Top Data & Analytics Jobs

Designs, develops, and supports enterprise data pipelines, dimensional and semantic models, BI solutions, and analytics platforms using Azure and Microsoft Fabric. Responsibilities include SQL-based ETL/ELT development, performance tuning, troubleshooting, data quality validation, metadata and lineage management, governance support, stakeholder requirements gathering, testing, documentation, and project milestone support.

Build and maintain SSIS ETL packages, troubleshoot production database and application issues, optimize SQL queries and reports, perform data analysis and updates, and create SSRS or Power BI reports. The role supports data cleansing, synchronization, software troubleshooting, process streamlining, and proactive automation while collaborating with technical and business stakeholders.

Leads end-to-end analytics engagements for client accounts, including data architecture, statistical analysis, dashboard development, SQL modeling, executive presentations, and strategic recommendations. Manages analytical roadmaps, billing and scope tracking, client relationships, and competitive benchmarking. Mentors junior analysts, governs Tableau and Power BI reporting standards, and improves team methodologies. Requires advanced analytics expertise, strong executive communication, and significant client-facing experience in B2B, enterprise, or channel sales environments.

The Senior Data Analyst builds and maintains datasets, automated reporting, dashboards, and performance metrics for commercial, operations, and client-facing teams. Responsibilities include healthcare reporting, ad hoc analysis, third-party data integration, SLA and KPI tracking, data quality, governance, lineage documentation, and collaboration with BI and Product Engineering teams. The role translates complex findings into actionable business insights while ensuring accurate, secure, and reliable data for program management and client success.

Build and optimize scalable data platforms, database architectures, and ETL/ELT pipelines using SQL Server, Azure Data Factory, Azure services, and Python. Integrate healthcare and enterprise system data, perform profiling and transformation, implement master data management, establish lineage and monitoring, and support AI/LLM-based document extraction. Collaborate with stakeholders and engineers to deliver reliable, well-tested, documented data solutions.

Lead the design and optimization of Cassandra and DataStax databases, tables, indexes, and ETL solutions. Establish database policies and best practices, improve query performance with application teams, and provide hands-on support for backups, recovery procedures, and issue resolution. The role requires advanced database management expertise, programming or scripting skills, and at least seven years of experience.

Leads development of Navanta’s secure data backbone, including lakehouse architecture, bank-system ingestion, CDC pipelines, semantic modeling, data quality, reconciliation, observability, governance, and lineage. Partners with AI/ML, security, and platform teams to deliver reliable, queryable data products for financial institutions. Owns data contracts, access controls, regulatory data handling, pipeline SLAs, bank onboarding, and on-call reliability operations.

Reviews and evaluates domain-specific documents, providing structured feedback on quality, accuracy, and relevance. The role requires strong analytical and written communication skills, detailed document review, proficiency with spreadsheet and presentation software, and the ability to follow structured guidelines. Candidates must have a bachelor’s degree, at least three years of relevant professional experience, English proficiency, and reside in the United States, Europe, the United Kingdom, or Canada.

Design and scale an AI-native Databricks Lakehouse data platform, including internal SDKs, self-service ingestion frameworks, batch and streaming systems, data contracts, schema validation, governance, and metadata lineage. Optimize Spark performance, Databricks costs, autoscaling, latency, and throughput. Partner with architects and stewards on privacy and security, promote AI-assisted development, and mentor engineers on distributed computing and maintainable code.

Leads enterprise HR analytics and business intelligence strategy, including dashboards, reporting, data governance, data quality, automation, and actionable insights. Manages analytics priorities, projects, stakeholders, and deliverables while partnering with HR, IT, and business leaders. Oversees reporting standards, compliance reporting, data integrity, and analytics solutions. Mentors analytics staff and trains end users on data literacy, reporting tools, visualization, and consistent analytics practices.