Top Remote Data & Analytics Jobs

Lead advanced analytics for a consumer mobile app, using large datasets, statistical analysis, experimentation, causal methods, forecasting, and data mining to guide product and business decisions. Build performance metrics, reporting tools, and data pipelines; collaborate with cross-functional teams; present insights to senior leadership; and use AI-assisted tools to automate analytics workflows.

Business Analyst serves as a liaison between IT development and business units, identifying business needs and recommending system solutions, enhancements, process improvements, and organizational changes. The role evaluates requirements, supports software development lifecycle activities, prepares communications and presentations, and may guide project work. Candidates should have 8+ years of business analysis experience, strong analytical and communication skills, Excel proficiency, and familiarity with Agile and Waterfall methodologies.

Analyzes complex and ambiguous data to deliver real-time insights, forecasts, recommendations, metrics, and strategic plans. Develops scalable analytical frameworks and manages the full data lifecycle from non-traditional sources. Partners with Product, Operations, Revenue, and Business Development stakeholders, conducts advanced statistical and data modeling analysis, supports reporting, and advises senior management on business decisions.

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.