Top Data & Analytics Jobs

Creates and maintains complex database reports, data extracts, and Power BI dashboards for court staff and programs. Documents reporting requirements, analyzes business data needs, performs functional testing and validation, troubleshoots SQL and database issues, improves stored procedures, and supports report deployment. Collaborates with stakeholders and database administrators to develop reporting solutions and provides dashboard guidance to judicial staff.

Produce Salesforce-based sales analytics and reporting to improve forecast accuracy, pipeline visibility, territory coverage, and sales productivity. Build dashboards, track conversion and cycle metrics, maintain CRM data quality, support quota and territory planning, and present insights to sales leadership.

Own the end-to-end architecture of Opiniion’s data platform, including ingestion, transformation, storage, semantic layers, governance, lineage, and quality. Partner with the Staff Software Architect on a new platform while evolving the existing foundation. Design data models and statistical insights, support BI and AI/ML use cases, guide platform investments, and mentor data engineers. The role is hands-on and requires strong Databricks, SQL, Python, distributed processing, cloud, and modern data architecture expertise.

Leads the strategy, architecture, and execution of an enterprise data platform supporting analytics, machine learning, operational systems, and AI applications. Manages and mentors data platform engineers while remaining hands-on with architecture, reliability, technical direction, and troubleshooting. Oversees pipelines, orchestration, governance, security, observability, data contracts, migrations, and platform operations. Partners cross-functionally to translate business needs into scalable technical solutions and communicates decisions to technical and non-technical stakeholders.

Design and implement data pipelines, ensuring data movement, transformation, storage, availability, and scalability for AI/ML and mission applications. Collaborate with software engineers and data scientists using Databricks, AWS, ETL processes, relational databases, and Agile Scrum. Build solutions supporting defense and intelligence customers, including data-driven dashboards and deployments across JWICS, NIPR, and SIPR environments.

Build and validate SQL transformations mapping healthcare financial and clinical data into a unified ontology and semantic layer. Reverse-engineer customer business rules, own testing and data correctness, manage historical backfills and incremental loads, and collaborate with customers and platform, insights, and product engineering teams. The role requires strong healthcare revenue-cycle data expertise, production Python, modern data-platform experience, transformation-as-code workflows, data modeling, and customer-facing requirements discovery.

Own the operations analytics stack, including data warehouses, ETL pipelines, governance, forecasting models, executive dashboards, supply chain analytics, inventory optimization, and costed BOM reporting. Partner with Sales, Finance, Supply Chain, and Operations leadership to support S&OP, demand planning, production decisions, supplier performance, capacity utilization, and cost scenarios.

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

Senior individual contributor who architects and builds IAA's Azure-based data platform (ingestion, transformation, semantic modeling, delivery). Designs and implements complex production data pipelines, supports BI and ML workloads, sets standards, mentors engineers, and partners with business and engineering leaders to enable analytics, forecasting, and AI.