Top Data & Analytics Jobs

The Business Systems Analyst will optimize Salesforce-based tools for partner interactions, gather requirements, analyze processes, design reporting solutions, conduct user testing, and manage multiple projects while liaising between business users and technical teams.

Lead a team of data analytics professionals, drive insights into revenue metrics, oversee data modeling, governance, and strategy for analytics solutions.

The GTM Data & Automation Analyst will develop and scale data products, automate workflows, and enhance team efficiency through collaboration with sales and marketing teams.

As a Snowflake Data Architect, you will provide ETL support and specialize in Snowflake management, ensuring performance, governance, and optimization of data infrastructures.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

Lead a finance data engineering team to design, build, and scale ETL/ELT pipelines and automation frameworks using Snowflake, dbt, Airflow, Matillion, and Python. Manage delivery, reliability, and security of finance data solutions, collaborate with stakeholders to define KPIs, and drive operational improvements in a high-growth SaaS environment.

The Sr. Data Engineer will build and maintain data pipelines, ensuring scalability and reliability while supporting finance data processes and collaborating with stakeholders.

The GBS Data Analyst II will drive reporting and analytics for Procurement, focusing on data integrity, insights, and process improvements across P2P operations. This involves collaboration and development of dashboards, executing data analysis, and supporting procurement and accounts payable efforts.

As a Sr. Business Systems Analyst, you will enhance Salesforce and FinancialForce systems, manage business applications, and ensure SOX compliance while collaborating with cross-functional teams.

Seeking an experienced Data Engineer to design high-performance data pipelines and optimize complex data processing for security analytics. Responsibilities include utilizing technologies like Apache Spark and Kafka, while collaborating with cross-functional teams.