Technical Business / Data Analyst

Technical Business / Data Analyst

Location: Albany, NY- Hybrid – Resource is expected to be Onsite 2 days per week. Duration: 12+ Months- Long term

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).