Top Data & Analytics Jobs

Develop and maintain customer audiences using SQL and PySpark in Databricks. Build and monitor data workflows feeding LiveRamp and other onboarding platforms, validate audience quality, analyze segmentation performance, and document reusable audience logic. Collaborate with data science, engineering, marketing, and strategy teams to operationalize model outputs and support CRM, media, and personalization activation.

Build and maintain Microsoft Fabric data pipelines, Lakehouse and Warehouse solutions, ingestion frameworks, Bronze/Silver/Gold data layers, transformations, dimensional models, and data-quality controls. Integrate ERP, CRM, manufacturing, construction, and other enterprise systems. Implement security, governance, DevOps, monitoring, documentation, and production support while partnering with architects, analysts, Power BI developers, and business stakeholders.

Executes ad effectiveness studies, analyzes media measurement data, and presents actionable insights to publishers and advertising platform clients. Manages 3–5 accounts, develops reports on advertising metrics, supports sales positioning, collaborates with analysts and product teams, and maintains client relationships while ensuring accurate, timely deliverables.

Design and implement data integration solutions, build data pipelines, manage cloud resources, and develop real-time data flows using AWS technologies and Snowflake.

Designs and maintains data architecture, ETL/ELT pipelines, data warehouses, lakes, and workflow automation. Ensures data quality, governance, security, availability, and performance while supporting reporting, analytics, dashboards, and machine learning. Translates business needs into technical data models, monitors data systems, and collaborates with Technology, Analytics, and business stakeholders. The role is based in the administrative office with work-from-home eligibility; travel is not required.

Leads enterprise data and actuarial technology strategy, modernization, architecture, delivery, operations, and production support. Owns cloud data platforms, actuarial applications, analytics, governance, resilience, controls, budgets, vendors, workforce planning, and regulatory readiness. Partners with actuarial, insurance, business, and technology leaders to execute multiyear roadmaps, modernize legacy systems, improve data quality and self-service analytics, and deliver measurable business value. Builds and leads a high-performing technology organization while overseeing risk, service health, disaster recovery, and operational performance.

Manage data domains and governance materials, including data dictionaries, metadata, taxonomies, schemas, and lineage. Apply standards that improve data quality and consistency across global markets. Partner with data, analytics, reporting, technology, stewardship, and investment teams to support reliable data deployment and usage. Explain data relationships and governance standards to stakeholders, support quality reviews, resolve inconsistencies, and improve documentation and workflows across media and marketing data systems.

Designs and develops large-scale streaming data systems, scalable infrastructure, data pipelines, and data models for Coupang’s seller marketplace. Owns projects from architecture through delivery, improves platform scalability and reliability, contributes to shared engineering standards, and provides technical leadership across teams. The role requires backend software expertise, distributed systems experience, and proficiency with Java, Spring, AWS, and data technologies such as Spark, Flink, Kafka, and NoSQL.

Designs and maintains enterprise healthcare EDI data pipelines for HIPAA X12 transactions, Medicaid encounters, and CMS compliance. Builds ETL/ELT workflows using Databricks, PySpark, Delta Lake, and SQL Server; develops validation, reconciliation, monitoring, and alerting frameworks; troubleshoots clearinghouse integrations; supports regulatory updates and encounter submissions; and collaborates with claims, compliance, security, product, and external healthcare teams.

Supports production planning and digital transformation by analyzing manufacturing, inventory, scheduling, and production-performance data. Builds dashboards, reports, and visualizations; documents workflows; identifies automation and AI opportunities; assists with analytics and digital-tool pilots; validates data; researches emerging technologies; and presents recommendations to operations, planning, and leadership stakeholders in a manufacturing environment.