1

Assistant Data Analyst Jobs in Minnesota (NOW HIRING)

Sr Financial Data Analyst

Minneapolis, MN ยท On-site

$73K - $104K/yr

Analyze financial data to identify adverse trends and recommend solutions to mitigate financial ... Provide proactive process improvement recommendations and assist in implementing the accepted ...

Data Actuarial Analyst Senior

Bloomington, MN ยท On-site

$86K - $109K/yr

HealthPartners is hiring a Data Actuarial Analyst Senior. POSITION PURPOSE: * To work with Manager ... * Assist Actuarial team members with data integrity issues. * To insure that the Actuarial ...

Data Engineer

Minneapolis, MN ยท On-site +1

$75.75 - $83.33/hr

Build dashboards for data variance trend for the stakeholders and assist on determining tolerance thresholds for Go Live decisions. * 5+ years working in data analytics role. * 1-3 years of ...

Showing results 21-40

Assistant Data Analyst information

See Minnesota salary details

$27.4K

$70.2K

$134.2K

How much do assistant data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for assistant data analyst in Minnesota is $70,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $81,800.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What are the key skills and qualifications needed to thrive as an assistant data analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
What are the most commonly searched types of Data Analyst jobs in Minnesota? The most popular types of Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Assistant Data Analyst jobs? Cities in Minnesota with the most Assistant Data Analyst job openings:
Infographic showing various Assistant Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,197 per year, or $33.7 per hour.

Business Intelligence Data Analyst

Atria Group LLC

Eagan, MN โ€ข Hybrid

Full-time

Re-posted 14 days ago


Job description

Company Description

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Job Description

This is a hybrid role.. they need to be both technical (be able to build complex logic into existing report code) and strong analysis skills.. A BA won't be technical enough.. Some additional details are below.

They key and primary skillset/expertise we are seeking is that of a data analyst who is proven to be a highly skilled analyst in a complex data environment, preferably in the healthcare payer warehouse space.ย 

The initial work will be redirecting existing BI reports to multiple existing and new data sources that are disparate and complex; we anticipate a great deal of analysis and profiling will need to occur, and a substantial amount of logic will need to be built into the report code, due to the introduction of new data sources that will have minimal logic built in. ย 

As part of a major project within BCBSMN, this role is part of a work unit accountable for redirecting various existing BI Reports and/or Data Submissions and Assets (i.e. Data Views) to new data sources. This work involves highly complex analysis between the existing and new data sources which have multiple differences/grains. Work 'may' also include analysis of/rewriting Semantic Data Views to point to new data sources. The primary and key function is data analysis.

Accountabilities:

  • Directly and primarily responsible for highly complex and detailed healthcare data analysis between disparate sources, data profiling, and creating detailed source-to-target data mapping for redirecting/rewriting BI Reporting, including determining and applying necessary business, data quality and transformation rules; ensuring BI report rewrites using new and/or disparate data sources are minimally disrupted and satisfy business needs. In most cases, additional substantial complex logic will need to be built into the reports.
  • Point person for gathering and documenting detailed business and technical requirements; scheduling and leading discussions with business including requirements gathering, reviewing profiling results, approvals, BAT coordination and support
  • Accountable for contributing business definitions to metadata documentation
  • The BI Lead/Data Analyst is typically expected to also act as the lead for the work unit; ability to lead and motivate as well as assist in supporting/driving results (this is in addition to the primary responsibility of detailed analysis as noted above);
  • May also be responsible for analyzing and modifying existing and/or creating new semantic data views used by business users directly or as a source for reports.ย 
Qualifications

Base Qualifications:

  • Bachelor's Degree in Computer Science or related field and minimum of 6 years of experience related to the accountabilities outlined above
  • Proven history of performing high quality analysis/output/results within a fast-paced, complex healthcare setting
  • Proficiency in writing solid, efficient SQL to perform complex functions
  • Extensive experience in a data warehouse environment / data warehouse projects, primarily in complex data analysis to support complex reporting
  • Solid experience/solid performance in working with complex healthcare data (including multiple data domains)
  • Proven ability to work effectively through ambiguity and change; ability to identify and understand upstream and downstream dependencies
  • Demonstrated analytical and problem-solving skills; ability to design, evaluate and interpret complex data solutions
  • Demonstrated excellence in oral, written and presentation skills; ability to speak to both business and technical audiences effectively
  • Proven to be successful in a fast-paced project execution environment
  • Must be proactive; self-starter with history of ability to contribute and be productive very quickly following onboarding

Preferred/Added Value Qualifications:

Exposure/familiarity/experience with SAS; or experienced/expert in a BI data analyst role that also provided development solution in SAS in a healthcare payer organization

Exposure to agile-like deliveryย 

Additional Information
  1. Good comm skills are a big priority
  2. Duration: Long Term