Top Data & Analytics Jobs

Leads enterprise data and AI strategy, governance, stewardship, shared data platforms, and responsible AI enablement in a federated operating model. Partners with executives, architecture, cybersecurity, audit, compliance, and business domains to ensure trusted, secure, scalable data capabilities. Builds and develops teams across data governance, engineering, analytics, and AI while driving enterprise alignment, platform adoption, data quality, and measurable business value.

Supports and enhances enterprise data systems, databases, integrations, and analytics platforms. Responsibilities include SQL development, database administration, performance tuning, production troubleshooting, backup and recovery, data pipeline development, Microsoft Fabric support, Power BI reporting, data modeling, security, governance, and documentation. The role collaborates with application developers, infrastructure teams, analysts, business stakeholders, and vendors to deliver reliable, scalable enterprise data solutions.

Build and maintain large-scale AWS ETL and data-processing pipelines handling billions of records. Investigate data-quality issues, analyze scoring outcomes, optimize query and processing performance, integrate diverse data sources, and develop reliable datasets. Own architecture and projects end to end, including testing, validation, production troubleshooting, and documentation. Apply statistical, machine-learning, AI, and analytical methods to improve data accuracy, scalability, and product outcomes with limited oversight.

Builds and maintains global Workday HR reporting infrastructure: gathers requirements, develops custom reports and dashboards, tests and validates solutions, supports UAT, mentors peers, handles ad-hoc data requests, and improves report performance and user adoption across HR teams.

Convert, map, load, validate, and troubleshoot banking data for client implementations on the Lumin Digital platform. The role manages data conversion projects through launch, collaborates with clients and cross-functional teams, resolves data and system issues, identifies project risks, and improves conversion processes. Responsibilities include testing multiple file formats, ensuring data integrity, supporting vendor transitions and mergers, generating exception reports, and providing technical consultation.

Analyze and report business, operations, customer, and economic data to generate insights, identify trends and variances, support operational and strategic decisions, and improve business effectiveness. The role uses SQL, R, Tableau, and Power BI to develop business intelligence and contribute to workflow improvements and long-term growth.

Design and develop scalable data pipelines, data models, schemas, and integrations for a video advertising platform. Collaborate across engineering, define user stories, deliver features using AI-assisted tools, write unit tests, maintain code quality, and support production systems on a rotating schedule. The role requires strong SQL, ETL/ELT, dbt, Airflow, Snowflake, AWS, and data architecture expertise.

Leads the architecture, implementation, governance, and modernization of enterprise AWS data platforms. Designs lakehouse, batch, and real-time solutions; builds pipelines with Glue, EMR, Lambda, PySpark, SQL, and Python; optimizes Redshift and S3 workloads; and implements security, cataloging, lineage, and row-level controls. Develops reusable QuickSight dashboards, datasets, semantic layers, and AI-powered reporting components. Provides technical leadership, mentoring, migration guidance, and collaboration across business, analytics, and engineering teams.

Conduct quantitative and qualitative research, analyze complex business scenarios, gather requirements, and synthesize stakeholder perspectives into actionable recommendations. Evaluate data using tools such as Excel or SQL, identify process improvements, and produce clear reports, memos, business cases, and documentation. Collaborate with stakeholders through written communication and contribute analytical content to help train AI systems.

Conduct market and competitor research, monitor industry trends, compile biographical and strategic profiles, and produce partner-ready reports and briefings using legal research platforms to surface business opportunities and support pitches for attorneys and firm leadership.