The Opportunity
A leading financial services organization is seeking a Data Analyst Contractor to support a high-impact cybersecurity initiative within its Infrastructure and Application Security division. This is a unique opportunity to work alongside engineers, architects, and product teams to deliver data-driven insights that shape enterprise-wide security solutions.
Ideal candidates will be detail-oriented, technically strong in SQL and data modeling, and comfortable operating in a fast-paced, agile environment.
Key Responsibilities
1. Analyze and interpret data to support cybersecurity initiatives related to vulnerability, malware, and infrastructure configuration.
2. Gather requirements, perform gap analysis, and support data-driven decision making for engineering and product stakeholders.
3. Develop and maintain dashboards and visualizations using Tableau and/or Power BI.
4. Build and refine data pipelines and data flows, working across multiple source systems and databases.
5. Collaborate with product owners, engineers, and architects to ensure alignment between business goals and data strategy.
6. Support data governance, data quality, and lineage initiatives.
7. Translate technical concepts into clear, actionable insights for both technical and non-technical audiences.
8. Develop conceptual, logical, and physical data models in relational environments.
9. Contribute to agile ceremonies and work within Scrum or Kanban frameworks.
Required Skills and Experience
10. 8+ years of experience as a data or business analyst, preferably within enterprise environments.
11. Strong SQL expertise and comfort working across platforms such as Oracle and Postgres.
12. Proven ability to build interactive dashboards with Tableau and/or Power BI.
13. Deep understanding of data modeling concepts (dimensional, relational) and practical experience creating and managing data models.
14. Familiarity with data governance, lineage tracking, and data quality practices.
15. Experience documenting data flows and managing end-to-end source-to-target data mapping.
16. Hands-on experience with ETL tools (e.g., DBT, SnapLogic, or similar).
17. Experience working in Agile teams (Scrum/Kanban) and collaborating with cross-functional roles.
18. Strong communication skills and ability to translate technical data insights into business value.
19. Previous experience in the cybersecurity or risk domain is highly preferred.
Preferred Qualifications
20. Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
21. AWS certifications or exposure to cloud data platforms is a plus.
Why Apply
22. Collaborate on meaningful security initiatives in a data-driven culture
23. Work remotely or in a flexible hybrid model
24. Gain exposure to modern data tools and cloud environments
25. Join a high-performing, collaborative team committed to innovation and continuous improvement
#CplTechnology22