Top Senior Level Data & Analytics Jobs in Minneapolis, MN

The Senior Analytics Manager will analyze data to support TV and streaming campaign design, provide insights for client strategy, and manage a small team of analysts, ensuring growth through innovative analytical approaches.

The Lead Data Scientist at BlueLabs will oversee the design, implementation, and delivery of analytics products, manage a team, and ensure high-quality data processing, while collaborating with various stakeholders to innovate solutions and enhance project outcomes.

The Senior Analytics Manager at BlueLabs will oversee complex quantitative research workstreams and develop new data-driven solutions for a major commercial client. They will lead a team of analysts, provide strategic insights, and ensure project quality meets standards. This role requires 5+ years of experience in advanced analytics leadership and 2-3 years of project management experience.

The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.

The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.

As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.

As a Staff Engineer in Data Science, you will leverage your extensive experience to implement machine learning solutions, mentor team members, and transform business requirements into technical designs. You will define architecture, develop solutions on cloud platforms, and ensure best practices in code quality and design while collaborating with clients and developers.

The Big Data Engineer will collaborate with the Business Analytics & Insights team to create data solutions involving data migration, pipeline design, and real-time data processing. Responsibilities include building scalable data pipelines, ensuring data quality, and providing technical support throughout the data management process.

The Senior Staff Engineer - Data Scientist will support and develop products through data analysis, model development, and collaboration with stakeholders. This role involves creating statistical and optimization models, identifying trends in large datasets, and communicating insights to enhance business performance.

The Senior Data Scientist leads the delivery of AI/ML solutions in healthcare, mentoring data scientists and overseeing key projects. Responsibilities include designing end-to-end AI/ML solutions, fostering professional growth in the team, and advocating for data-driven decision-making.