Top Remote Analysis Reporting Jobs in Santa Cruz, CA

Build and maintain Snowflake transformation layers and Power BI semantic models supporting reporting, self-service analytics, and AI initiatives. Develop SQL and dbt transformations, apply data modeling and business rules, automate manual data processes, troubleshoot data quality issues, and coordinate data projects from requirements through delivery. Collaborate with IT, data warehouse teams, engineers, analysts, and business stakeholders while contributing to code reviews, testing, CI/CD, and documentation.

Leads enterprise analytics and strategy engagements that translate complex business questions into decision-ready insights. Partners with executives and cross-functional leaders to evaluate opportunities, define measurement frameworks, identify data needs, and support growth, transformation, and operational effectiveness. Directs a team of analysts, establishes analytics methodologies, develops talent, and influences enterprise strategy through rigorous analysis, business acumen, and consultative leadership.

Build and optimize production batch and streaming data pipelines on Databricks using PySpark, SQL, Spark, and Delta Lake. Responsibilities include implementing Medallion architecture, deploying cloud data resources, automating validation, tuning performance, structuring enterprise datasets, and troubleshooting production issues. The role requires end-to-end ownership of enterprise data platforms, legacy warehouse migrations, data modeling, CI/CD, DevOps, and client-facing collaboration.

Designs and executes Salesforce data migrations, including extracting, transforming, cleansing, mapping, loading, validating, and reconciling large datasets. Develops ETL workflows and Salesforce API integrations, supports testing and deployment, troubleshoots data issues, maintains performance and integrity, and documents migration processes. Collaborates with architects, developers, and stakeholders to deliver reliable data solutions.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Develops and scales data, analytics, automation, dashboard, and visualization solutions supporting Quality and Compliance. Translates business needs into technical requirements, delivers digital portfolio initiatives, integrates data, establishes governance and controls, monitors solution performance, and drives adoption. Partners with cross-functional and global stakeholders across Supply Chain, R&D, and Commercial while supporting audits, compliance, training, and responsible digital practices.

Develops business intelligence solutions by collecting, integrating, analyzing, and presenting data from internal and external sources. Designs data models, taxonomies, schemas, and governance rules; builds Power BI and Power Apps solutions; develops front-end interfaces; and provides actionable insights to decision-makers. The role requires independent technical judgment, performance tuning, and collaboration across healthcare-related systems. It is fully remote with Central or Eastern Time Zone hours and occasional office travel.

Designs and maintains enterprise data domain models, taxonomies, ontologies, metadata standards, and semantic structures. Operationalizes these assets through data catalog platforms, resolves semantic conflicts, supports governance and data quality, and enables trusted analytics, machine learning, LLM, search, and retrieval-augmented generation use cases. Partners with business, analytics, data science, and AI engineering teams to improve data discoverability, interoperability, explainability, and adoption.

Own the design and operation of Navanta’s data backbone, including secure bank-system ingestion, lakehouse architecture, semantic data modeling, reconciliation, quality, observability, and governance. Partner with AI/ML, security, and platform teams to deliver governed, queryable data products. Lead data contracts, lineage, PII classification, access controls, pipeline reliability, and onboarding of new bank environments.

Own sales insights and analytics as the trusted source of truth for sales leadership. Build forecast reporting, predictive and machine learning models for deal outcomes, executive dashboards in Salesforce and Tableau, and actionable analyses supporting GTM strategy. Partner cross-functionally on metrics, data governance, QBRs, and strategic planning while translating complex business problems into recommendations.