Top Remote Data & Analytics Jobs in Chicago, IL

The Reporting Analyst delivers accurate, actionable reporting and analysis for internal and external stakeholders. Responsibilities include fulfilling ad hoc requests, managing reporting queues and SLAs, validating and reconciling data, documenting report logic and data dictionaries, identifying automation opportunities, and protecting PHI and PII. The role uses SQL and Python for data extraction, transformation, analysis, and automation while maintaining reusable report templates and collaborating with data, visualization, product, operations, compliance, and account management teams.

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

Lead marketing performance analytics to optimize digital acquisition funnels, measure channel and customer-level outcomes, build repeatable datasets and automation, define measurement standards, partner with Product and Technology, and quantify impact through test-and-learn approaches and operational improvements.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

Lead and build a product analytics function: define KPI framework, instrumentation, and self-serve analytics using Pendo and BI tools. Partner cross-functionally to measure product performance, surface insights, influence roadmap and embed AI-powered analytics into product lifecycle.

Design, build, and maintain scalable batch and real-time data pipelines and data lake architecture. Improve observability and SLOs, optimize ETL/ELT, develop dbt workflows, support event-driven architectures, integrate financial APIs, and collaborate with analytics and ML teams to deliver reliable, model-ready data products.

Designs, governs, and evolves conceptual, logical, and physical data models for a large healthcare EDW. Leads migration from Teradata to cloud (Azure/Snowflake/Databricks), ensures compliance (HIPAA/PHI/PII), produces ERDs and documentation, partners with architects, ETL engineers, DBAs and business SMEs, and supports data governance, quality, and performance for Medicaid/Medicare/Commercial datasets.

Design and build scalable data solutions for high-volume transaction streams. Partner with product and business teams to deliver analytics, dashboards, and insights. Lead data strategy, architecture, governance, quality, lineage, and access controls. Enable self-service capabilities and explore new open-source technologies to support business intelligence and operational needs.

Own customer data migration projects end-to-end: review, clean, map, import, validate, and QA records (events, tickets, customers, orders, donations, opt-ins, seating). Troubleshoot and monitor integrations (POS, CRM, marketing, reporting) using SQL, CSVs, APIs, webhooks, logs and admin tools. Build repeatable playbooks, documentation, and processes to reduce engineering dependency and ensure production data accuracy.

Build, deploy, and operate production-grade data pipelines and data products for healthcare audiences. Design transformations, data models, and governed views using Python, SQL, Airflow, S3, Snowflake, and EMR. Implement data-quality, monitoring, and privacy-by-design controls for PHI/PII. Partner with product, analytics, and platform teams to onboard sources, support audience discovery, segmentation, activation, measurement, and troubleshoot production issues.