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Data Analytics Jobs in Morris, MN (NOW HIRING)

Enterprise Data Strategy & Governance * Develop and oversee enterprise-wide data governance ... Business Intelligence & Analytics * Provide leadership for Business Intelligence and enterprise ...

Must have computer skills and dexterity required for data entry and retrieval of information. Must ... Provides reporting and analytics to ensure operational profitability. * Identifies opportunities ...

Ensure accuracy and timeliness of financial data * Perform variance analysis and communicate key findings Financial Analysis * Analyze expenses against budget and forecast, identifying trends and ...

Accountant II

Glenwood, MN · On-site

$55K - $65K/yr

Ensure accuracy and timeliness of financial data * Perform variance analysis and communicate key findings Financial Analysis * Analyze expenses against budget and forecast, identifying trends and ...

Experience with data analysis and process improvement methodologies * Commitment to maintaining a clean and organized work environment using 5S principles What's in it for me? * Opportunity to work ...

... data-driven hiring. Key Responsibilities • Manage full-cycle recruiting (sourcing → offer → ... analytics & reporting Work Environment / Role Nature • Fast-paced, high-volume recruiting ...

HR Recruiter

Alberta, MN · On-site

$33 - $36/hr

... data-driven hiring. Key Responsibilities • Manage full-cycle recruiting (sourcing → offer → ... analytics & reporting Work Environment / Role Nature • Fast-paced, high-volume recruiting ...

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Data Analytics information

See Morris, MN salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data analytics in Morris, MN is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $59.38 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What cities near Morris, MN are hiring for Data Analytics jobs? Cities near Morris, MN with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Morris, MN as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $108,992 per year, or $52.4 per hour.

Director of Data & AI

Vivie

Alexandria, MN

Full-time

Posted 9 days ago


Vivie rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Schedule: Full-time| Monday – Friday | 8:00 a.m. to 4:30 p.m.
Pay Range: $120,000 to $160,000 (exempt), based on experience, qualifications, and location.

Why You’ll Love Working at Vivie

  • Competitive pay with employer-matched retirement and pay-on-demand
  • Comprehensive health and wellbeing benefits
  • Generous PTO and paid holidays
  • Career growth with scholarships, training, and professional development
  • Work-life benefits and modern technology that make your day easier

As a Director of Data & AI, you are responsible for leading Vivie's enterprise data governance strategy, ensuring organizational data is accurate, accessible, secure, and transformed into meaningful business value. This role establishes the framework for how data is governed, managed, and leveraged across the organization while advancing business intelligence, artificial intelligence, automation, and analytics initiatives. By creating a trusted source of truth and enabling innovative, scalable solutions, this leader strengthens decision-making, improves operational efficiency, enhances customer experience, and supports organizational performance.

As a Director of Data & AI, you will:

Enterprise Data Strategy & Governance

  • Develop and oversee enterprise-wide data governance strategies, standards, and frameworks that establish accountability, improve data integrity, and ensure consistency, accessibility, and usability of organizational data across all systems and service lines.

Business Intelligence & Analytics

  • Provide leadership for Business Intelligence and enterprise reporting. Standardize KPIs, dashboards, scorecards, and reporting methodologies. Ensure reporting consistency across all divisions and service lines. Transform organizational data into actionable insights that drive strategic and operational decisions. Strengthen enterprise confidence in analytics and performance reporting.

AI Strategy & Innovation

  • Lead the enterprise AI strategy, roadmap, automation initiatives, and innovation efforts. Identify and prioritize high-value AI opportunities across the organization. Establish governance, standards, and best practices for AI implementation. Ensure AI initiatives align with organizational priorities, enterprise architecture, and measurable business outcomes.

Operational & Divisional Alignment

  • Partner with operational divisions and shared services to standardize data practices and operational processes. Eliminate fragmented or duplicative data management practices. Ensure consistency from point-of-entry through enterprise reporting and analytics. Build scalable approaches that support growth, efficiency, and operational excellence.

Workflow Automation & Operational Integration

  • Serve as the connective layer between Strategy & Execution, IT Operations, Informatics, Operations, Shared Services, and organizational leadership to align operational needs, technology systems, reporting priorities, and enterprise strategy. Ensure data, AI, automation, and technology platforms function as one connected ecosystem.

AI Adoption & Organizational Enablement

  • Lead enterprise AI adoption, education, coaching, and change management. Support leaders and teams in practical application of AI and automation. Develop repeatable frameworks for evaluating, piloting, implementing, and scaling AI capabilities. Foster a culture of innovation, continuous improvement, and responsible AI use.

Other Duties as Assigned

  • The duties and responsibilities listed above are representative of the nature and level of work assigned and are not necessarily all inclusive.

This job also requires:

  • 7-10+ years of experience in data governance, analytics, informatics, data strategy, or related leadership roles.
  • Experience leading enterprise-wide governance and standardization initiatives.
  • Strong understanding of data architecture, reporting, and operational workflows.
  • Healthcare, senior living, or multi-site operational experience preferred.
  • Proven leadership and cross-functional collaboration experience.
  • Ability to pass state mandated background checks.
  • Physical capability to perform all essential job functions.
  • Ability to read, write, and speak English to ensure effective communication with team members, residents, and community partners.

Additional Details:

  • Employment Type: Salary, Exempt
  • Department: Administration
  • Travel Requirements: Yes – as needed
  • This role does include supervisory responsibilities.

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