Data Analyst

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Data Analyst

• Location: Albany, New York 12243
• Employment type: W-2 Hourly
• Work model: On-site
• Posted May 6, 2026
• Job ID: JPC - 203671

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Job Description

Location: Albany, NY - Hybrid - Resource is expected to be onsite 2 days per week

Key Responsibilities:

• Data Analysis & SQL Development

• Write, optimize, and maintain SQL queries for reporting and analysis

• Collect, clean, and analyze structured and unstructured data

• Perform data validation, reconciliation, and quality assurance

• Develop reports, dashboards, and visualizations using tools such as Excel or Tableau

• Translate analytical findings into business insights and requirements

• Document analytical approaches, assumptions, data sources, logic, and analytical methodologies

• Support both technical and non-technical stakeholders in understanding data outputs

• Align business needs with data solutions and reporting capabilities

Required Qualifications:

• Bachelor's degree in Business, Information Systems, Data Analytics, Public Administration, or related field

• 3-7+ years of relevant experience in business analysis, data analysis, or related roles

• Strong analytical, problem-solving, and critical thinking skills

• Experience gathering and documenting requirements and processes

• Proficiency in SQL and data analysis tools (e.g., Excel, Power BI, Tableau)

• Excellent written and verbal communication skills

• Ability to manage multiple priorities in a client-facing environment

Preferred Qualifications:

• Experience working in healthcare, pharmacy programs, Medicaid, Long-Term Care (LTC), or EVV environments
• Experience developing SOPs and operational documentation
• Knowledge of data governance, data modeling, or ETL processes
• Relevant certifications (CBAP, PMI-PBA, PMP, or data analytics certifications)

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Job details

Job ID JPC - 203671

Location Albany, New York, United States

Work Model On-site

Employment Type W-2 Hourly

Experience 3-7 years

Pay Rate $107 - $117 (Hourly)

Posted May 6, 2026

Skills Business Analysis data analysis

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