Top Remote Data & Analytics Jobs in Minneapolis, MN
The Associate Paid Search Analyst will collaborate with category managers and stakeholders to define goals and strategies for advertising campaigns. Responsibilities include conducting keyword research, managing campaigns, implementing optimizations, analyzing performance, and communicating results to teams. The role requires expertise in PPC and best practices to enhance campaign effectiveness and achieve client goals.
Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.
As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.
The Research Associate is responsible for researching and understanding healthcare systems, providing information to nurses about providers and services, responding to member requests, and tracking cases. The role involves ensuring compliance with policies and procedures while exercising exceptional customer service skills.
The Senior GIS Analyst will develop spatial data management solutions, lead GIS projects, manage staff, and implement GIS systems for internal and external clients. Responsibilities include system administration, client communication, technical support, and mentorship of team members.
As a Data Annotation Specialist at Fi, you will review and label video data, maintain organized records, and ensure data quality standards to support machine learning projects, all while working flexibly part-time.
As a Go-to-Market Analytics Engineer, the role focuses on developing a data platform, architecting scalable data pipelines, managing metrics and models, and designing tools like dashboards that transform data into actionable insights, all within a growth-oriented environment.
The Insurance Analyst will track KPIs, analyze insurance trends, support strategic initiatives, manage data integrity, and facilitate communication across teams to ensure profitability in the insurance portfolio.
As a Senior Data Engineer, you will build and scale data pipelines, implement a robust data platform, troubleshoot and improve existing data solutions, and deliver reporting solutions while working with cloud infrastructure.
The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.
Top Remote Companies in Minneapolis, MN Hiring Data + Analytics Roles
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