Top Analytics Jobs in Minneapolis, MN
The Data Analyst will transform complex data sets into valuable insights, supporting product development through analysis and reporting. Responsibilities include data exploration, analytics reporting using tools like SQL and Power BI, collaboration with product teams, and continuous learning of industry trends to drive business decisions and product improvements.
The Support Analyst Level 1 will assist internal and external customers with platform-related questions, manage incoming tickets, and develop expertise in Placer's systems. Responsibilities include troubleshooting, collaborating with the support team, and ensuring customer success via clear communication and effective support.
The VP of Data Science will lead Vevo's data science team, developing strategies and overseeing machine learning and AI applications to improve business processes in advertising and media. The role involves project management, collaboration with various departments, and ensuring high-quality deliverables, while coaching and growing the team of data scientists.
As a Data Scientist III at Intuit Credit Karma, you'll identify opportunities to enhance data utilization for financial services, optimize machine learning models, collaborate with marketing and engineering on model adoption, and explore advanced data science techniques in personal finance. The role focuses on leveraging large-scale models within a growing data science team to support financial products.
The Survey Data Analyst will manage survey data initiatives, develop questionnaires, analyze data, summarize findings, and make recommendations. Responsibilities include data processing, quality control, and supporting project closeout activities. The role requires interaction with clients to improve operations through data-driven insights.
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This is an invitation to join a talent community for Senior Operations Leaders at HelloFresh. Members receive updates on job openings, career tips, and events.
The ROC Risk Analyst I will produce reports for clients on cyber risk profiles, analyze advanced cyber threats, correlate adversary tactics, and create threat intelligence reports. The role involves supporting incident response and interacting with customers to refine threat intelligence products and services.
The Senior Marketing Analyst will develop a deep understanding of the company’s marketing strategy and data, perform analyses to improve customer experiences, synthesize data to provide insights that optimize marketing efforts, and support the development of frameworks for LTV and marketing attribution. This role will involve collaboration with various internal teams and reporting insights to business leaders to drive data-driven marketing strategies.
The Senior Data Scientist will develop innovative auto pricing models and process telematics data for feature engineering. Responsibilities include mentoring junior scientists, collaborating with cross-functional teams, and presenting data-driven strategies to leadership. The role requires leading end-to-end data science projects and optimizing cloud-based environments.
As a Principal Data Analyst, you will support key analytics projects across various teams, explore data for insights, create dashboards and visualizations, and partner with leaders to drive performance and strategy using data-driven insights.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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