Top Data & Analytics Jobs

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.

Design and implement mathematical optimization engines and digital‑twin simulation models integrated with predictive ML to optimize production scheduling, sequencing, and resource allocation for aerospace manufacturing facilities. Validate models, analyze large manufacturing datasets, collaborate with ML and plant teams, and translate results for stakeholders to improve throughput and reduce WIP.

Lead the creation and execution of an enterprise Data Governance program: define ownership models, policies, standards, data quality/lineage/security/privacy controls, AI data standards, risk and regulatory reporting oversight, governance KPIs, and select governance tooling while driving cross-functional adoption and senior stakeholder engagement.

Collects and analyzes data, maintains databases, and creates recurring and ad hoc reports, dashboards, graphs, presentations, and documentation. Monitors progress toward business outcomes, supports decision-making, evaluates reporting processes, and recommends workflow and operational improvements. The role also assists with special projects and occasional meeting logistics under direct supervision.

Leads a multidisciplinary team of marketing analysts and researchers, combining marketing analytics, market research, advanced analytics, and performance insights. Oversees data infrastructure, SQL development, pipelines, APIs, ELT/ETL tools, Snowflake, and Tableau dashboards. Guides predictive modeling, segmentation, research methodology, AI experimentation, data governance, and client presentations. Develops team capabilities, workflows, and standards while translating complex data into actionable marketing and business recommendations.