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Data Analyst Jobs in Chaska, MN (NOW HIRING)

The Data Analyst will be supporting energy efficiency programs by ensuring data quality and supporting data governance practices. The candidate must be a US citizen or hold a green card. The ...

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 ...

Our Data Analyst will play a crucial role in supporting the data and analytics needs of our Construction teams focusing on scheduling and field operations. In this position, you will be responsible ...

... Business Analyst experience including documenting business requirements and functional specifications 5+ years of experience in Data Warehousing - business or data analysis experience in data ...

Data Analyst Duration: 2 Months Location: Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED SOMEONE TO START ASAP *** *** NO DEGREE REQUIRED, MANAGER IS LOOKING FOR OVERALL TECHNICAL EXPERIENCE

Data Analyst Duration: 2 Months Location: Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED SOMEONE TO START ASAP *** *** NO DEGREE REQUIRED, MANAGER IS LOOKING FOR OVERALL TECHNICAL EXPERIENCE

... data from Act as the primary resource to educate providers on the required file standards and submission processes Define record layouts and mapping documents to transform provider files to the ...

The Principal Data Analyst serves as the Product Owner for HealthPartners' enterprise ERP reporting portfolio, partnering with business stakeholders and the reporting delivery team to prioritize work ...

The Principal Data Analyst serves as the Product Owner for HealthPartners' enterprise ERP reporting portfolio, partnering with business stakeholders and the reporting delivery team to prioritize work ...

Associate Data Analyst

Minneapolis, MN · On-site

$56K - $77K/yr

Position Summary The Associate Data Analyst is a member of Banner Engineering's Data Team, supporting the organization's business intelligence, analytics, and enterprise data management initiatives.

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 ...

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 ...

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

ARIC Data Analyst

Minneapolis, MN · Hybrid

$36.05 - $43.27/hr

The ARIC Data Analyst will collaborate with the research team on analyses of data from the Atherosclerosis Risk in Communities (ARIC) study ( ARIC is a large-scale prospective epidemiologic cohort ...

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Data Analyst information

See Chaska, MN salary details

$36.5K

$88.6K

$145.8K

How much do data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data analyst in Chaska, MN is $88,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Chaska, MN? The most popular types of Data Analyst jobs in Chaska, MN are:
What are popular job titles related to Data Analyst jobs in Chaska, MN? For Data Analyst jobs in Chaska, MN, the most frequently searched job titles are:
What cities near Chaska, MN are hiring for Data Analyst jobs? Cities near Chaska, MN with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Chaska, MN as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 66% In-person, 8% Hybrid, and 26% Remote job distribution, with an average salary of $88,608 per year, or $42.6 per hour.

$73K - $78K/yr

Other

Posted 16 days ago


Job description

Job Description One Tech Engineering is searching for a Data Analyst for a position located in Denver, Colorado, or Minneapolis, Minnesota. The Data Analyst will be supporting energy efficiency programs by ensuring data quality and supporting data governance practices. The candidate must be a US citizen or hold a green card.

The candidate should have at least 3 years of related experience. Data Analyst Responsibilities: Review and validate incoming data for accuracy and completeness. Identify data gaps, inconsistencies, and issues within data pipelines.

Collaborate with IT to develop and implement data validation rules and resolve pipeline issues. Build, maintain, and update data pipelines. Develop and enhance Power BI dashboards and reporting tools.

Document data dictionaries, data flows, and validation rules. Work with internal stakeholders to gather reporting requirements and understand business needs. Translate complex data into clear, meaningful insights for business users.

Support self-service analytics and provide training to end users as needed. Requirements of the Data Analyst: 3+ years of related experience. Strong interest in data analytics or data science.

Comfortable working with messy, incomplete, or undocumented data. Proficiency in SQL, Python, and Power BI. Experience developing or working with data pipelines is preferred.

Familiarity with Jira is a plus. Experience with Databricks is a plus.