Top Hybrid Senior Level Data & Analytics Jobs

Manage and optimize cloud and compute costs across Azure, Databricks, and Snowflake. Build cost tracking dashboards, develop tagging and allocation frameworks, partner with Engineering/Infrastructure to optimize resources, support budget reviews, govern provisioning and alerts, and align FinOps practices with SOC2/HIPAA requirements.

As a Senior Data Engineer, you'll design and implement ETL/ELT pipelines, write Python code for data processing, and optimize SQL models. You'll collaborate with teams and improve data architectures to support AI and marketplace strategies.

The Senior IT Business Analyst will define business requirements, manage scrum backlogs, collaborate with stakeholders, and analyze business needs within an Agile environment.

The Manager, Data Science will lead marketing analytics efforts, analyze marketing effectiveness, build models for investment strategies, and collaborate across teams to provide actionable insights.

As a Lead Data Analyst, you will drive analytics strategy, generate insights from data, design dashboards, and collaborate with teams to optimize business performance.

Design enterprise-grade data solutions using Databricks and Azure, optimize data pipelines, ensure compliance, and lead integration architecture efforts.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

As a Senior Analytics Engineer, you will design data architecture, optimize Redshift migration, maintain data quality, and automate data processes while collaborating with business teams for strategic insights.

The Data & Analytics Lead will define and build the data layer and analytics function, own data modeling and analytics, and mentor a team within a fast-paced AI-forward environment.

The Senior Client Data & Analytics Lead guides clients in developing data capabilities, coaching their teams, and translating needs for product delivery. This role combines data leadership with client interaction and strategic planning.