support and enhance core people systems for a growing healthcare organization in Toms River, New Jersey. This position plays a key role in keeping HR, payroll, and timekeeping platforms running smoothly while helping internal teams solve issues efficiently. The ideal candidate brings strong analytical ability, attention to detail, and the confidence to work across departments to improve system performance and data reliability. Responsibilities: • Deliver day-to-day support for HR, payroll, and workforce management applications, including assistance with timekeeping devices and user issues. • Maintain system settings by updating access levels, pay configurations, and other platform controls to align with business needs. • Oversee incoming support requests through the ticketing process, ensuring timely follow-up and resolution. • Review integrations, recurring system tasks, and data movement between platforms to detect problems and address them proactively. • Contribute to workflow enhancements and automation efforts that improve accuracy, efficiency, and user experience. • Prepare, audit, and validate HR and payroll reports to confirm data integrity and support operational decision-making. • Collaborate with HR, Payroll, IT, and other business partners to investigate and resolve application-related concerns. • Create and maintain clear documentation for procedures, troubleshooting steps, and system workflows. • Support technical processes related to connected platforms and integration tools, including solutions such as Dell Boomi when applicable.
2026-07-09T00:00:00Z

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.
2026-06-23T00:00:00Z

Cybersecurity Operations Manager

Shrewsbury, NJ
remote
Temporary / Contract
80 - 125 USD / Hourly
Manager, Cybersecurity OperationsOverviewWe are seeking an experienced Manager of Cybersecurity Operations to lead and optimize enterprise security monitoring, incident response, and threat management capabilities. This individual will serve as the primary liaison between internal technology teams and an outsourced Security Operations Center (SOC) partner, ensuring the delivery of effective, scalable, and business-aligned cybersecurity services.The ideal candidate will combine strong technical security expertise with leadership, vendor management, incident response coordination, and continuous improvement of security operations programs. This is a remote, contract-to-hire position for an industry-leader in New Jersey. Key Responsibilities<ul><li>Manage the relationship with a third-party Security Operations Center (SOC) and security services providers.</li><li>Oversee daily cybersecurity operations, monitoring service delivery, alert handling, investigations, and operational performance.</li><li>Establish, track, and continuously improve security service metrics, KPIs, and SLA performance.</li><li>Lead recurring operational and strategic reviews with security partners and internal stakeholders.</li><li>Coordinate incident response activities across internal teams and external providers during cybersecurity events.</li><li>Develop and enhance incident response procedures, playbooks, and operational workflows.</li><li>Collaborate with security partners to improve threat detection, monitoring effectiveness, and response capabilities.</li><li>Drive threat hunting initiatives leveraging industry frameworks, threat intelligence, and emerging attack trends.</li><li>Support cybersecurity readiness through tabletop exercises, simulations, and operational testing.</li><li>Manage integrations between security technologies, monitoring platforms, automation tools, and service management systems.</li><li>Evaluate and optimize security operations technologies, including SIEM, SOAR, endpoint security, and vulnerability management solutions.</li><li>Partner with risk, compliance, and technology teams to ensure alignment with industry security standards and regulatory requirements.</li><li>Support third-party risk assessments and vendor security reviews.</li><li>Develop executive-level reporting and dashboards related to security operations performance, incident trends, and organizational risk.</li><li>Translate technical cybersecurity findings into actionable business recommendations for senior leadership.</li><li>Lead, mentor, and develop cybersecurity personnel while fostering a culture of continuous learning and improvement.</li><li>Contribute to special projects and strategic cybersecurity initiatives as needed.</li></ul>
2026-07-09T00:00:00Z

Workday Data Engineer

New York, NY
onsite
Temporary to Hire
65 - 135 USD / Hourly
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
2026-07-08T00:00:00Z