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Remote Analytics Engineer Jobs in Minnesota (NOW HIRING)

Genesis10

AI/ML Engineer - Remote

Rochester, MN · Remote

AI/ML Engineer - Remote Genesis10 is currently seeking an AI/ML Engineer - Remote position with a ... Interpret and analyze data to inform strategic decisions and communicate complex findings in easily ...

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WSB

Remote Lead Transmissions Line Engineer

Minneapolis, MN · On-site +1

$107K - $140.90K/yr

A leading design and consulting firm is seeking a Project Lead Engineer for remote work ... Candidates must have excellent analytical and communication skills, as well as the ability to ...

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Remote Analytics Engineer information

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.
More about Remote Analytics Engineer jobs
What are the most commonly searched types of Analytics Engineer jobs in Minnesota? The most popular types of Analytics Engineer jobs in Minnesota are:
What are popular job titles related to Remote Analytics Engineer jobs in Minnesota? For Remote Analytics Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Minnesota look for? The top searched job categories for Remote Analytics Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Analytics Engineer jobs? Cities in Minnesota with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Advanced Analytics Analyst

Advanced Analytics Analyst

Three Point Solutions, Inc.

On-site, Remote

Full-time

Posted 24 days ago

Job description

Job Title: Advanced Analytics Analyst
Client: Med Device Manufacturing Company
Location: Remote
Duration: 1 Year (Possible extension)
Shift: 1st Shift
Job Summary
Advanced Analytics Analyst / Power BI Developer responsible for developing and maintaining Power BI dashboards, semantic models, KPI reporting, and analytics solutions supporting R&D and business operations in a medical device environment.
Key Responsibilities (Mobile-Friendly)
• Develop and maintain Power BI dashboards and reports
• Build semantic models and shared datasets
• Create and optimize DAX measures and Power Query transformations
• Standardize KPI and metric definitions
• Improve report and dataflow performance
• Monitor workspace refreshes and troubleshoot issues
• Write SQL queries and validate data accuracy
• Collaborate with analytics and business teams
• Support sprint planning and backlog activities
• Participate in Git version control and code reviews
Core Duties
• Power BI dashboard development
• Data modeling & semantic model design
• SQL & Snowflake data analysis
• KPI reporting & performance optimization
• Analytics troubleshooting & support
Work Environment / Role Nature
• Remote analytics and BI development role
• Collaborative Agile / sprint-based environment
• Cross-functional interaction with R&D teams
• Regulated medical device industry environment
Required Skills
• Snowflake exposure - 5+ years
• Power BI development - 5+ years
• SQL query development - 4+ years
• Data modeling / Star schema - 2+ years
• DAX & Power Query (M) - 2+ years
• Medical device industry experience - 1+ years
• Git / branching / pull requests - Preferred
Preferred Skills
• Medical device industry experience - Preferred
• Regulated environment exposure - Preferred
• Power Automate - Preferred
• Power Apps - Preferred
• SharePoint Lists - Preferred
• Performance tuning
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