Top Data & Analytics Jobs in Rochester, NY

Implement and optimize Adaptive Planning to support financial planning and decision-making processes. Collaborate with cross-functional teams, develop and maintain models, provide user training, drive process improvements, and stay updated on industry trends.

CrowdStrike is seeking a highly motivated Incident Response Analyst to support the Incident Response lifecycle, develop detection criteria, identify coverage gaps, provide security reporting, participate in incident response, and drive process development. This role is within the CSIRT team and is a remote position for qualifying service members in the US.

Join ezCater as a Senior Analyst in Marketing Analytics, leveraging data to drive innovation and impact customer strategy. Collaborate with cross-functional teams on business problems, customer insights, and marketing strategies. Requires 3+ years of experience in quantitative analysis, proficiency in SQL, statistical modeling, marketing attribution methods, and diverse marketing tactics.

The Research Analyst II at Enverus is responsible for owning datasets, leading research initiatives, and acting as a resource for clients. They work on data collection, processing, and cleaning, as well as collaborating with other teams on large projects. The role involves training new hires, addressing client inquiries, and crafting client-facing content.

The Research Analyst II at Enverus is responsible for owning datasets, leading research initiatives, data collection and processing, and collaborating with teams on large projects. They are also involved in client interactions, crafting client-facing content, and training new hires. The ideal candidate should have a Bachelor's degree, 1-3 years of relevant experience, and proficiency in Agile methodologies, Microsoft Office products, SQL, and programming languages such as R or Python.

The Research Analyst II at Enverus is responsible for owning datasets, leading research initiatives, and acting as a resource for clients. Duties include data collection, processing, data cleaning, and collaboration on large projects. This role involves executing strategies for data collection improvements, analyzing new datasets, addressing client inquiries, and training new hires. The ideal candidate will have a Bachelor's degree, 1-3 years of experience, familiarity with Agile methodologies, strong technical and analytical skills, and proficiency in Microsoft Office, SQL, R, and Python.

The Senior Business Systems Analyst at NBCUniversal will focus on Ad Sales technology, providing support for various systems related to sales, planning, pricing, and more. Responsibilities include troubleshooting, incident management, defect resolution, and collaborating with teams to improve processes. Qualifications include 6+ years of experience in Ad Sales systems, SQL exposure, and customer interaction skills.

Responsible for working cross-functionally to collect and analyze data from various sources to develop business intelligence and drive strategic decisions. Utilizes Teradata, SQL Server, Hadoop, AWS, and self-service analytics tools to analyze large datasets, identify business insights, and measure campaign effectiveness. Communicates findings through effective data visualization and narrative-driven presentations to executives. Promotes a culture of data-driven discussions and stays updated on emerging trends in analytics and machine learning.

Seeking a Machine Learning Engineer with expertise in Python, Machine Learning, and Data Science to join the Optimization team. Responsibilities include developing machine learning algorithms, data pipelines, and deploying models into production. Collaborates with internal teams, provides leadership, and contributes to future product development studies.

Develop standardized data models for accessing real-world data and generate regulatory-grade real-world evidence. Evaluate data sources, ensure data quality and security, and explore new approaches to data capture. Collaborate with stakeholders and develop statistical methods for data analysis.