Top Senior Level Data & Analytics Jobs in Rochester, NY

The Sr. Business Analyst will analyze, design, and implement eApplication solutions for F&G's business units and external customers. Responsibilities include mentoring team members, managing requirements documentation, coordinating testing, and improving business processes. The role requires effective communication with IT and business stakeholders, along with expertise in electronic order entry platforms and financial services.

The role involves leading Azure data solutions implementation, collaborating with stakeholders, problem-solving, and overseeing the full lifecycle of data engineering projects. Responsibilities include ensuring effective data movement, both batch and streaming, while engaging in Agile methodologies.

As a Data Scientist at Pacaso, you will analyze data to provide insights, collaborate with various teams, and support advanced analytics initiatives. Responsibilities include data cleansing, defining performance metrics, communicating findings, and building models to understand customer growth.

As a Senior Data Scientist at Twilio, you will use data to analyze Sales, Marketing, and Finance trends, working closely with GTM leaders to provide actionable insights.

As a Senior Database Administrator, you will manage and optimize MySQL and PostgreSQL databases, monitor server performance, resolve issues with minimal customer impact, and collaborate on projects within a global team. You'll be responsible for implementing improvements, conducting incident analysis, and ensuring data integrity and backups.

The Lead Data Engineer is responsible for designing, building, and optimizing data orchestration and pipeline architecture. This role involves maintaining data engineering architecture, implementing ELT and ETL processes, and mentoring junior engineers while supporting data needs across multiple teams and products.

The VP of Data Science will lead Vevo's data science team, developing strategies and overseeing machine learning and AI applications to improve business processes in advertising and media. The role involves project management, collaboration with various departments, and ensuring high-quality deliverables, while coaching and growing the team of data scientists.