Data Analyst - (Hybrid Onsite - Jersey City NJ)

We are currently looking to hire a [ Data Analyst ] and we believe your skills and expertise are a better match for this role. We have an exciting career opportunity for you with one of our esteemed clients at Jersey City NJ

NJTECH is a globally managed IT services, IT consulting and business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. We play a major role in helping our clients to achieve their objectives at the highest level; ultimately creating sustainable value to customers.

Sorry we are not able to sponsor Visa as of now, looking for Independent consultants

Role: Data Analyst

Location: Hybrid Onsite - Jersey City NJ

Duration: Long-term

Key Responsibilities:

• Act as a Subject Matter Expert (SME) for Master Data Management (MDM) initiatives across Security Master, Account, Client, Benchmark, and related financial data domains.
• Analyze, profile, and document enterprise data flows, business rules, and data lineage across financial systems and data platforms.
• Contribute to the development and execution of the organization s data strategy, aligning data initiatives with business goals.
• Support enterprise MDM implementation and modernization initiatives involving legacy and cloud-native data platforms.
• Support the implementation of scalable data architecture and frameworks to enable advanced analytics and reporting.
• Perform detailed data analysis, data mapping, source-to-target mapping, and reconciliation activities across multiple financial data sources.
• Collaborate with data architects, data engineers, governance teams, and business stakeholders to define and manage enterprise master and reference data standards.
• Support integration of MDM platforms and legacy financial systems into enterprise data lake, warehouse, and cloud data ecosystems.
• Develop strong familiarity with enterprise financial datasets and serve as a trusted data SME for downstream analytics, operational, and reporting teams.
• Work with market data providers, internal operational systems, accounting platforms, and external reference data feeds to ensure data consistency and accuracy.
• Support data quality initiatives including validation, issue analysis, exception management, and governance processes.
• Partner with engineering and platform teams supporting cloud-based data platforms and modern data architecture initiatives.
• Assist in defining data governance standards, metadata management, lineage tracking, and operational data controls.
• Support enterprise reporting, analytics, risk, compliance, and operational data initiatives.

Required Skills & Experience:

• 5 6 years of experience in data analysis, data engineering, or a related technical role.
• Strong experience in Master Data Management (MDM) and enterprise data analysis.
• Drive initiatives around data standardization, metadata management, and data cataloging.
• Expertise with financial master and reference data domains including Security Master, Account, Benchmark, Client, and related financial datasets.
• Experience with MDM platforms such as GoldenSource or similar enterprise MDM solutions.
• Strong understanding of financial services data ecosystems and operational data flows.
• Experience with fund accounting, wealth management, custody, investment operations, or related financial platforms.
• Understanding data modeling, data warehousing, and data integration concepts.
• Familiarity with market data providers, reference data feeds, and financial instrument data structures.
• Experience performing data mapping, source-to-target analysis, reconciliation, and data lineage documentation.
• Strong SQL and data analysis skills with the ability to analyze large and complex datasets.
• Understanding of enterprise data warehouse, data lake, and modern cloud data platform architectures.
• Familiarity with cloud-based data platforms and technologies including Databricks, Spark, and distributed data environments.
• Experience collaborating with data engineering, architecture, governance, and analytics teams.

NJTECH is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

NJTECH is a globally managed IT service, IT consulting and Business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. Our offshore consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value to customers. Come, transform your career with us and be a part of our high-performing team.