Technical Business/Data Analyst

Technical Business/Data Analyst

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

Travel: None

Key Responsibilities:

• Business Analysis & Documentation

• Elicit, document, and validate business requirements through stakeholder engagement
• Develop business requirement documents (BRDs), use cases, and process flows
• Document current-state and future-state workflows
• Create, standardize, and maintain Standard Operating Procedures (SOPs) and operational documentation
• Support strategic initiatives by translating high-level goals into actionable documentation and processes

• 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
• 5-7+ 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)