Data Analyst Jobs in Jersey City, NJ

Support data management and analytics for investment strategies by ensuring accuracy and integrity of portfolio data, performing reconciliations, automating end-to-end workflows, collaborating with technology and business stakeholders, and delivering recurring analytics and reports for sales, marketing, risk, and investment teams.

Create and edit WordPress pages, improve site UX and visual design, upload reports and maintain research database. Analyze and present website data from Google Analytics to inform communications strategy. Use basic graphic design tools (Photoshop, Canva), assist with virtual events (Zoom), and apply AI tools under human oversight. Maintain accuracy in names/titles/technical terms, act quickly on priorities, and collaborate with a diverse, largely remote team. Familiarity with AWS is a plus; occasional travel for events may be required.

Summer Analyst in Data & AI will design and build end-to-end data, analytics, and ML/AI solutions using cloud and modern tooling. Responsibilities include developing models and pipelines, running experiments tied to business KPIs, supporting data governance and compliance, creating dashboards, and collaborating in agile teams while receiving mentorship and training.

Manage market data service delivery and client projects, handle vendor and entitlement administration, contract negotiation, procurement, invoicing and exchange reporting, oversee inventory and leavers/joiners, identify cost savings, and coordinate with internal stakeholders to meet SLAs.

Design and maintain canonical data models and pipelines to inventory cryptographic assets and CBOM outputs. Build Power BI dashboards and semantic models, write complex SQL for analytics, ensure data quality and governance, and partner with security, IAM, PKI, and risk teams to support PQC readiness and enterprise risk reporting.

Support data center construction cost planning, forecasting, and controls across project lifecycles. Maintain program-level cost forecasts, prepare estimates and commercial risk assessments, compile benchmarking data, and coordinate with engineering and external cost consultants to optimize capital efficiency and inform location and deployment decisions.

Lead analytics projects and forecasting using Power BI, SQL, Python and DAX. Develop data models, resolve data quality issues, produce dashboards and management reporting, mentor junior analysts, collaborate with finance and stakeholders to deliver actionable insights, and drive continuous improvement and automation to support strategic decision-making.

Serve as the primary interface between Technology and business/product teams to elicit, document, and analyze requirements; create functional specifications and workflows; support SIT and UAT; maintain system documentation; participate in resource estimation and risk/control alignment.

Verify and maintain database master and control file metadata; identify, research, and resolve data errors; generate and respond to reports; document system files and reports; recommend improvements and coordinate modifications; learn legacy source systems and perform source-to-target data mapping to support analytic data lineage.

Lead compliance training reporting, oversight, and data management for U.S. Compliance. Develop and maintain reporting, dashboards, trackers and audit-ready documentation; validate and reconcile training data; advise business partners on regulatory training requirements; manage projects and remediation, and support regulatory readiness and program governance.

Leads business and data analysis for payment platforms including ACH, Wire, SWIFT, RTP/FedNow, and cross-border payments. Defines requirements, data mappings, architectures, testing strategies, and control frameworks while partnering with business, engineering, architecture, risk, and compliance teams. Uses Python, SQL, BI tools, and AI/ML platforms to generate insights, automate reporting, improve reconciliation, predict failures, and strengthen fraud and regulatory monitoring. Supports ISO 20022 modernization and intelligent, scalable payments operations.

Serve as product-owner/business analyst for actuarial data and tools within the Global Data Office. Translate actuarial requirements into data engineering specs, lead Agile ceremonies, manage product backlog and roadmaps, align stakeholders, and ensure data governance, lineage, testing, and quality for actuarial reporting, reserving, and pricing use cases.

Support privacy governance and regulatory compliance across the Americas by advising business units, managing privacy risk, conducting privacy impact assessments, maintaining records of processing activities, coordinating incident and forensic responses, developing policies and training, and working with Legal and Compliance to implement privacy controls for new technologies.

Senior Business Analyst in wealth management focused on data governance: define Key Data Elements, business rules, and data quality controls; profile and analyze data; validate lineage; translate business requirements into technical specs; lead UAT and testing; manage data quality monitoring and remediation; build cross-functional stakeholder relationships and advocate data-as-an-asset.

Support and improve the organization's data governance and GRC program by defining standards, documenting metadata and lineage, enforcing PII and retention policies, training stakeholders, monitoring data quality and compliance (CCPA), coordinating with security and engineering, conducting risk assessments and audits, automating processes with scripts, and managing incidents via ITSM systems.

Serve as the actuarial-focused business analyst and product owner in the Global Data Office. Translate actuarial requirements into data engineering specs, own roadmaps for actuarial data and tools, manage product backlog and agile ceremonies, and ensure data governance, quality, lineage, and stakeholder alignment.