Data Analyst

Data Analyst – Data Management & Governance

📍 Location: New York, NY (Hybrid)

💰 Rate: $60-70/hr on W-2 (No C2C)

⏳ Duration: Long-term

Position Overview:

We are seeking a Data Analyst to support data management and governance initiatives by analyzing and integrating data from multiple sources. The ideal candidate will have experience in data quality initiatives, data mining, SQL, and business intelligence reporting. This role requires a strong analytical mindset and the ability to consult with business stakeholders to document requirements and provide strategic insights.

Key Responsibilities:

✅ Data Analysis & Strategy:

• Support short- and long-term data management initiatives through in-depth data analysis.
• Perform data mining on large datasets to improve data quality and integrity.
• Develop and recommend business solutions through research, data interpretation, and reporting.

✅ Data Integration & Governance:

• Create datasets from disparate sources to support data management initiatives.
• Implement data management lifecycle toolsets and support master/reference data programs.
• Apply data governance best practices to improve data processes and quality.

✅ Stakeholder Engagement & Reporting:

• Collaborate with business stakeholders to gather and document requirements.
• Present data-driven insights and reports for business review and strategic planning.
• Use SQL and relational database expertise to extract, transform, and analyze data.

✅ Process Improvement & Project Management:

• Utilize project management methodologies such as Scrum, Kanban, Waterfall, or SAFe.
• Work with project management tools like JIRA, Confluence, Microsoft Project, Asana, Monday.com, Trello, or SmartSheet.
• Expand and improve existing processes using creativity and process improvement skills.

Qualifications & Experience:

🔹 4+ years of experience as a Data Analyst within data management or data governance initiatives.

🔹 Bachelor’s degree in Information Science, Computer Science, or a related field.

🔹 Strong experience in relational databases, SQL, and database structures.

🔹 Knowledge of data governance best practices and data lifecycle management.

🔹 Experience in data integration, data mining, and business intelligence reporting.

🔹 Nice to have: Experience with statistical analysis tools (SAS, SPSS, or R).