Top Remote Data & Analytics Jobs

Performs structured data analysis under senior guidance to solve customer problems, identify patterns and anomalies, test hypotheses, and develop reusable data science components. Collaborates with engineering, mission operations, solution delivery, and customers to scope requirements, improve processes, and translate analytical findings into actionable business decisions. The role requires strong communication, coachability, analytical coding ability, and willingness to travel up to 50%.

Leads the design and delivery of scalable infrastructure data systems, including ingestion pipelines, transformations, data models, and services for usage, cost, ownership, and planning. Establishes technical direction, data contracts, quality controls, monitoring, and operational processes while leading cross-functional initiatives and mentoring engineers. Uses AI responsibly to improve development and data-quality workflows while validating outputs and protecting sensitive information.

Own Moxie’s end-to-end data infrastructure, including pipelines, Snowflake warehousing, dbt and Omni modeling, orchestration, observability, and documentation. Partner with Engineering and Finance on schema changes, accounting logic, metrics, and business-critical reporting. Deliver financial or historical EMR data models, establish SOPs and reliability KPIs, optimize performance and cost, and help advance Practice Intelligence toward predictive and prescriptive products with appropriate AI safeguards.

Leads healthcare quality analytics using hospital performance, national rankings, Medicare claims, and CMS data. Replicates quality methodologies, identifies improvement opportunities, builds dashboards and benchmarking tools, and establishes analytic validation standards. Presents insights to executives and customers, supports pre-sales and engagements, partners with data scientists and consultants, and mentors analysts.

Drive global insights excellence across B2B markets by enabling research methodologies, KPI frameworks, reporting standards, and shared insight language. Translate business priorities into structured insight needs, guide stakeholders in interpreting research and analytics, orchestrate activities across markets and partners, maintain governance, and improve methodologies and ways of working. The role requires strong stakeholder management and the ability to turn complex information into clear, actionable business outputs.

Leads Cresa’s Strategy and Analytics practice, combining service-line strategy, client delivery, commercial planning, advisor adoption, team development, data governance, and AI innovation. The role personally delivers complex real estate analytics engagements, including site rankings, portfolio rationalization, and executive recommendations. It owns practice packaging, financial targets, tools, quality standards, and collaboration across the firm while developing a distributed analytics team.

Build and lead scalable batch and streaming data pipelines, data products, and platform architecture for digital marketing. Own customer, audience, campaign, consent, and activation data domains while ensuring reliability, privacy, governance, quality, and operational performance. Lead cross-functional initiatives, production incident resolution, data modeling, architectural reviews, migrations, and mentorship. Support marketing analytics, personalization, audience segmentation, identity resolution, and compliant data activation.

Designs, develops, tests, and executes SQL-based data migrations and integrations for higher education Advancement systems. Builds data pipelines, staging tables, transformation logic, stored procedures, validation processes, and database-driven integrations connecting legacy platforms, institutional databases, and Salesforce. Configures Salesforce, troubleshoots data and performance issues, supports migration testing and deployments, and collaborates with architects, consultants, and client stakeholders. Periodic travel and client relationship development are required.

Designs, builds, automates, and optimizes enterprise cloud data pipelines and platforms. Responsibilities include ETL/ELT, DataOps, CI/CD, data migration, data modeling, data warehousing, lakehouse architecture, database administration, performance tuning, and production support. The role uses Databricks, Azure services, PySpark, SQL, and multiple cloud platforms to deliver scalable structured and unstructured data solutions.

Develops, maintains, and enhances regulatory and internal statistical reporting using policy, claims, commissions, and unclaimed property data. Extracts and analyzes data, documents requirements and workflows, supports data integrity and compliance, communicates with regulatory entities and internal stakeholders, and recommends process improvements. Performs business testing, post-production monitoring, system reporting requirements, and ArcGIS-based participation verification.