Top Remote Analysis Reporting Jobs in Dallas, TX

Supervise actuarial predictive modeling initiatives for insurance pricing, portfolio management, and planning. Collaborate with actuaries, data scientists, underwriters, and management to develop, validate, govern, and implement models. Establish assumptions, loss adjustments, usage guardrails, monitoring practices, and model documentation. Support regulatory filings, improve team workflows, contribute to strategic projects, and mentor staff in actuarial and technical skills.

The Senior Pharmacy Business Analyst monitors pharmacy performance, identifies trends and root causes, and translates operational and financial data into actionable recommendations. The role builds Tableau dashboards, queries enterprise data warehouses with SQL, prepares executive reporting, and partners with pharmacy, Finance, Operations, and Clinical leaders. Responsibilities include recurring report ownership, quality assurance, planning support, ad hoc analysis, and communicating insights to senior stakeholders.

Designs secure Azure data pipelines and analytics foundations using Databricks and ADLS Gen2. Responsibilities include modernizing Oracle workloads, developing medallion data models, implementing data quality and monitoring practices, integrating curated datasets with Power BI, and establishing secure Azure Government identity, network, storage, and access patterns. The role also requires documentation, operational support, stakeholder collaboration, and performance optimization.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include data mapping, transformation, validation, normalization, quality monitoring, governance, metadata and lineage management, requirements gathering, and supporting ingestion pipeline delivery. The role partners with engineering and analytics teams, serves as a subject matter expert, and ensures reliable data for value-based care, reporting, and operational use cases.

Leads the architecture, implementation, and evolution of enterprise data platforms, including Master Data Management, data lakes, lakehouses, and cloud data services. Manages data engineers and developers, establishes engineering standards, oversees Azure-based integrations and pipelines, and owns data applications, databases, security, governance, and production support. The role also directs technical strategy, manages multiple initiatives, and communicates architecture and delivery plans to stakeholders.

Leads enterprise business intelligence architecture, governance, and optimization across Power BI and Microsoft Fabric. Designs semantic models, dataflows, DAX measures, security controls, deployment processes, and reporting standards. Partners with data engineering and business stakeholders to deliver scalable analytics for operational, financial, and executive decisions. Provides technical leadership, mentors BI developers, documents architecture, and advises leadership on platform strategy and future-state analytics capabilities.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Leads qualitative and quantitative market research to uncover customer, market, competitive, and healthcare insights. Designs and manages studies, analyzes data using statistical and AI-assisted tools, develops reports and dashboards, presents recommendations, maintains research quality, and coordinates external partners. Collaborates with product, engineering, sales, marketing, and customer success teams to influence product strategy, growth, innovation, and customer experience initiatives.

The Data Governance Specialist develops and enforces data governance, quality, privacy, risk, and compliance standards across organizational data assets. Responsibilities include managing metadata, data dictionaries, lineage, classification, retention, PII controls, DPIAs, risk assessments, audits, dashboards, and data-quality remediation. The role partners with engineering, security, legal, and business teams, provides stakeholder training, investigates data integrity issues, supports incident escalation, and automates governance processes through scripting.