Top Data & Analytics Jobs

Lead architecture and implementation of an AWS-native data platform powering analytics, ML, and AI workflows. Build scalable ETL/ELT pipelines (Airflow, Fivetran, dbt), enforce governance, observability (Datadog), and data quality, and provide technical leadership across Data Science, Analytics, Product, and Engineering.

The Business Rules Analyst will perform systems analysis for business rules applications, document business processes, and facilitate workshops, requiring strong interaction skills and experience in complex applications.

The Data Analyst will optimize marketing funnel metrics, conduct analyses, manage dashboards, and promote data-driven decision-making within the team.

The BI Partner supports national key accounts by performing analytics, developing data narratives, and assisting in strategic recommendations. Responsibilities include analysis, project management, and collaboration with the manager on business reviews and presentations.

Own and build reliable analytics data products: define metrics, create and maintain dbt models, design dashboards for growth/finance/ops, improve data quality via testing and monitoring, and enable self-serve analytics for stakeholders.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

The Data Engineer will design and maintain scalable data pipelines, automate workflows, and enhance data governance while collaborating with cross-functional teams.

The Drilling Data Analyst monitors and analyzes drilling data to ensure accuracy and timeliness for real-time decision-making while supporting customers and optimizing operations.

The Senior Data Engineer will design and optimize data pipelines and services, leading development in Azure environment, collaborating with teams for high-quality data solutions.

Assess customer on-prem geoscience databases and workflows, catalog data and customizations, produce migration assessments and reusable playbooks, prioritize product requirements, and coordinate across sales, success, and engineering to de-risk cloud migrations.