Top Hybrid Data & Analytics Jobs

Build and maintain dbt models and data pipelines feeding Snowflake from agency, CRM, HR, finance, and other sources. Onboard data sources, improve testing and observability, troubleshoot nightly runs, optimize Snowflake performance and costs, and contribute to governance controls. Develop backend data layers for internal applications, support CI pipelines, and collaborate with analysts and business stakeholders to deliver reliable, documented data models.

Investigate difficult public and municipal data sources, reconstruct and validate datasets, design data models, and build production systems for acquiring and refreshing data. The role partners with operations and state expansion teams, prototypes solutions, reviews TypeScript, uses PostgreSQL and spatial data, and owns reliable production implementations supporting affordable housing site selection.

Leads the design, development, and optimization of scalable data platforms, architectures, pipelines, and governance practices supporting analytics, AI, and machine learning. Manages technical direction, data modeling, migrations, observability, security, and compliance while mentoring and growing a high-performing engineering team. Partners cross-functionally to deliver trusted enterprise data products and consolidate fragmented systems into a reliable source of truth.

Build and optimize data transformation pipelines using SQL, dbt, Airflow, Python, BigQuery, and relational databases. Collaborate with stakeholders and data engineers, manage task scheduling, resolve data issues, perform analyses, present recommendations, support data exploration tool adoption, and mentor team members. The role also contributes to hiring, onboarding, and professional development while ensuring data accuracy and insight quality.

Build network, demand, pricing, and partner analytics for specialty pharmacy and infusion networks. Develop claims-based prevalence, volume, geographic capacity, pricing, routing, and impact models; create scalable tools with Engineering; automate analyses using AI; support enterprise sales with client-specific insights; and provide executive recommendations on pricing, partnerships, and growth.

Analyze and optimize the end-to-end sales funnel by developing KPIs, dashboards, diagnostic analyses, and operational measurement frameworks. Partner with Sales, Operations, Data Engineering, and Data Science teams to improve conversion, revenue, capacity planning, and pipeline prioritization. Lead AI-native automation initiatives, including LLM analytics assistants, automated reporting, prompt engineering, and machine learning model validation.

Senior Business Analyst responsible for defining system scope, analyzing user and business needs, documenting requirements, translating specifications into actionable solutions, and supporting client-specific functionality. The role partners with strategic client teams, serves as a subject matter expert, prioritizes requirements, maps account data workflows, and provides guidance on portfolio accounting, performance measurement, managed accounts, and fintech solutions.

Supports and modernizes enterprise data services, including SQL Server and cloud-based ETL/ELT, data warehouses, pipelines, data integration, dimensional modeling, and OLTP environments. Develops SSIS, Azure Data Factory, and Microsoft Fabric pipelines; troubleshoots production data and integration issues; optimizes SQL and stored procedures; documents data flows and lineage; and collaborates with technical and business teams on secure, compliant data solutions.

Leads commercial data governance strategy, operating models, policies, standards, ownership, stewardship, metadata, lineage, and data-quality programs. Partners with cross-functional stakeholders to improve data integrity, accessibility, privacy, compliance, and responsible use. Oversees governance councils, catalogs, glossaries, issue remediation, performance metrics, tool adoption, training, and change management across a regulated biotechnology commercial organization.

Develops marketing dashboards, reporting, attribution models, and funnel analysis to guide campaign investment and pipeline decisions. Ensures data quality across Salesforce, marketing automation, BI, and warehouse systems; resolves discrepancies and supports scalable data foundations. Builds API-based automations and applies AI/LLM capabilities to improve analytics workflows. Partners with marketing, revenue operations, sales, and leadership to translate marketing performance data into actionable business recommendations.