Data Analyst at Sage Infusion

Tampa, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, Analytics, Data Science, Data Engineering, SQL, Data Warehouse, ETL, Pipeline Orchestration, Data Modeling, Looker, PowerBI, Tableau, Mode, Data Integrity, QA, Communication

Industry

Hospitals and Health Care

Description

Description Sage Infusion is seeking a Data Analyst to join our Strategic Analytics team. This role reports to the Director of Strategic Analytics and focuses on building, scaling, and maintaining data solutions that support internal operational reporting, external partnership requirements, and holistic data warehouse initiatives. You will partner closely with Strategic Analytics, Operations, Business Development, and vendor and development teams to ensure accurate, timely, and consistent delivery of data and insights to internal and external partners. This is a unique opportunity to join a fast-paced healthcare startup at the intersection of data, operations, and business strategy. Your work directly contributes to the success of new and innovative healthcare initiatives that align payer, provider, and patient incentives as we reimagine patient care. This role also offers the opportunity to progressively own more of our data infrastructure as the team and tooling mature. Note: This is not a remote role and candidates are expected to be available to work from the St. Petersburg corporate office. You Will Support the design, development, and maintenance of business intelligence pipelines, dashboards, and reporting assets used for data insights and reporting. Respond to priority ad-hoc reporting requests by gathering data and ensuring accuracy under time-sensitive deadlines. Work with Strategic Analytics, Operations, Business Development, and vendor and development partners to translate new initiative and reporting requirements into clear data deliverables. Provide analysis and context on summarized reporting data, flagging potential opportunities or trends to senior leadership. Drive data warehouse process improvements by identifying efficiencies and partnering with Data Warehouse developer to implement new data integrations. Aid in maintaining data integrity and auditability by contributing to documentation, data validation, and QA steps for reporting. Collaborate with business partners to develop reporting requirements for newly developed software and provide quality assurance of reports in advance of deployment. Communicate progress and findings with team leads and cross-functional partners in a clear and timely manner. Requirements You Have 4+ years of experience in Business Intelligence, Analytics, Data Science, or Data Engineering Expertise in BI/visualization tools (Looker, PowerBI, Tableau, Mode, etc.) Solid experience with SQL, large-scale data sets, and cloud data warehouse concepts (data modeling, ETL, pipeline orchestration, etc.) Experience working with cross-functional teams such as Operations and Business Development Excellent written and verbal communication skills, with ability to explain complex data clearly Nice To Have Background in healthcare analytics, clinical reporting, or related industries Experience with cloud data warehouse technical infrastructure and development (Snowflake, AWS, GCP, dbt, etc.) Experience with Python for analysis and automation Knowledge of supporting operational systems such as CRM and EMR systems, particularly HubSpot and WeInfuse Familiarity with HITECH, HIPAA, and PHI management best practices Background Screening Requirement This position requires background screening through the Care Provider Background Screening Clearinghouse. For more information, visit: https://info.flclearinghouse.com

Responsibilities

The Data Analyst will support the design, development, and maintenance of business intelligence pipelines, dashboards, and reporting assets while responding to priority ad-hoc reporting requests under time-sensitive deadlines. This role also involves driving data warehouse process improvements and collaborating with cross-functional teams to translate requirements into clear data deliverables.