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5 results for Head Data Science Analytics Dtc Exp Required in Fort Lee, NJ

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

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

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

Lead Business Intelligence Analyst

Florham Park, NJ
onsite
Permanent / Full Time
140000 - 175000 USD / Yearly
This role is responsible for data aggregation, data quality, reporting, and trend analysis to evaluate program and pharmacy performance. The individual must be skilled in querying and analyzing data, while also supporting end users in interpreting and visualizing insights. Success in this role requires translating business needs into technical solutions that drive accurate and actionable reporting. Key Responsibilities<ul><li>Translate business requirements into technical specifications to support data analysis and visualization</li><li>Develop a strong understanding of stakeholder objectives to create clear, impactful dashboards and reports</li><li>Write SQL queries and generate reports by extracting accurate data from multiple databases</li><li>Design and build interactive dashboards and reports using Power BI</li><li>Analyze data to identify trends, optimize processes, and deliver timely insights</li><li>Evaluate datasets for accuracy, completeness, and scope; explain anomalies or inconsistencies</li><li>Support pharmaceutical manufacturer clients with data requests, reporting, and insights</li><li>Aggregate data from multiple sources to support reporting needs</li><li>Investigate and resolve data discrepancies using SQL or statistical analysis tools</li><li>Manage daily reporting and trend analysis for multiple programs</li><li>Ensure reports meet program requirements and are delivered accurately and on time</li><li>Collaborate effectively with cross-functional teams to achieve shared objectives</li><li>Develop reporting solutions by assessing information needs, consulting with users, analyzing workflows, and following the software development lifecycle</li><li>Maintain compliance with all applicable healthcare data privacy regulations, including HIPAA</li></ul>Performance CriteriaPerformance is measured by the accuracy, quality, and timeliness of reporting, as well as effective communication with internal teams and external stakeholders. Meeting performance targets across assigned programs is essential.
2026-07-09T00:00:00Z

Software Business Analyst (Healthcare or Pharmacy Exp Req)

Florham Park, NJ
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are seeking an experienced Senior Software Business Analyst to support the delivery of business-critical software solutions. This role will serve as a key liaison between business stakeholders and technical teams, ensuring business needs are clearly defined, analyzed, and translated into effective functional requirements. The ideal candidate will have strong analytical capabilities, experience working within software development environments, and the ability to drive projects forward while balancing multiple priorities. This position will work closely with cross-functional stakeholders, including development and QA teams, to support project execution, monitor progress, communicate status updates, and identify risks or issues that may impact delivery. This role also includes mentoring entry level analysts and contributing to process improvements that enhance operational efficiency and business value. Key Responsibilities: Gather, analyze, and translate business requirements into functional specifications for new and existing systems Conduct gap analyses between current system capabilities and evolving business needs Create documentation such as workflow diagrams, flowcharts, wireframes, and use cases to support development and testing efforts Partner with technical teams to review requirements, assess project scope, and identify impacted systems Evaluate proposed solutions for practicality, scalability, and ease of implementation Develop a strong understanding of internal platforms and system functionality Analyze current processes, identify inefficiencies, and recommend process improvement opportunities Coordinate regularly with development teams to track progress and resolve roadblocks Communicate project status, updates, and timelines to business stakeholders Identify project risks and escalate issues as appropriate Continuously recommend enhancements to improve system usability and operational efficiency Ensure compliance with applicable healthcare privacy and regulatory requirements, including HIPAA
2026-07-09T00:00:00Z