Healthcare Data Analytics & BI Manager

Casa Esperanza, Inc. (Boston); Malden (MA); Hybrid; USD 85,000 - 90,000; Full time

Benefits offered by this job

Health Insurance

401(k)

Paid holidays

PTO

Job summary

Casa Esperanza, Inc. is seeking a Data Analytics & Business Intelligence Manager to lead the design, development, and governance of enterprise data systems and BI solutions.

You will work across clinical, operational, financial, and administrative data to support leadership decisions and regulatory compliance. The role requires expertise in data warehousing, SQL, and reporting tools, with strong collaboration across departments, vendors, and researchers.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Intelligence, Information Technology, or a related field is required.
• Master's degree preferred.
• Minimum of five (5) years of experience designing, developing, and managing databases, data warehouses, and BI environments.
• Minimum of five (5) years of advanced SQL development experience.
• Experience with Crystal Reports or comparable enterprise reporting solutions.

Responsibilities

• Design, develop, and manage enterprise data warehouse, data architecture, data mining, data cleansing, and data pipelines.
• Ensure data integrity, security, and governance across reporting environments.
• Develop interactive dashboards and data visualizations for operational decision-making.
• Translate raw EHR data into structured, analysis-ready datasets for research and evaluation.
• Collaborate with leadership and program teams to support strategic decisions.

Skills

SQL

Power BI

Crystal Reports

Data warehousing

ETL

Data governance

Data modeling

Analytics

Education

Bachelor's degree

Master's degree

Tools

Netsmart myEvolv

REDCap

Job description

Casa Esperanza, Inc. is seeking a Data Analytics & Business Intelligence Manager to lead the design, development, and governance of enterprise data systems and BI solutions.

You will work across clinical, operational, financial, and administrative data to support leadership decisions and regulatory compliance. The role requires expertise in data warehousing, SQL, and reporting tools, with strong collaboration across departments, vendors, and researchers.