Top Data & Analytics Jobs

Design, build, and maintain Finance data models and scalable data pipelines on GCP. Automate workflows (Python, Airflow/Astronomer, Jenkins), ensure data governance and lineage, collaborate with stakeholders, conduct code reviews and testing, and evaluate new data sources and technologies to support financial insights.

The Senior Data Engineer will design and maintain data pipelines, manage a Snowflake environment, establish data quality, and lead data initiatives across teams, influencing company-wide technology decisions.

The Project Associate supports breach response operations, manages data processing, collaborates with teams, and ensures quality control and documentation. They assist in communication with clients and are involved in regulatory reporting and incident response tasks.

Lead analysis of payment and donation data across networks and providers to generate insights, reduce card processing costs, model merchant pricing, monitor interchange and fees, produce reports for stakeholders, partner with product managers, and oversee implementation of pricing changes.

Seeking a Snowflake Developer responsible for data modelling, designing scalable data solutions, SQL development, ETL pipelines, and configuring Snowflake resources, with strong problem-solving skills.

Conduct credit analysis, lead transaction execution, and prepare reports for CMBS transactions. Requires collaboration and management through timelines in commercial real estate.

The Analyst will work within Enterprise Resource Planning systems, potentially analyzing data and supporting operational efficiencies.

Drive and implement TNA IT strategy focusing on customer and employee experiences, leading digital transformation, business platform enhancements, and AI adoption for improved insights and productivity.

Designs and maintains ETL pipelines, data architectures, databases, data models, and master data management solutions. Analyzes, profiles, cleans, and validates complex datasets; establishes data quality standards; and develops automated data management processes. Partners with architects, data stewards, and business stakeholders to improve data integrity and support business requirements. Communicates insights through reports and presentations while using cloud, database, streaming, CI/CD, and data modeling technologies.

Develops dashboards, reports, data models, and measures using data lake and Lakehouse assets. Configures and tests enterprise business systems such as Workday, improves reporting standards, validates data, and documents solutions. Partners with departments to gather requirements, trains reporting and AI champions, promotes self-service analytics, and supports responsible AI use. The role also manages cross-functional requests, identifies data quality issues, and enables teams to independently maintain reporting workflows.