Top Senior Level Analytics Jobs

As a Senior Data Scientist in Product Analytics at a leading fintech company, you will leverage data and analytics to drive informed decision-making and innovation in brokerage products. You will work on large analysis projects, develop machine learning models, design experiments, create data visualizations, and mentor team members.

The HR Data Operations Manager will oversee the integrity and quality of HR data systems, develop data standards, ensure compliance with data privacy regulations, and collaborate with various teams to enhance data management practices. Responsibilities include monitoring data quality and managing security incidents.

The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.

The New Business Development Analyst will identify growth opportunities, create strategies, and support proposal and capture processes to secure new contracts. Responsibilities include assisting with opportunity identification, proposal submissions, and maintaining proposal documentation, ensuring compliance and competitiveness.

As the Head of Analyst Relations at Atlan, you will enhance partnerships with industry analysts, sharing customer success stories and fostering dialogue around data management innovations. You'll collaborate cross-functionally to ensure effective communication of Atlan's value and lead strategic engagement initiatives that contribute to the evolution of the data landscape.

The MDR Threat Analyst will enhance threat detection and response capabilities of the Managed Detection & Response (MDR) service, improve detection coverage, support response to emerging threats, and curate threat intelligence to integrate into SentinelOne operations.

Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.