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Remote Data Analysis Excel Jobs in Minnesota (NOW HIRING)

Senior Business Analyst

Duluth, MN · On-site +1

$96K - $121K/yr

... data analysis; (6) act as a liaison between finance and operational leaders to ensure they have ... Remote Shift Rotation: Day Rotation (United States of America) Shift Start Time: Shift End Time:

Senior Business Analyst

Duluth, MN · On-site +1

$96K - $121K/yr

... data analysis; (6) act as a liaison between finance and operational leaders to ensure they have ... Remote Shift Rotation: Day Rotation (United States of America) Shift Start Time: Shift End Time:

Senior Data Analyst

Eden Prairie, MN · Remote

$91K - $163K/yr

... analysis, and utilizing advanced functions within Microsoft Excel * 3 years of experience partnering with business stakeholders to gather requirements and translate business needs into data ...

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Remote Data Analysis Excel information

What is a Remote Data Analysis Excel job?

A Remote Data Analysis Excel job involves analyzing and interpreting data using Microsoft Excel while working from a location outside of a traditional office setting. Professionals in this role use Excel to clean, organize, and visualize data, often creating reports, charts, and dashboards for decision-making purposes. They may work with large datasets, apply formulas, and utilize advanced Excel features like pivot tables and macros. Communication and collaboration are typically done through digital platforms since the work is performed remotely.

How much can a remote data analyst make?

A remote data analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, skills, and industry. Advanced proficiency in Excel, data visualization tools, and statistical analysis can lead to higher compensation, especially with certifications or specialized expertise.

Can you work remotely as a data analyst?

Yes, remote data analyst positions are common and often involve analyzing data using tools like Excel, SQL, and data visualization software. These roles typically require strong communication skills and the ability to work independently within flexible schedules.

How much can you earn from WFH Excel jobs?

Remote Data Analysis Excel jobs typically pay between $15 and $50 per hour, depending on experience, skill level, and project complexity. Freelance or contract roles may offer higher rates, especially for specialized skills like advanced formulas, VBA, or data visualization tools such as Power BI or Tableau.

What is the difference between Remote Data Analysis Excel vs Remote Data Analysis Power BI?

AspectRemote Data Analysis ExcelRemote Data Analysis Power BI
Required CredentialsExcel certifications, data analysis skillsPower BI certifications, data visualization skills
Work EnvironmentPrimarily Excel-based, cloud collaboration toolsPower BI dashboards, cloud platforms, collaboration tools
Industry UsageFinancial, marketing, operations analysisBusiness intelligence, reporting, data visualization
Search & Comparison IntentUnderstanding Excel data analysis rolesComparing data visualization tools in analysis roles

Remote Data Analysis Excel focuses on data manipulation and analysis within Excel, suitable for roles emphasizing spreadsheet skills. Remote Data Analysis Power BI involves creating interactive dashboards and visualizations, often used for advanced reporting. Both roles require data analysis skills but differ in tools and output focus, making them distinct yet related career paths in data analysis.

What are some common challenges faced by remote data analysts working primarily with Excel, and how can they be addressed?

Remote data analysts using Excel often face challenges such as managing large datasets that may slow down performance, ensuring data accuracy when collaborating asynchronously, and maintaining version control on shared files. To address these, many teams use cloud-based solutions like OneDrive or SharePoint for real-time collaboration and version history, and leverage Excel's advanced features such as Power Query and PivotTables for efficient data handling. Regular communication with team members and clearly defined file-naming conventions also help prevent errors and ensure everyone is working with the latest data.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in Excel, data visualization, and statistical analysis. Many companies offer remote roles that involve using tools like SQL, Python, or Tableau, and typically require a strong understanding of data management and communication skills.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in Excel, and why are they important?

To thrive as a Remote Data Analyst specializing in Excel, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field. Advanced knowledge of Microsoft Excel functions, data visualization tools, and familiarity with databases or business intelligence systems are typically required. Attention to detail, problem-solving abilities, and effective communication skills help you deliver clear insights and collaborate remotely. These competencies ensure accurate data analysis, informed decision-making, and successful teamwork in a virtual work environment.
What are the most commonly searched types of Data Analysis Excel jobs in Minnesota? The most popular types of Data Analysis Excel jobs in Minnesota are:
What are popular job titles related to Remote Data Analysis Excel jobs in Minnesota? For Remote Data Analysis Excel jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis Excel jobs in Minnesota look for? The top searched job categories for Remote Data Analysis Excel jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Analysis Excel jobs? Cities in Minnesota with the most Remote Data Analysis Excel job openings:
Principal AI Data Analyst- Remote

Principal AI Data Analyst- Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 9 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.  

The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven investigation and analysis of workplace incidents and data events using a systematic, analytics first approach. This role focuses on identifying impacted data at scale through automation, machine learning, and advanced analytics, while collaborating with cross functional teams including security, legal, privacy, and engineering.

This role plays a key part in building and evolving an AI enabled investigative data platform, leveraging modern data lake architectures, distributed processing, and production AI/ML pipelines to accelerate insight generation and decision making.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Lead AI assisted analysis of data events and incident investigations using structured and unstructured data
  • Design and implement automated pipelines to ingest, normalize, deduplicate, enrich, and classify large scale datasets
  • Apply machine learning, entity resolution, and data fingerprinting techniques to identify impacted individuals and data elements
  • Build and maintain production analytics solutions using Python, PySpark, and Databricks
  • Develop and deploy AI driven workflows (including Generative AI use cases) to improve investigative speed, accuracy, and scalability
  • Secure, preserve, and validate data sources to maintain analytical integrity and evidentiary standards
  • Partner with security, legal, and privacy teams to translate complex analytical findings into clear, actionable insights
  • Create dashboards, visualizations, and analytical summaries for executive and technical stakeholders
  • Operate effectively in time sensitive environments while maintaining analytical rigor, objectivity, and confidentiality
  • Contribute to the evolution of Optum's AI and analytics capabilities within the cybersecurity and data protection space

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree or 6 years of equivalent professional experience
  • 5 years of experience in advanced data analytics, data science, or AI focused analytical roles
  • 5 years of experience developing, testing, and deploying production grade Python code
  • 3 years of experience with DevOps and CI/CD tooling (GitHub Actions, Docker, Kubernetes, Terraform)
  • 3 years of experience with distributed data processing using PySpark and Databricks
  • Proven experience working with data lake architectures and medallion schemas
  • Proven solid expertise in SQL, data modeling, and data integration
  • Proven ability to transform unstructured data (e.g., documents, images, OCR-derived content) into structured, enriched, and model-ready datasets

Preferred Qualifications:

  • Advanced degree in Data Science, Computer Science, or a related field
  • Hands on experience with machine learning, predictive analytics, and classification models
  • Experience delivering AI driven analytics within a cybersecurity or incident response environment
  • Experience deploying Generative AI solutions into production analytics workflows
  • Experience with entity resolution, MDM technologies, or identity matching
  • Experience building AI models for file classification, data fingerprinting, or anomaly detection
  • Demonstrated familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Demonstrated familiarity with eDiscovery platforms and large scale data investigations
  • Proven solid understanding of modern analytics platforms and scalable data architectures

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. 


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