Top Data & Analytics Jobs

Build and evolve Avant’s data platform by automating data lifecycles, integrating systems, enabling governed self-service analytics, and scaling Databricks-based data solutions. Partner with Business Operations and Product teams to define requirements and technical solutions. Develop practical, reliable, observable, and cost-effective Generative AI and agentic tooling that improves analyst workflows and delivers measurable business value.

Designs and maintains OCC’s cloud analytics data warehouse, ETL pipelines, data models, ingestion frameworks, and supporting infrastructure. Uses AWS, Terraform, Ansible, Python, SQL, Docker, CI tools, Vault, and workflow orchestrators. Responsibilities include warehouse optimization, access controls, testing, documentation, data governance, analyst support, self-service enablement, and training. Collaborates with data platform, DBA, and business teams to deliver secure, reliable, business-oriented datasets.

The Analytics Engineer will analyze sales proof-of-concepts and self-service trials, support growth and product-led sales initiatives, and evaluate pricing and monetization strategies. The role partners cross-functionally, models data in dbt, maintains data warehouses and ELT pipelines, experiments with emerging data and AI tools, and trains teammates on effective data workspace practices.

Leads the Managed Services analytics roadmap, KPI governance, Power BI dashboard strategy, reporting automation, and AI-augmented metrics services on InterSystems IRIS. Provides technical leadership in SQL, ObjectScript, APIs, data models, interoperability, query optimization, and application performance. Establishes data-quality and reporting standards, develops predictive analytics, mentors analysts and engineers, investigates complex issues, and advises senior leadership on operational performance, risks, and investment priorities.

Designs, builds, administers, and supports cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Leads data quality, governance, troubleshooting, testing, automation, reporting, dashboards, and infrastructure design. Collaborates with Agile teams to translate business requirements into technical capabilities and supports decision-making for Audit and business management. The role is full-time onsite at an eligible Federal Reserve location and requires extensive security screening.

Lead Prolaio’s enterprise data engineering strategy, architecture, pipelines, cloud data platforms, integrations, governance, and AI-enabled data capabilities for regulated healthcare applications. Build secure, scalable systems supporting clinical, device, patient-generated, research, analytics, and product data. Establish engineering standards for lineage, provenance, lifecycle management, privacy, HIPAA, and auditability. Hire and manage high-performing teams, influence cross-functional architecture decisions, and evaluate data platform vendors and tools.

Design, build, and manage scalable batch and real-time data pipelines, databases, and processing systems. Develop and administer Databricks and Snowflake environments, optimize data architecture and distributed processing, manage PostgreSQL and MySQL databases, and implement governance, monitoring, alerting, and troubleshooting practices. Collaborate with analytics, engineering, and product teams to deliver reliable data solutions, document workflows, and promote modern data engineering practices.

Leads the data engineering team, including hiring, coaching, technical direction, platform architecture, data pipelines, Snowflake warehousing, governance, quality, observability, and incident support. Partners with Data Science, Analytics, Clinical Operations, Biostatistics, and Business Development to deliver trusted data products for clinical operations, asset evaluation, reporting, and machine learning. Oversees budgeting, resourcing, documentation, technical programs, and responsible use of AI engineering tools.

Manage and validate merchant data integrations that feed Riskified’s data science models. Responsibilities include configuring data transformations, onboarding clients, assessing data flows, creating JSON and CSV templates, writing Python, SQL, Spark, Databricks, or R scripts, wrangling large datasets, monitoring data alerts, resolving data issues, and collaborating with engineering, product, data science, research, account management, and sales teams.

Implement StrataJazz software for healthcare system customers by translating integration specifications, configuring ETL processes, and using SQL and Excel to solve data problems. Partner with customers and internal technical teams, lead training, communicate project risks, execute mitigation plans, and support operational improvement initiatives. The role involves healthcare financial and clinical data, Agile implementation practices, and up to 10% domestic travel.