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Senior Data Analyst Remote Jobs in Minnesota (NOW HIRING)

Horizontal Talent

Sr Data Analyst

Eden Prairie, MN · On-site +1

$22 - $40/hr

Join a dynamic enterprise data team as a Senior Data Engineer supporting large-scale healthcare ... Collaborate with data, analytics, and governance partners to support enterprise information ...

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will maintain and continue to reimagine the foundational metrics and analytics surrounding quality at UHG ...

R3 CONTINUUM LLC

Data Analyst I

Bloomington, MN · Remote

$24.83 - $28.65/hr

This position is remote in Minnesota and will need to be within a commutable distance to Minneapolis. Data Analyst I Essential Functions * Process report or data requests from various departments ...

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Senior Data Analyst Remote information

See Minnesota salary details

$53.9K

$97.2K

$132.7K

How much do senior data analyst remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data analyst remote in Minnesota is $97,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $106,300.00 per year, depending on experience, location, and employer.

What is a senior data analyst remote?

A Senior Data Analyst Remote job involves analyzing complex datasets to provide insights that drive business decisions, all while working from a remote location. Responsibilities typically include data modeling, visualization, and collaborating with cross-functional teams to optimize strategies. Senior analysts are expected to have advanced analytical skills, experience with SQL, Python, or R, and familiarity with business intelligence tools. They also help streamline data processes and ensure data accuracy for strategic planning. This role requires strong communication skills to present findings clearly to stakeholders.

What are the key skills and qualifications needed to thrive as a senior data analyst remote?

To excel as a Senior Data Analyst Remote, you need advanced analytical skills, a solid background in statistics, and experience with large datasets, typically supported by a bachelor's or master's degree in a quantitative field. Expertise in SQL, Python or R, data visualization tools like Tableau or Power BI, and familiarity with cloud-based data platforms are commonly required, along with relevant certifications such as Google Data Analytics or Microsoft Certified Data Analyst. Excellent communication, problem-solving ability, and project management skills are highly valued in this remote role to ensure effective collaboration and stakeholder engagement. These competencies are essential for delivering actionable insights, driving business decisions, and thriving within distributed, cross-functional teams.

What are the typical challenges faced by senior data analysts working remotely, and how can they be overcome?

Senior Data Analysts working remotely often face challenges related to effective cross-team communication, accessing data securely, and maintaining alignment with business goals. Proactively scheduling regular virtual check-ins, using collaborative project management tools, and ensuring access to up-to-date documentation can help bridge gaps and keep work on track. To overcome data access and security issues, it’s important to follow organizational protocols for secure connection to data sources and encrypted communication. Staying connected with stakeholders through clear, concise reporting also supports transparency and alignment. By embracing structured workflows and leveraging remote collaboration tools, remote Senior Data Analysts can stay productive and closely integrated with their teams.

What are the most commonly searched types of Senior Data Analyst jobs in Minnesota?

The most popular types of Senior Data Analyst jobs in Minnesota are:

What are popular job titles related to Senior Data Analyst Remote jobs in Minnesota?

For Senior Data Analyst Remote jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Remote jobs in Minnesota look for?

The top searched job categories for Senior Data Analyst Remote jobs in Minnesota are:

What cities in Minnesota are hiring for Senior Data Analyst Remote jobs?

Cities in Minnesota with the most Senior Data Analyst Remote job openings:

Senior Data Analyst Remote jobs near you
Infographic showing various Senior Data Analyst Remote job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $97,188 per year, or $46.7 per hour.

Sr Data Analyst

Horizontal Talent

Eden Prairie, MN • On-site, Remote

$22 - $40/hr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Join a dynamic enterprise data team as a Senior Data Engineer supporting large-scale healthcare data solutions in a highly collaborative environment. This role offers the opportunity to work on meaningful data warehousing and integration initiatives using modern Microsoft Azure technologies, Snowflake, and healthcare data standards.

Responsibilities
  • Design, build, and support data pipelines and ETL solutions for complex healthcare data environments.
  • Develop and maintain solutions using Azure Data Factory, Databricks, Informatica PowerCenter, SSIS, and similar tools.
  • Work with relational databases and write stored procedures to support efficient data processing and transformation.
  • Translate business requirements into clear technical specifications for ETL and data warehouse solutions.
  • Process both structured and unstructured data while maintaining data quality, reliability, and performance.
  • Collaborate with data, analytics, and governance partners to support enterprise information management efforts.
  • Troubleshoot issues, optimize pipelines, and adapt solutions as business needs and technologies evolve.
  • Contribute to work involving healthcare data formats and standards such as HL7 and FHIR.
Skills
  • 8+ years of data engineering experience with a strong focus on data warehousing.
  • 5+ years of hands-on experience with Azure Data Factory and Databricks.
  • 5+ years of ETL development experience using tools such as Informatica PowerCenter, SSIS, Azure Data Factory, or similar platforms.
  • 5+ years of experience with relational databases such as Oracle, Snowflake, or SQL Server.
  • 5+ years of experience writing stored procedures using Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
  • 3+ years of experience with Python scripting.
  • 3+ years of experience using source control tools such as Azure DevOps, GitHub, or SVN.
  • Experience analyzing project requirements and creating detailed technical specifications.
  • Strong problem-solving, troubleshooting, and analytical skills.
  • Bachelor’s degree or advanced degree in Information Technology, Computer Science, Mathematics, Statistics, Analytics, Business, or a related field.
Preferred Skills
  • Experience with batch scripting or PowerShell.
  • Data modeling experience in a data warehouse environment.
  • Familiarity with Spark and Azure Data Fabric.
  • Experience designing and building APIs in Snowflake and Azure Data Factory, including REST or RPC approaches.
  • Background in healthcare data, especially Medicaid or Medicare-related applications.
  • Azure certifications related to data engineering or data analytics.

Horizontal is committed to building an inclusive and welcoming environment where diverse perspectives are valued and everyone can contribute meaningfully. We believe equity, respect, and belonging are essential to great teamwork and better outcomes for candidates, clients, and communities.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $22 - $40 per hour based on qualifications and experience.

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