Top Hybrid Data & Analytics Jobs

Summer technology intern supporting data analytics solutions, including SQL and Python data extraction, transformation, pipelines, reports, and Tableau dashboards in Snowflake. The role applies AI/ML, predictive analytics, natural language querying, and GenAI-assisted analysis to business decision-making. Interns collaborate in Agile teams, refine development backlogs, learn emerging technologies, and build cross-functional relationships.

Own enterprise data architecture across analytical, operational, and integration platforms. Design data models, cloud and hybrid platforms, governance standards, pipelines, and ETL/ELT processes. Partner with technical and business stakeholders, guide engineering teams, evaluate Azure technologies, and ensure security, quality, lineage, scalability, and cost efficiency. Support AI/ML workloads, streaming architectures, CI/CD, monitoring, and regulated enterprise environments.

Leads Commercial data architecture and technology ownership across Commercial, Medical Affairs, and Patient Services. Defines data strategies, warehouses, data products, master data management, governance, quality standards, and analytics enablement. Partners with business stakeholders, Data & AI teams, vendors, and implementation partners to design scalable solutions using platforms such as Snowflake, Tableau, and Power BI. Provides architecture oversight, supports AI initiatives, manages technical delivery, and ensures data compliance, reliability, and operational sustainability.

Build and maintain data pipelines in Azure Synapse using Spark, Python, SQL, and C#. Apply data warehouse and lakehouse modeling standards, collaborate with analysts and testing teams, troubleshoot data issues, and develop machine learning and regression analysis capabilities using Azure ML and related tools.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.

Manages supplier master data governance, including onboarding, maintenance, validation, cleansing, audits, reporting, and data quality improvement. Identifies and resolves inaccurate, duplicate, or incomplete records; supports ERP enhancements and governance initiatives; performs supplier risk and fraud controls; and collaborates with stakeholders and suppliers on compliance, process improvements, and user education.

Own Orum’s data platform architecture, roadmap, reliability, and scalability. Build batch and real-time ETL/ELT pipelines using PostgreSQL, event streams, ClickHouse, BigQuery, and dbt. Administer Looker and develop LookML models, dashboards, and a trusted semantic layer. Establish data quality, governance, lineage, observability, and metric standards while partnering with Product, Finance, GTM, and Operations on analytics, AI, and business intelligence initiatives.

Analyze structured and unstructured data from multiple sources to identify trends, produce dashboards and reports, and deliver actionable business insights. Develop BI solutions, KPIs, forecasts, root-cause analyses, and recommendations for improving operational performance. Communicate findings to technical and senior stakeholders, fulfill ad hoc reporting needs, and lead small projects and initiatives.

Designs and scales cloud-native data platforms and ingestion pipelines using AWS, Databricks, and Spark. Builds APIs, file-upload mechanisms, ETL/ELT workflows, data transformations, and Lakehouse architecture supporting analytics, machine learning, and operational use cases. Provides operational support for legacy C# .NET ingestion processes, troubleshoots pipelines, and promotes data governance, security, reliability, and documentation in a multi-tenant SaaS environment.

Administer, design, optimize, monitor, and support DB2 for z/OS, SQL Server, Oracle, and GIS databases. Responsibilities include schema and data architecture development, performance tuning, SQL code reviews, recovery and disaster-recovery support, administration procedures and documentation, infrastructure planning, change verification testing, and mentoring technical staff. The role requires extensive mainframe expertise, including JCL, COBOL, RACF, CICS, monitoring tools, and z/OS platform administration.