Senior Data Analyst – Cyber Data Operations #3566006 (Jersey City, NJ)
Summary
Senior Data Analyst on a cybersecurity data operations team at a large financial services organization in Jersey City, NJ (W2 contract): validating and cleansing upstream data, documenting requirements for a Cyber Data Warehouse, and surfacing insights with SQL, Excel, and BI tools like Tableau/Power BI.
Be Part Of A High-Performing Team:
Join a globally recognized financial services organization operating at the forefront of banking, technology, and data innovation. The team supports critical cybersecurity and data operations initiatives, ensuring high-quality, reliable data flows into enterprise data warehouses. Known for a disciplined, analytical culture, this group emphasizes precision, collaboration, and continuous improvement. You’ll work alongside experienced data professionals and stakeholders across business and technology functions in a fast-paced, high-impact environment.
What’s In Store For You:
- Engagement: W2 only (no C2C/1099)
- Opportunity to contribute to enterprise-level cybersecurity data initiatives
- Exposure to cross-functional collaboration with business stakeholders and technical teams
- Experience working within a structured, high-performing financial services environment
How You Will Make An Impact:
- Analyze and validate data from multiple upstream systems to ensure accuracy and consistency
- Define and document technical data requirements for ingestion into the Cyber Data Warehouse (CyberDW)
- Partner with stakeholders to understand data sources, business needs, and reporting requirements
- Perform data cleansing, transformation, and quality checks to support reliable analytics
- Identify trends, patterns, and insights using Excel and BI tools to support decision-making
- Collaborate with data engineering and development teams to improve data pipelines and processes
Are you an experienced data analytics professional ready to make an impact in cybersecurity data operations?
- 10+ years of experience in data analysis, preferably in enterprise or financial services environments
- Strong proficiency in Excel and experience with BI tools (Tableau, Power BI, or similar)
- Hands-on experience with SQL and relational databases
- Exposure to Python for data analysis or automation is a plus
- Experience gathering and translating business requirements into technical specifications
- Strong attention to detail with a focus on data accuracy and integrity
- Ability to communicate effectively with both technical and non-technical stakeholders
- Experience working in cross-functional teams and fast-paced environments