Top Data & Analytics Jobs

Develops and maintains healthcare data integration and EDI solutions, including ETL processes, data pipelines, data validation, cleansing, transformation, reporting, and compliance testing. Troubleshoots applications, manages code reviews, documents systems, and collaborates with analysts, healthcare providers, business partners, and IT teams. The role also implements security measures and recommends improvements to integration processes.

Supports VisionFund’s Impact team by measuring client outcomes, analyzing survey and operational data, benchmarking financial inclusion performance, building dashboards, validating data quality, supporting systems integration, and researching sector trends. The intern generates actionable insights for strategy and management decisions while contributing to communications and operational improvements across microfinance institutions.

Support and mature the firm's enterprise data governance program across Microsoft 365 and SaaS platforms. Responsibilities include administering retention, classification, DLP, eDiscovery, legal hold, information protection, access reviews, data lifecycle processes, audits, investigations, and compliance activities. The role troubleshoots permissions, search, migration, and integration issues, identifies automation opportunities, and coordinates between technical teams and business stakeholders.

Designs, develops, and supports data integration and migration pipelines connecting Microsoft Dataverse and Power Platform with cloud, SaaS, and on-premises systems. Builds ETL/ELT workflows using Azure Data Factory, SSIS, Dataflows, and Power Automate; develops REST API integrations; manages secure connectivity; and performs data mapping, transformation, validation, monitoring, and troubleshooting. The role also documents technical designs, supports testing and production operations, optimizes performance, and applies security best practices.

Supports competitor analysis for Commercial General Liability, Property, and Auto insurance lines. Researches competitor rate filings, updates competitor databases, maintains Tableau dashboards, and modifies SQL code to generate analysis tables. The intern also participates in special projects and analyzes policy coverages while delivering accurate, efficient work.

Transforms complex workforce and operational data into actionable insights through reports, dashboards, data models, forecasting, and performance analytics. Partners with stakeholders to define requirements, improve data quality, resolve reporting issues, support compliance, and guide business decisions. Leads complex analytical initiatives, establishes reporting standards, mentors analysts, documents processes, and develops scalable automated solutions for workforce planning, capacity, scheduling, and operational performance.

Supervises centralized global master data teams and optimizes customer, vendor, supplier, and material data processes. Ensures accurate and timely master data creation, performs quality checks and cleanup, maintains governance standards, and partners with plant and corporate leaders. The role also develops training materials, mentors staff, resolves issues, drives process improvements, and promotes collaboration across a matrixed manufacturing environment.

Designs, builds, and optimizes cloud data solutions using Microsoft Fabric and Azure. Develops data pipelines, Lakehouse architectures, ELT/ETL processes, data models, semantic models, and Power BI reporting. Partners with stakeholders to define requirements and technical designs, supports platform migrations, and implements data quality, governance, security, and monitoring practices. The role also contributes to AI and machine learning data initiatives and requires strong SQL, Python, PySpark, and modern cloud data engineering expertise.

Design and lead scalable, secure, highly available database infrastructure for multi-terabyte SQL Server environments. Set technical direction for data architecture, performance, real-time pipelines, security, and growth. Troubleshoot complex production issues, optimize queries and indexes, guide cross-functional projects, mentor engineers, review changes, reduce technical debt, and evaluate emerging technologies. Monitor database health using Splunk, Datadog, and Grafana while influencing engineering and Site Reliability strategy.

Designs and implements scalable data architectures, ingestion and transformation pipelines, API integrations, cloud data solutions, and data governance practices. The role supports analytics, business intelligence, dashboards, and AI models while optimizing infrastructure performance and cost. Responsibilities include data modeling, security, quality, lineage, compliance, documentation, and collaboration with cross-functional stakeholders. Requires expertise in Microsoft Fabric, AWS and Azure data services, SQL, Python, Tableau, and modern ETL/ELT practices.