Top Senior Level Data & Analytics Jobs in Salt Lake City, UT
The Staff Data Scientist will enhance data labeling capabilities at Pinterest by applying data science to improve throughput and quality of data collection. Responsibilities include identifying analytical opportunities, collaborating with engineers and customers, mentoring other data scientists, and evolving platform strategies in partnership with product and engineering leaders.
The Staff Engineer, Data Analyst will engage in data modeling, dashboard creation, and report generation using Power BI and SQL. The role requires a strong understanding of cloud services and databases and is suitable for candidates with significant IT industry experience.
Seeking a Senior Staff Consultant with expertise in SAP Analytics and Data Management to tackle client challenges and take solutions to the next level. Dynamic work culture with opportunities for growth and collaboration across global teams.
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new coll...
The role involves analyzing a variety of structures including metallic and reinforced concrete structures for small modular reactors. Responsibilities include executing and documenting static and dynamic analyses, reviewing designs, preparing deliverables, and supporting licensing documentation. The role requires familiarity with various software and codes relevant to structural analysis.
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The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
Manage and mentor a team of RCM Performance Analysts, enhance operational efficiency through data-driven insights, oversee performance metrics analysis, develop reporting dashboards, identify process improvement areas, and facilitate cross-functional communication to align client performance goals.
The QA Analyst will ensure software quality and reliability by conducting manual and automation testing, developing testing procedures, and collaborating with cross-functional teams in Agile settings. Responsibilities include writing user stories, creating test plans, and ensuring compliance with accessibility standards.
The Principal Analytics Engineer at Nike will design and implement advanced cyber security data systems, ensuring best practices in data handling and security measures. Responsibilities include overseeing a big data analytics platform, enhancing performance metrics, and guiding junior team members on data reporting and visualization tools, while addressing security and compliance issues.
The Senior Data Analyst at MNTN will analyze data, create visualizations, and support data analysis needs within the Production Operations team. Responsibilities include conducting analytics for stakeholders, debugging data incidents, and collaborating on product improvements based on data insights.
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As an Analytics Lead, you will manage projects for medium- to large-scale clients, overseeing data management, report building, and communication. You'll work with analysts and data scientists to deliver data-driven insights while leading teams and engaging with clients to achieve strategic goals.
The Principal Data & ML Scientist will lead the Generative AI team, focusing on developing and optimizing models for multimodal document processing and structured data extraction. Responsibilities include technical leadership, strategic planning, model development, and collaboration with cross-functional teams, while mentoring team members in advanced machine learning techniques.
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