Top Remote Analysis Reporting Jobs in Tampa, FL

Develop and maintain Power BI dashboards, reports, KPIs, and business systems supporting commissioning, quality, and infrastructure projects. Gather requirements, improve workflows and data quality, coordinate user acceptance testing, manage enhancement requests, and validate reporting accuracy. Collaborate with operational, engineering, construction quality, and regional stakeholders to support governance, project readiness, issue tracking, and data-driven decision-making. Create documentation, training materials, and communications for system releases and reporting changes.

Designs, builds, and maintains Databricks data pipelines and analytics solutions using SQL and Python. Collaborates with development and IT teams, applies DevOps and CI/CD practices, supports Power BI dashboards, and contributes to data modeling, management, and governance. The role requires extensive Databricks and cloud-platform experience, strong communication skills, fluent English, and at least five years of relevant experience.

Designs and maintains standardized healthcare reporting and analytics solutions using Azure Databricks, SQL, and Power BI. Builds data transformations, reusable models, semantic datasets, metrics, visualizations, and governed reporting products. Partners with business, clinical, pharmacy, analytics, and technology stakeholders to translate complex requirements into scalable solutions. Explores AI-enabled and conversational analytics, including Genie One, while ensuring data quality, documentation, and maintainability.

Build scalable data ingestion, transformation, and loading infrastructure using Spark, SQL, AWS, and Databricks. Develop entity resolution systems, CI/CD pipelines, anomaly detection, and high-quality data products. Design scalable processing and storage patterns, orchestration workflows, and data warehousing solutions while collaborating remotely and documenting technical designs.

Leads customer analytics, revenue and retention reporting, executive and board reporting, renewal variance analysis, capacity modeling, customer health scoring, churn prediction, and data governance. Partners with Finance, Sales, Revenue Operations, Product, and Customer leadership to standardize SaaS metrics, improve retention, forecast revenue, and translate complex datasets into strategic recommendations and executive-ready dashboards.

Investigate and resolve data integration, file processing, and transfer issues. Monitor automated jobs, use SQL and SSIS to validate data, manage SFTP workflows, reprocess files, document integration processes, and collaborate with internal teams to ensure accurate and reliable client and vendor data exchanges.

Modernize an Azure Synapse platform and migrate workloads to Microsoft Fabric. Build metadata-driven ingestion frameworks, Fabric pipelines, Spark notebooks, validation and reconciliation processes, and Git-based CI/CD workflows. Analyze complex Synapse dependencies, implement full-load, incremental, and CDC patterns, and support medallion architecture, governance, lineage, monitoring, and security. Collaborate with client engineers through paired development, architecture discussions, code reviews, and knowledge sharing while using Claude Code for AI-assisted development.

Investigate fraudulent accounts, payouts, traffic sources, and partner activity across rewarded mobile apps. Analyze fraud patterns and MMP data, build risk rules and verification controls, quantify financial impact, and report results. Partner with Product, Engineering, Growth, Support, and external partners to prevent fraud while minimizing false positives. The role also establishes review standards, mentors teammates, evaluates fraud tools, handles appeals, and helps develop AI-assisted fraud workflows.

Owns the organization’s business intelligence environment, including Power BI reports, dashboards, datasets, refreshes, workspaces, access, and data pipelines. Integrates clinical, billing, and vendor data into a central warehouse, manages vendor data exchanges, establishes KPIs, and presents actionable findings to internal teams and executives. Requires strong SQL, Power BI and DAX expertise, AI-assisted development skills, API and integration experience, C# literacy, and at least three years supporting production data and reporting systems.

Analyzes and processes large-scale assessment datasets, maintains psychometric software and statistical code, troubleshoots programs, develops quality controls, coordinates data transfers, supports standard-setting studies, and communicates results. The role also improves workflows, mentors colleagues, supports project planning, and collaborates with psychometricians and technical teams.