Data Analyst Jobs in Jersey City, NJ

Leads enterprise data governance and regulatory technology programs involving data catalogs, lineage, entitlements, quality, metadata, and data contracts. Owns intake prioritization, roadmap delivery, agile coordination, executive governance reporting, audit-ready controls, and platform adoption. Partners with engineering teams and senior data leaders to advance data mesh, data product, self-service, and domain-driven ownership strategies.

Leads technical program delivery for AI, machine learning, and data platforms. Elicits and validates requirements, designs technical solutions, analyzes data, improves processes, identifies automation opportunities, manages risks and dependencies, and reports project status. Partners with product, business, operations, and engineering stakeholders, mentors analysts, supports UI improvements, and provides strategic guidance on complex initiatives.

Own data center OpEx and power planning, forecasting, budgeting, variance analysis, financial reporting, scenario modeling, and cost optimization. Build complex operational and financial models, develop dashboards, and provide actionable insights to executive leadership. Partner cross-functionally with data center operations, capacity planning, power and sustainability, and sales teams to support strategic decisions and business growth.

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.

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.

Build and maintain data pipelines from manufacturing and business systems into reporting datasets. Manage data lineage, quality, validation, reconciliation, governance, and SOX-compliant controls. Partner with IT, Finance, Operations, Supply Chain, and other teams to resolve data issues and define business metrics. Use Python, pandas, SQL, Git, and Jira to deliver reliable business intelligence solutions and support dashboards and reports.

Supports financial risk data governance across market, interest rate, credit, and liquidity risk. Responsibilities include defining data meaning and ownership, documenting business rules and controls, identifying data quality issues, supporting remediation, clarifying processes, and preparing concise updates for stakeholders and leadership. The role requires strong communication, organization, attention to detail, and banking risk experience, but does not involve development, coding, advanced SQL, or dashboard creation.

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.

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.

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.

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.

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.

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.