Top Remote Senior Level Analytics Jobs in Rochester, NY

The Senior Data Engineer will develop and maintain data frameworks and systems for analytics, focusing on data acquisition, validation, and loading. Responsibilities include building machine learning pipelines, ensuring data quality, and integrating systems with GCP and BigQuery.

The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.

Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.

The Cloud Cost Analyst supports cloud modernization initiatives through the analysis, forecasting, and optimization of cloud expenses. Responsibilities include monitoring cloud spending, developing financial reports, identifying cost-saving opportunities, assisting in budgeting, and analyzing vendor contracts to optimize resource expenditures during migration projects.

As a Data Advisory Director, you will lead client engagements, advising Fortune 500 companies on data strategy and transformation. You will craft data strategies, design business cases, and establish roadmaps to enhance business outcomes, while navigating complex scenarios and keeping abreast of industry trends.

The Senior Data Analyst will empower the team by providing actionable insights on user behavior to enhance acquisition, engagement, retention, and monetization. Responsibilities include monitoring KPIs, developing A/B experiments, creating data visualizations, and identifying gaps in analytics infrastructure.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.