Top Senior Level Data & Analytics Jobs in Rochester, NY
The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.
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 Lead Data Engineer at DICK'S Sporting Goods, you will design and manage data platforms, ensuring scalability and reliability. Responsibilities include automating CI/CD pipelines, maintaining enterprise data solutions, creating dashboards for monitoring, and driving technical strategies for cloud resources. Proficiency in coding/scripting and experience with cloud platforms and Infrastructure as Code is required.
The Data Analyst II will lead data integration, develop analytical models, build dashboards, and perform analyses to support workforce data trends and resource allocation for decision-making. Responsibilities include using mathematical and statistical methods to analyze data, ensure alignment with standards, and provide insights for recruitment and retention initiatives.
As a Staff Data Scientist at ClassDojo, you will leverage data to shape strategic directions and tackle product and business challenges. Your focus will include analyzing data for user insights, designing tests, and contributing to product improvements in a high-performing cross-functional team.
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.
The Controls Analyst at Coinbase will be responsible for creating and maintaining process, risk, and controls documentation for SOX compliance, coordinating evidence requests for audits, and collaborating with various stakeholders across the company. They will perform gap analysis to prepare for SOX audits and implement an effective control framework.
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
The Senior Analytics Engineer will design, develop, and maintain a high-quality data warehouse and analytics solutions, ensuring data pipelines are efficient and accurate. This role includes leading data model transformations, collaborating with cross-functional teams, and enabling self-service analytics to support data-driven decision making.
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