Business Analyst I

About the Role

Join a team of dedicated professionals providing services and operational support to award-winning hospitals. This role offers analytical and data enablement support across multiple business domains and data needs, managing concurrent projects and delivering data-driven insights to shape strategic business decisions.

Key Responsibilities

• Develop a working understanding of key business systems and data sources.
• Perform ETL-related activities: extract data from disparate systems, cleanse and transform it, and validate data quality.
• Produce actionable reports, forecasts, and analyses.
• Design and maintain BI dashboards and metrics to support operational and executive decision-making.
• Enable automation use cases by preparing and structuring data for repeatable workflows.
• Support advanced analytics initiatives by curating datasets suitable for machine learning and AI model consumption.
• Ensure consistent definitions, governance alignment, and documentation for data.
• Partner effectively with cross-functional teams and stakeholders.
• Translate business needs into data requirements.
• Present clear, well-supported recommendations, including proposing a course of action.

Requirements & Tech Stack

• Excel (pivot tables, lookups)
• Business intelligence tools such as Power BI or Qlik
• Proficient writing SQL queries (joins, aggregations, filters)
• Basic scripting experience in Python
• Familiarity with data quality practices

Qualifications

• Education
• Master’s degree in business analytics, engineering, mathematics, computer science, or related field required.
• Experience
• 0–2 years of experience (internship, co-op, or professional) in data analysis, reporting, business analysis, or related work preferred.
• Technical Skills
• Working knowledge of data analysis and reporting tools.
• Proficient writing SQL queries to extract and validate data from relational databases.
• Exposure to ETL concepts and practices: extracting data from business systems, cleaning/transforming data, validating results, and documenting assumptions/definitions.
• Basic scripting experience in Python for data cleaning, analysis, or automation tasks.
• Familiarity with data quality practices (reconciliation, exception checks, source-to-report validation) and maintaining consistent metrics/definitions.
• Analytical & Business Skills
• Ability to analyze complex problems, identify root causes, and recommend practical solutions supported by data.
• Ability to visualize data and communicate insights through dashboards, scorecards, and clear written summaries.
• Professional Skills
• Strong time management and prioritization skills; able to balance competing stakeholders’ needs, manage multiple concurrent requests, and deliver on deadlines.
• Strong written and verbal communication, critical thinking, and problem-solving skills.
• High degree of integrity, confidentiality, maturity, tact, and professional ethics.
• Able to collaborate effectively with cross-functional stakeholders.