Top Data & Analytics Jobs

Leads product metadata strategy, governance, taxonomy, standards, and quality across publishing products and sales channels. Designs data models, validates records, manages ONIX feeds and identifiers, improves discoverability, coordinates corrections, and integrates rights information. The role collaborates with IT, marketing, sales, editorial, distribution partners, vendors, and industry standards organizations while guiding cross-functional adoption without direct supervisory authority.

Analyzes and validates enterprise datasets using SQL, investigates discrepancies, traces data lineage through ETL/ELT pipelines and warehouses, and documents mappings, transformations, definitions, and data quality findings. Collaborates with business stakeholders, Data Engineering, and BI teams to identify root causes and improve data accuracy, consistency, and transparency. The role emphasizes hands-on data investigation rather than dashboard development or governance policy management.

Manages the firm's matter-related data assets, including matter profiles, experience data, knowledge management products, dashboards, and reporting. Oversees data quality, validation, platform administration, stewardship procedures, and process improvements. Partners with attorneys, practice groups, marketing, pricing, and data teams to translate business needs into data products and support AI and transformation initiatives. Supervises and develops direct reports while ensuring confidentiality, operational coverage, and compliance with firm policies.

The Data Engineer will architect, build, and optimize enterprise data platforms, lakehouse architectures, batch and streaming pipelines, analytics-ready data models, and governed semantic layers. Responsibilities include implementing Unity Catalog governance, security, lineage, CI/CD, automated testing, monitoring, and reliable production operations. The role partners with analysts, BI developers, and business stakeholders to deliver scalable solutions using Microsoft Fabric, Azure Databricks, Azure services, Power BI, and potentially Snowflake.

Translate business requirements into scalable reporting and analytics solutions. Partner with SMEs and engineering to source, validate, and model data in Azure and Microsoft Fabric. Build and maintain Power BI (primary) and Tableau dashboards, perform data profiling and quality checks, document lineage and definitions, and participate in Agile delivery to enable data-driven decisions for Medical Stop Loss operations.

Build and optimize Microsoft Fabric data solutions, including notebooks, pipelines, Lakehouses, data models, and ETL/ELT processes. Migrate legacy SQL Server datamarts, develop scalable ingestion and transformation workflows, and ensure data quality, testing, reconciliation, and production support. Collaborate with business and technical teams to deliver analytics-ready data. The role requires onsite work in Jefferson City, Missouri, and includes preferred experience with Databricks, Azure Synapse, Power BI, and financial services.

Designs, builds, and optimizes scalable Databricks-based data platforms, pipelines, integrations, and reusable engineering tools. The role focuses on platform performance, reliability, cost efficiency, security, governance, automation, and cloud infrastructure. It collaborates with engineering, analytics, security, and other stakeholders on architecture, technical planning, production support, and continuous improvement. The position requires hands-on data engineering experience with Databricks, cloud services, Python, SQL, Spark, infrastructure-as-code, and CI/CD practices.

Develops Power Platform and Power BI solutions for Army and DoD data environments. Responsibilities include data modeling, ETL, gateway connections, Dataverse and warehouse integration, dashboard and report development, Premium Workspace management, SharePoint and Microsoft 365 alignment, requirements gathering, stakeholder presentations, and technical project planning. The role requires an active Secret clearance and hybrid work at the Pentagon one day weekly.

Leads Safety & Health data management by tracking, compiling, analyzing, trending, and communicating injury, illness, and leading-indicator data. Performs statistical analysis, identifies prevention opportunities, manages safety databases and action commitments, and supports safety program coordination. The role communicates findings to operational, executive, and corporate leadership, assists with administrative duties, and travels periodically between Quonset Point, RI, and Groton, CT facilities.

Build and maintain data ingestion, transformation, and ETL/ELT pipelines; support data modeling, warehousing, quality validation, governance, cloud platform deployment, and analytics environments. Collaborate with analysts, data scientists, and product teams, participate in Agile ceremonies and code reviews, and document data flows, lineage, and standards.