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Data Analytics Jobs in Red Wing, MN (NOW HIRING)

Data Intelligence Analyst

Eagan, MN · On-site +1

$22 - $46/hr

Bring your data expertise to a high-impact analytics role focused on turning complex information into clear, actionable insights. This position offers the opportunity to build modern dashboards ...

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and ...

Experiencein a Business Analyst or related role involving data analysis StrongExcel skills including charting, Pivot tables, statistical and data cleanupfunctions BasicPowerPoint, Word, Outlook ...

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

Contribute to Data Catalog and Analytics Community of Practice* Present and explain complex analytics concepts & methodologies to non-technical business partners.**Direction of Others:**Relies on ...

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

Contribute to Data Catalog and Analytics Community of Practice * Present and explain complex analytics concepts & methodologies to non-technical business partners. Direction of Others: Relies on ...

Contribute to Data Catalog and Analytics Community of PracticePresent and explain complex analytics concepts & methodologies to non-technical business partners.Direction of Others:Relies on ...

Contribute to Data Catalog and Analytics Community of Practice * Present and explain complex analytics concepts & methodologies to non-technical business partners. Direction of Others: Relies on ...

The Data Analyst is critical to the success of the Legal Human Resources function with the main priority of analyzing workforce data, understanding connections across data points, and pulling ...

Verify source data to be used truly supports requirements * Assist in analyzing business needs against existing data structures/strategy * Develop a strong working relationship with internal business ...

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and ...

Senior Data Scientist

Eagan, MN · On-site

$119K - $144K/yr

Use statistical, economic, and advanced data analysis to uncover meaningful patterns in market operations, participant activity, pricing, supply and demand, market anomalies, and market design.

Supply Chain Analyst

Hastings, MN · On-site

$75K - $85K/yr

Bachelor\'s degree or equivalent experience. * 2-4 years of experience in Supply Chain, Purchasing, Planning, Buyer, or Data Analytics. * APICS certification and Lean Manufacturing experience ...

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Data Analytics information

See Red Wing, MN salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data analytics in Red Wing, MN is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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.

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 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 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.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What cities near Red Wing, MN are hiring for Data Analytics jobs?

Cities near Red Wing, MN with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Red Wing, MN as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Intelligence Analyst

Eagan, MN • On-site, Remote

Horizontal Talent
Recruiting and Staffing Services • 201 - 500 employees

$22 - $46/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Bring your data expertise to a high-impact analytics role focused on turning complex information into clear, actionable insights. This position offers the opportunity to build modern dashboards, shape scalable data solutions, and support AI-enabled decision-making across business and regulatory functions.

Responsibilities
  • Design and deliver interactive Power BI dashboards and semantic models that provide meaningful insights to business leaders.
  • Develop and optimize data pipelines using SQL, Python, and modern scripting approaches for structured and unstructured data.
  • Support cloud-based analytics solutions across platforms such as Snowflake, Azure Synapse, Microsoft Fabric, or Databricks.
  • Contribute to AI and machine learning initiatives, including predictive analytics, anomaly detection, natural language query, and generative AI use cases.
  • Work with APIs and JSON-based data flows to connect enterprise systems and support analytics integrations.
  • Perform data quality, governance, and metadata assessments to help ensure reliable and standards-aligned data.
  • Partner with business, master data, IT, quality, and governance teams to define KPIs, data products, and reporting needs.
  • Help promote self-service analytics by training users on Power BI, Copilot, and related tools.
  • Support cloud and AI transformation efforts, including data platform modernization and adoption of responsible AI practices.
Skills
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field.
  • At least 7 years of experience in data analytics, business intelligence, data engineering, or data science.
  • Strong hands-on experience with Power BI, including data modeling, DAX, and dashboard design.
  • Proficiency in SQL and at least one programming language, with Python preferred.
  • Experience working with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric.
  • Ability to build, transform, and analyze data using tools such as Pandas or PySpark.
  • Strong problem-solving skills with the ability to translate business needs into data-driven solutions.
  • Comfort working across teams and communicating technical concepts clearly to different audiences.
Preferred Skills
  • Master’s degree in a quantitative or related field.
  • Exposure to Power BI Fabric, Copilot, or embedded analytics.
  • Experience with API integrations and JSON-based data processing.
  • Familiarity with AI/ML concepts, generative AI tools, or platforms such as Azure OpenAI or AWS Bedrock.
  • Understanding of data governance, data quality, lineage, and metadata management.
  • Experience with large-scale data analysis that supports strategic decisions and operational improvements.
  • Background in feature engineering, predictive modeling, anomaly detection, or NLP use cases.
  • Interest in streaming or near real-time data pipelines and scalable processing frameworks.

Horizontal is committed to fostering a welcoming, inclusive workplace where diverse perspectives are valued and everyone has the opportunity to contribute and grow. We encourage candidates from all backgrounds to apply and bring their unique experience, ideas, and strengths to the team.

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 - $46 per hour based on qualifications and experience.