Top Hybrid Data & Analytics Jobs

Coordinates and manages survey research projects, including questionnaires, methodologies, timelines, budgets, and project documentation. Develops client and industry knowledge, analyzes and interprets research results, and contributes to reports, presentations, and data visualizations. Collaborates across departments and supports clients in the public sector and health industries. Requires research experience, quantitative analysis skills, strong communication, attention to detail, teamwork, and proficiency with Microsoft Office.

Processes high-volume data from multiple sources, performs accurate data entry and verification, maintains records, and supports monthly, quarterly, biannual, and annual reporting. The specialist identifies missing or irregular information, follows up with staff, maintains documentation, assists with data-system accounts and training, and ensures compliance with technology, confidentiality, legal, and regulatory standards.

Designs and maintains scalable data platforms, backend services, APIs, ingestion pipelines, and data quality frameworks. Responsibilities include transforming heterogeneous datasets, supporting NLP and analytics workflows, modernizing legacy processing systems, monitoring pipeline reliability, and maintaining data lineage and documentation. The role also supports cloud-native architecture, governance, security compliance, and NIH Public Trust requirements.

Build and operate production data pipelines from clinical, operational, billing, and product systems into trusted warehouse datasets. Responsibilities include ingestion with dlt and Prefect, data modeling in dbt, AI training and evaluation datasets, pipeline testing and monitoring, lineage and alerting, schema changes, backfills, and secure handling of PHI through access controls, de-identification, and audit trails.

Develop and lead data ingestion, transformation, and distribution pipelines using SQL, Snowflake, Python, and related technologies. Oversee offshore data engineers, conduct code reviews, facilitate Agile ceremonies, and manage delivery timelines. Design batch and real-time pipelines, implement data validation and testing frameworks, optimize queries, troubleshoot bottlenecks, and ensure data integrity. Collaborate with architects, product owners, administrators, and business analysts to translate requirements into technical solutions.

Own the enterprise analytics data layer by defining and documenting data models, business rules, metrics, and ETL requirements. Validate curated datasets, maintain gold tables, data catalogs, and governance documentation, and administer the Tableau environment. Support permissions, dashboard adoption, user training, self-service analytics, privacy requests, and data governance while partnering with engineering, business, legal, and privacy stakeholders.

Lead design and delivery of major Azure-based data systems and production-grade pipelines. Build semantic models, support BI and ML workloads, drive platform architecture and standards, mentor engineers, and solve performance, reliability, and scalability challenges across Fabric, Synapse, Power BI, and broader Azure services.

Leads data stewardship for a business domain, aligning data strategy, governance, quality, modeling, metadata, MDM, and AI-readiness. Owns data dictionaries, quality standards, data contracts, lineage, classification, health monitoring, migration planning, and stakeholder enablement. Partners with engineering and product teams on platform design, pipeline testing, reporting models, and enterprise data initiatives. Requires extensive domain data experience and strong communication, governance, SQL, and modern data-platform expertise.

The Media Analytics Manager analyzes Amazon Media data, develops audience and performance insights, and recommends media optimizations supporting brand strategy and marketing KPIs. Responsibilities include championing Amazon Marketing Cloud adoption, synthesizing paid and organic media trends, evaluating media tests, monitoring competitive and retail activity, and translating analyses into actionable recommendations. The role also supports cross-functional program management with internal teams, Amazon, and agency partners.

Design and deliver major Azure-based data systems and products (ingestion, transformation, storage, semantic modeling). Build production-grade pipelines and feature infrastructure for analytics and ML, drive platform architecture and standards, diagnose performance and scalability issues, mentor engineers, and partner with stakeholders to translate business needs into scalable data solutions.