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Job Title: Data Analyst
Location: Charlotte, North Carolina
Duration: 12+ Months – Contract
Pay Rate: $50/hr - $52/hr
Experience Level: 8+ Years (required)
Industry: BFSI (Highly Preferred)
Emp Type: W2 Candidates Only.
Job Description:
We are seeking a skilled mid-level Data Analyst with 8–10 years of experience to support the Cyber Data Operations team within ISDAD. The ideal candidate will analyze and validate data from multiple upstream systems, create technical requirements, and support data integration into the Cyber Data Warehouse (CyberDW).
This role requires strong expertise in SQL, Python, APIs, and Power BI visualization, along with the ability to collaborate with stakeholders and data teams in a fast-paced enterprise environment.
Key Responsibilities:
- Gather, analyze, validate, and cleanse data from databases, APIs, spreadsheets, and internal systems.
- Work with stakeholders and development teams to understand data sources and business requirements.
- Create technical and functional data requirements and support data mapping activities.
- Develop SQL queries for data extraction, analysis, and reporting.
- Utilize Python for data analysis and automation tasks.
- Support API-based data integration and validation processes.
- Build dashboards and reports using Microsoft Power BI.
- Identify data quality issues, trends, and improvement opportunities.
- Collaborate with cross-functional teams to support enterprise data initiatives.
- 8–10 years of experience as a Data Analyst or in a similar analytics-focused role.
- Strong hands-on experience with SQL and relational databases.
- Strong proficiency in Python for data analysis, scripting, and automation.
- Experience working with APIs, including data extraction, integration, and validation.
- Strong experience building dashboards and visualizations using Microsoft Power BI.
- Advanced proficiency in Microsoft Excel and data analysis techniques.
- Strong understanding of data validation, data mapping, data transformation, and data quality processes.
- Experience gathering business requirements and translating them into technical specifications.
- Excellent analytical, problem-solving, and organizational skills.
- Strong communication skills with the ability to work effectively across business and technical teams.
- Strong attention to detail and ability to interpret data within a business and operational context.
- Experience with cybersecurity, enterprise data warehouse, or data operations environments.
- Familiarity with Agile methodologies and tools like Tableau is a plus.
