5-7 years of experience in data analysis or a related role, preferably at a senior level.
Proven ability to cleanse, validate, and organize data from various sources.
Experience in gathering requirements and translating them into technical specifications.
Advanced Excel skills and experience with business data analysis.
Familiarity with BI tools like Tableau or Power BI.
SQL and relational database knowledge is highly desirable.
Experience in cybersecurity, governance, risk, and compliance data is strongly preferred.
Responsibilities
Gather and cleanse data from enterprise applications and reports.
Collaborate with stakeholders to translate business needs into data requirements.
Support the preparation of cybersecurity data for a data warehouse.
Analyze datasets for trends and business insights.
Work with data development teams to enhance data quality.
Assist in reporting and visualization using Excel and BI tools.
Contribute to GRC data projects and automation of controls-testing processes.
Benefits
Hybrid work opportunity based in Jersey City, NJ.
Engagement as W2 only (no C2C/1099).
Direct collaboration with cybersecurity and data engineering teams.
Exposure to enterprise-level cybersecurity data initiatives.
Opportunity to travel to NYC for stakeholder meetings.
Full Job Description
Job Description Be Part Of A High-Performing Team
Join the cybersecurity data organization of a major global financial institution supporting enterprise governance, risk, and compliance initiatives. This team works at the intersection of cyber risk, data management, and technology, helping transform information from multiple enterprise systems into reliable data that supports security governance and decision-making. The environment requires close collaboration among business stakeholders, cybersecurity teams, and data engineering professionals.
What's In Store For You
Engagement: W2 only (no C2C/1099)
Hybrid opportunity based in Jersey City, NJ
Work directly with cybersecurity, GRC, and data engineering stakeholders on enterprise-level initiatives.
Gain exposure to cybersecurity data warehouse initiatives and the data supporting governance, risk, compliance, and controls programs.
Candidates should be comfortable traveling to a New York City office for stakeholder meetings when needed.
How You Will Make An Impact
Gather, organize, assess, and cleanse data originating from enterprise applications, spreadsheets, reports, and upstream source systems.
Partner with business and technical stakeholders to understand source data and translate business needs into clear technical and data requirements.
Support the ingestion and preparation of cybersecurity and GRC information for an enterprise cyber data warehouse.
Analyze datasets for trends, patterns, inconsistencies, and business-relevant insights.
Work closely with data development teams to improve data quality and ensure information is accurately represented downstream.
Support reporting and visualization needs using Excel and business intelligence tools.
Contribute to projects involving GRC data, controls testing, and potential automation of controls-testing processes.
Requirements
Do you bring proven success in data analysis, requirements gathering, and enterprise data quality?
Bring substantial professional experience in data analysis or a closely related data-focused role; senior-level experience is preferred.
Strong ability to investigate, cleanse, validate, reconcile, and organize data from multiple upstream sources.
Experience gathering requirements and translating stakeholder needs into actionable technical or data requirements.
Advanced proficiency with Excel and experience analyzing business data.
Familiarity with business intelligence and visualization tools such as Tableau, Power BI, or comparable platforms.
SQL and relational database experience is highly valuable.
Python experience is a plus.
Cybersecurity, governance, risk, and compliance data experience is strongly preferred.
Exposure to controls testing or automation of controls-testing activities is an additional advantage.
Strong attention to detail with the ability to recognize patterns, discrepancies, and data-quality issues.
Effective communication skills with the ability to work across technical development teams and business stakeholders.
