Top Senior Level Analysis Reporting Jobs in Rochester, NY

As a Senior Data Analyst at Privacy.com, you will own analytics for the team, provide insights to stakeholders, manage data projects, design and analyze A/B tests, and support decision-making processes to enhance customer experience.

The Sr. Analyst Relations Manager will develop and enhance the analyst relations program at Databricks, building and nurturing relationships with key industry analysts. Responsibilities include managing analyst requests, coordinating briefings, staying updated on industry trends, and partnering with teams to improve market visibility.

The Data Analyst at Apiture will analyze complex datasets, develop predictive models, and derive insights to guide strategic decisions. This role involves collaboration with clients, data visualization, and operational support of data products while mentoring other analysts.

Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders

The Analyst Relations Manager at Secureworks will develop and execute an analyst relations strategy, foster relationships with analyst firms, manage peer review processes, and provide strategic insights for the organization. This role emphasizes strong communication and presentation skills to enhance Secureworks' visibility and reputation in the market.

As a Senior Data Analytics Engineer, you will support cross-functional teams with data analysis, build and maintain dashboards, and develop and manage data pipelines. Your work will involve creating reusable datasets and components for data analytics, ensuring data quality, and communicating insights effectively to stakeholders.

As a Senior Credit Analyst at Step, you will build pricing models, implement data tracking for KPIs, collaborate on lending strategies, and create customer risk profiles, all while working closely with Data Science to optimize profitability through credit policies and analysis.