Top Data & Analytics Jobs

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.

Build and maintain interactive Power BI and Amazon QuickSight dashboards, gather business requirements, define KPIs, develop data models and calculated measures, validate data accuracy, and support governance through documentation in Atlan. The role also includes optimizing dashboard performance, migrating reports across AWS and Azure, partnering with data engineers, and training business users. Candidates need strong BI, SQL, data modeling, and executive stakeholder engagement experience.

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 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.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Analyze product, engineering, and machine data; build Python and SQL analyses; manage ETL pipelines across Amazon S3, Google Cloud Storage, and BigQuery; and develop Tableau or Streamlit dashboards. Translate stakeholder needs into KPIs, metrics, reliable datasets, and actionable insights while monitoring data quality, troubleshooting pipeline issues, and enabling self-service analytics.

Supports amateur scouting operations through prospect data management, draft preparation, data auditing, pre-draft workout coordination, and player evaluation support. Maintains accurate player records, performs data entry and quality-control reviews, resolves discrepancies, prepares reports, and coordinates scouting information across departments. The role also assists with special projects, process improvements, and extensive travel to amateur baseball events during scouting season.

Build and operate production data and streaming systems across edge, hybrid, OT, IoT, and enterprise environments. Responsibilities include developing connectors, real-time event-driven pipelines, data contracts, schemas, validation, lineage, observability, telemetry, federated query patterns, and reliable integration platforms supporting analytics and AI. The role requires strong ownership, system design, documentation, incident readiness, and collaboration with engineering and customer-facing teams.