Top Remote Analysis Reporting Jobs in Tampa, FL

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

Partner with business teams to scope and execute analyses, generate actionable insights from large healthcare datasets, build dashboards and models, present findings to leadership, own stakeholder relationships for a major business unit, and monitor impact of improvement initiatives.

You will analyze data, support business teams with insights, enhance dashboards, and manage stakeholder relationships to improve operational efficiency.

Partner with business teams to scope, run, and present analytical projects that monitor financial and utilization metrics. Own insights generation for a major business unit, build dashboards and models to surface healthcare inefficiencies, maintain stakeholder relationships, and support strategic projects to drive improvements and measure impact.

Build and maintain Azure-based data pipelines, data lake environments, ETL/ELT workflows, Databricks and Python scripts, SQL solutions, data models, quality controls, and Power BI datasets and reports. Collaborate with stakeholders to deliver scalable, secure, governed data solutions, optimize performance and costs, support legacy-system migration, and identify process automation opportunities.

Lead and scale a distributed data engineering organization: design and maintain cloud-native data infrastructure, build ETL/ELT pipelines and event streams, ensure data quality and observability, deliver dashboards and analytics tools, partner with product and business stakeholders, and manage analytics project prioritization and team performance.

Leads enterprise data strategy, governance, quality, reporting, and information systems for healthcare and PBM business units. Manages development and reporting teams, owns the data roadmap, serves as product owner, and partners with corporate and client IT teams. Oversees data platforms, AWS infrastructure, SQL databases, security assessments, compliance, issue resolution, and strategic data initiatives while promoting data-driven decision-making and standardized data practices.

Collect, clean, validate, and analyze operational data from multiple systems for customer reporting and business insights. Perform SQL-based processing and data uploads, identify data inconsistencies, maintain reliable datasets, document procedures, and develop standardized workflows. Support dashboards, reporting tools, process improvement, and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Support data collection, analysis, and reporting for a government care program. Develop data collection tools, identify performance indicators, conduct analysis and visualization (Power BI/Tableau), prepare summaries and presentations, train staff, oversee report quality, and help build data repositories and ETL processes.

Design, build, and maintain scalable ETL/ELT pipelines and analytics-ready data models using Python and SQL. Implement GitLab CI/CD, develop dashboards in Tableau/Power BI, perform data cleaning and analysis, support modeling and AI initiatives, document metadata, and mentor junior staff while collaborating with cross-functional teams to deliver actionable insights.

Administer, optimize, secure, and automate cloud SQL, NoSQL, and graph database environments. Responsibilities include performance tuning, backups, disaster recovery, replication, migrations, access controls, monitoring, cost optimization, compliance, documentation, and incident troubleshooting. The role integrates databases with data platforms, pipelines, applications, and analytics tools while collaborating with engineering, architecture, security, and application teams. Candidates support AWS and Snowflake environments, modernization initiatives, audits, and Public Trust requirements.

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Design and support ETL, data migration, transformation, import, export, and validation workflows for moving legacy EHR data into athenahealth systems. Build Python and SQL utilities, define source-to-target mappings, support HL7 and FHIR interoperability, validate EHI exports, investigate data quality issues, document processes, and collaborate with product, implementation, operations, sales, and engineering teams in a remote environment.

Design, build, and maintain scalable batch and near-real-time data pipelines and data products using Databricks and Spark. Integrate internal/external sources, implement data models, ensure data quality, support BI (Sisense), CI/CD, and collaborate with analysts, scientists, and stakeholders to enable analytics and decision-making.