Top Senior Analysis Reporting Jobs in San Diego, CA

Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.

Designs, builds, and maintains real-time and near-real-time data ingestion pipelines using Apache NiFi, REST APIs, scripting, and streaming technologies. Monitors data quality, pipeline health, observability, reliability, and performance while moving classified data across security domains. Develops automation for validation and alerting, documents data flows and procedures, and collaborates with engineering, platform, analytics, security, and governance teams to ensure compliant, trustworthy data delivery.

Performs recurring quality checks on commercial life sciences datasets, investigates anomalies, validates data ingestion and integrations in Databricks, maintains data dictionaries and lineage documentation, and collaborates with stakeholders and vendors to resolve issues. Supports governance standards, ad hoc analysis, reporting, training, automation, and continuous improvement of commercial data quality processes using SQL and data observability tools.

Develop and maintain advanced BI dashboards, reports, and data visualizations; analyze data from multiple sources using SQL, Python or R; respond to stakeholder inquiries; translate business requirements into analytical solutions; support data warehouse development; and communicate actionable insights to technical and non-technical stakeholders.

Leads Brightree's analytics product portfolio and manages analysts and analytics engineers. Defines product strategy, roadmap, metrics, and scalable customer-facing analytics solutions. Partners with customers, product management, engineering, and data teams to translate healthcare workflows and business needs into reporting, benchmarking, and decision-support capabilities. Drives team development, analytics standards, product delivery, adoption, and continuous improvement.

Leads the design, development, implementation, and support of business intelligence solutions, including dashboards, reports, data models, pipelines, and reporting frameworks. Translates complex business requirements into scalable data solutions, ensures data quality and HIPAA compliance, resolves technical issues, evaluates emerging technologies, and mentors team members. The role manages staff, leads projects, partners with internal and external stakeholders, and communicates technical concepts to business and executive audiences.

Leads the analytics team and product portfolio, defining strategy, roadmaps, metrics, and customer-facing analytics capabilities. Partners with customers, product management, engineering, and data platform teams to translate healthcare workflows and business needs into scalable reporting, benchmarking, and decision-support solutions. Responsibilities include people leadership, product development, customer engagement, cross-functional execution, team coaching, and driving adoption of analytics products.

Design and build a modern enterprise data platform supporting analytics, reporting, machine learning, and near-real-time processing. Responsibilities include architecting warehouse or lakehouse solutions, modernizing legacy ETL, developing CDC and incremental pipelines, creating semantic layers, implementing data quality and observability frameworks, and establishing governance and retention strategies. The role also provides technical leadership and partners with Engineering, Product, Analytics, and Data Science teams.

Analyze and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.