Top Remote Data & Analytics Jobs in Ann Arbor, MI
The IT Corporate Technology Systems Analyst supports Zuora Billing & Revenue software, focusing on technical support, issue troubleshooting, and end-user assistance. Responsibilities include configuration and maintenance based on business needs, coordinating with project managers and system users, testing systems, and managing urgent issues. The role also involves learning DFIN's billing processes and engaging in Zuora's online community for continuous improvement.
The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property
As a Senior Business Operations Analyst, you'll support revenue growth and customer retention through data management, process development, and reporting, while collaborating with various teams to maintain quality operations and provide insights to leadership.
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Experienced data analyst needed to tackle supply chain analytics challenges at Dandy, a dental industry tech company. Responsibilities include developing insights, defining data language, facilitating decision making, mentoring analysts, and utilizing data for problem-solving. Ideal candidates have 3+ years of experience in operations analytics or data science, BA/BS in a quantitative field, strong SQL and Python skills, and the ability to communicate results effectively.
The Lead Sales Compensation Analyst at Motive will manage day-to-day sales commissions processes, provide resolution for inquiries, validate data through analysis, and support system updates while ensuring compliance and process improvement.
The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
CQL seeks talented individuals to enhance its mission of simplifying technology and enriching commerce experiences. Roles available encompass skills in eCommerce platforms and management, including Salesforce Commerce Cloud, Shopify, BigCommerce, and UX design, among others.
As a Data Analyst Mentor at Udacity, you will review project submissions and provide feedback to students, ensuring work originality and maintaining a review time of less than 8 hours. You'll respond to technical queries promptly on the Knowledge platform, offering thorough and accurate support to enhance student learning experiences.
As a Mentor for Data Analysts, you'll provide technical support and feedback on project submissions, ensuring originality and maintaining quick response times to student queries. You'll review projects, guide students through technical challenges, and help them develop essential data analysis skills.
As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.
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