Top Remote Senior Level Data & Analytics Jobs in Minneapolis, MN

As a Senior Data Analyst, you will collaborate with product management and engineering leaders to define metrics for product performance. Your role includes developing data dashboards, partnering with data infrastructure teams, and conducting experimental design for performance attribution of product features.

As a Senior Data Scientist II, you will analyze healthcare data, create insights, and develop data products. You will collaborate with product and engineering teams to define models for healthcare challenges and contribute to AI and NLP projects while ensuring data processes are executable in production.

The Sr. Data Expert will lead analytics processes using complex tools to develop optimized analytical solutions for AML operations. Responsibilities include overseeing data assets, ensuring compliance with governance standards, and analyzing results to advise management. Strong communication skills and a background in KYC and data quality management are critical.

The Senior Data Scientist at Cohere Health is responsible for conducting data analysis to support product and leadership decisions, exploring healthcare and product usage data, and developing models to evaluate the impact of health outcomes. They will collaborate with teams to develop project requirements, present data-driven insights, and propose strategies to enhance healthcare services.

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.

The Senior Analyst, Pricing & Product is responsible for conducting competitive analysis, researching market pricing, establishing metrics for new product lines, and monitoring market competitiveness to ensure profitability. This role involves collaborating with various teams, utilizing data analytics, and supporting ongoing commercial auto product development processes.

As a Staff Data Scientist at Upstart, you will identify and analyze issues with predictive models and their business impacts, present findings to stakeholders, conduct ad hoc analyses, and collaborate with the Machine Learning team to develop and evaluate models. You will also produce clear, well-documented code and play a key role in model performance evaluation.