Top Senior Level Analytics Jobs in Rochester, NY
The Sr. Compensation Analyst at GeneDx is responsible for designing and implementing compensation programs that align with organizational goals. Key duties include strategic development of compensation structures, collaborating with various departments for compensation guidance, conducting job evaluations, leading annual compensation reviews, and providing data-driven insights for program enhancements.
The Senior Data Analyst at Esusu will focus on data products and analytics, transforming data into insights. Responsibilities include collaborating with managers, mentoring peers, building data pipelines, and creating visualization models using technologies like Python and Tableau.
The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.
The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
The Senior Data Analyst is responsible for data discovery, data structure definition, data dictionaries creation, data lineage documentation, and providing algorithms for mastering data to enable quality reporting and analytics. They oversee other analysts, lead complex projects, and provide strategic guidance. Required qualifications include a Bachelor's degree in Data Analytics or related field, 10+ years of experience, and expertise in SQL, Excel, ETL, and Tableau.
The Senior Advisor - Data Storytelling PM will process and analyze diverse data sources to create performance narratives that inform strategic fundraising decisions. Responsibilities include data analysis and visualization, generating insights from performance metrics, stakeholder engagement, maintaining dashboards, and training teams on analytics best practices.
The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.
The Manager of Data & Analytics will supervise a team, manage data infrastructure, develop data models, and ensure data governance. Responsibilities include partnering with stakeholders for strategic data reporting and supporting data-driven initiatives. They will also coach junior team members and ensure compliance with global data regulations.
The Senior Analytics Engineer will design, build, and maintain data models to drive business insights, collaborate closely with stakeholders, implement data automation, and enhance analytics capabilities. The role involves managing multiple projects, defining best practices for data sourcing, and communicating updates effectively across teams.
The Senior Analyst, Revenue Operations at Blink Health will lead Salesforce platform management including administration, customization, and integration. Responsibilities include enhancing system performance, ensuring data integrity, implementing process automation, and developing advanced reporting and analytics to drive operational excellence and support business strategy.
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