Top Remote Analysis Reporting Jobs in Provo, UT

Leads the strategy, development, and delivery of client-facing reporting and analytics for life sciences clients. Builds Power BI dashboards, automated reporting, self-service analytics, KPI frameworks, and data governance standards. Translates commercial, medical, operational, claims, prescription, and client data into actionable insights. Partners with technical and business stakeholders, manages reporting priorities, vendors, budgets, and project delivery, and presents findings to executives and clients.

Leads the enterprise data architecture vision and multi-year roadmap centered on data mesh principles. Defines domain ownership, data products, platform architecture, governance, standards, interoperability, security, and quality frameworks. Partners with executives, engineering, security, privacy, and compliance teams to drive adoption and modernization. Chairs architecture reviews, evaluates technologies, guides proofs of concept, mentors architects and engineers, and builds business cases for platform investment and migration.

Analyzes specific stop loss claims, identifies claimants, prepares data for claim entry, builds dashboards, presents insights to leadership, and drives continuous improvement initiatives. Requires at least three years of claims data analysis or operations experience, expertise in specific stop loss claims, and a bachelor’s degree in business or analytics or equivalent experience.

Designs, develops, and maintains Domo-based business intelligence solutions, dashboards, reports, semantic models, and automated analytics. Analyzes data from multiple sources, ensures data quality and governance, translates stakeholder requirements into scalable reporting solutions, and communicates insights to technical and business audiences. The role also supports reporting automation, testing, documentation, continuous improvement, and Jira-based delivery coordination.

Build and maintain SQL-based integrations connecting behavioral healthcare EHR/EMR systems to the Eleos platform. Investigate pipeline failures, data discrepancies, and quality issues to identify root causes. Develop reusable extraction, automation, and validation tooling; document data models, mappings, and business logic; and create standardized data models. Collaborate with platform engineers, product teams, and customer technical teams to establish secure access and deliver scalable, reliable integrations.

Leads enterprise Microsoft Fabric architecture, strategy, governance, and onboarding standards for large-scale data acquisition and operationalization. Designs Lakehouse, Warehouse, OneLake, semantic, ingestion, and reusable data-product architectures across Medallion layers. Establishes metadata, lineage, observability, security, compliance, and operational controls while advising executives and mentoring architects, engineers, and data modelers. Partners with delivery teams to align platform architecture with analytics, reporting, modeling, and AI initiatives.

Leads technical operations for analytics and business intelligence systems. Designs architectures and solutions across data warehouses, BI tools, APIs, AWS, and Talend; oversees system changes, monitoring, security audits, and technical debt remediation. Collaborates across departments, implements coding standards, identifies downstream impacts, and mentors team members developing reporting applications.

Leads complex data-analysis initiatives supporting reporting, analytics, and operational decisions. Designs and optimizes SQL-based solutions, data models, stored procedures, Power BI reports, dashboards, and governed datasets. Analyzes healthcare and pharmacy benefit management data, resolves data-quality issues, establishes analytical standards, supports regulatory and client reporting, and mentors analysts. Partners with stakeholders to translate ambiguous business needs into scalable analytical approaches and actionable recommendations.

Monitors, validates, and improves data quality across device, program, operational, and field sources. Designs automated checks, reconciles discrepancies, investigates root causes, documents findings, and communicates impacts and recommendations. Collaborates with analytics, engineering, MEAL, and country teams to resolve issues. Maintains reproducible analyses using SQL, programming, version control, and notebooks while supporting data governance, reporting standards, and responsible handling of sensitive information.

Design and operate Alpaca’s scalable data platform on GCP, including lakehouse infrastructure, Kubernetes-based deployments, streaming and CDC pipelines, batch ingestion, BI access, cataloging, monitoring, and governance. Build infrastructure as code with Terraform and Ansible, operate distributed query engines and Apache Iceberg, maintain reliability practices, and collaborate with DevOps and analytics teams to support rapidly evolving data requirements.

Lead discovery and requirements gathering for credit union data and reporting initiatives. Map core banking and ancillary system data, define regulatory reporting logic and controls, specify executive dashboards, validate outputs, and drive adoption. Partner with credit union stakeholders and engineers to deliver data products addressing member growth, lending, deposits, risk, compliance, and marketing performance. Contribute domain expertise to reusable use cases, demonstrations, and prospect conversations.