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Associate Data Analyst Jobs in Northfield, MN (NOW HIRING)

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Associate Data Analyst information

See Northfield, MN salary details

$35.7K

$86.9K

$143K

How much do associate data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for associate data analyst in Northfield, MN is $86,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

Is an associate data analyst in data analytics worth it?

An associate data analyst role provides foundational experience in data collection, analysis, and visualization using tools like Excel, SQL, and Tableau. It can lead to career growth in data analytics or related fields, with entry-level salaries typically ranging from $50,000 to $70,000 annually depending on location and industry. Gaining certifications such as Microsoft Data Analyst Associate can enhance job prospects and earning potential.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

Can I be an associate data analyst with no experience?

Entry-level associate data analyst positions often do not require prior experience and may focus on foundational skills such as Excel, SQL, or basic data visualization. Candidates with relevant coursework, certifications, or strong analytical aptitude can qualify even without professional experience.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

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

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Northfield, MN? The most popular types of Data Analyst jobs in Northfield, MN are:
What cities near Northfield, MN are hiring for Associate Data Analyst jobs? Cities near Northfield, MN with the most Associate Data Analyst job openings:
Infographic showing various Associate Data Analyst job openings in Northfield, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $86,866 per year, or $41.8 per hour.

Senior Data Business Analyst

Hollstadt & Associates

Bloomington, MN • On-site

$96.43 - $107.45/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you’ll work with a refreshingly real company led and staffed by seasoned experts who are also down-to‑earth, good people. We’re committed to treating you with respect and helping you achieve your career aspirations.

Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Hollstadt Consulting and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel at any time.

Job Description

Role: Senior Data Business Analyst

Location: Hybrid in Bloomington, MN preferred; approximately 1‑2 days onsite per week

Employment Type: Six‑month contract-to-hire

Citizenship Requirement: Must be a U.S. citizen

Target Start: Around 9/7/2026

Rate: $70-$78/hour W2

Position Overview

The Senior Data Business Analyst will join a growing IT data, analytics, and AI organization within a highly technical semiconductor manufacturing company. The organization is building out its business intelligence, data, and integration capabilities while also navigating a major acquisition and increasingly complex data‑separation, security, and access requirements.

This individual will serve as a critical bridge between business stakeholders, manufacturing teams, data engineering, enterprise IT, AI teams, and technical leadership. The immediate focus will be understanding the company’s legacy data environment, documenting how information is used and owned, defining security and access requirements, and helping prioritize the systems and datasets that must be remediated, migrated, integrated, or replaced.

This is not a narrowly defined requirements‑gathering position. The successful candidate will be expected to investigate ambiguous problems, challenge outdated assumptions, facilitate decisions, and help establish a more mature and scalable data operating model.

Key Responsibilities
  • Partner with business, manufacturing, enterprise IT, AI, and data stakeholders to understand business processes, systems, data usage, and reporting needs.
  • Conduct discovery across legacy applications, databases, data warehouses, data marts, and manufacturing systems.
  • Document data sources, definitions, ownership, business purpose, sensitivity, security requirements, and downstream dependencies.
  • Help identify data that belongs to customers or other external parties and define appropriate access and segregation requirements.
  • Translate business, regulatory, customer, and security needs into clear data requirements and actionable technical work.
  • Facilitate discussions to determine who should have access to specific systems and datasets and under what conditions.
  • Help classify data into appropriate categories, such as public, internal, private, confidential, or restricted.
  • Support the assessment and prioritization of legacy systems to determine which can be remediated, which require migration, and which should ultimately be replaced.
  • Create current‑state and future‑state process flows, data mappings, requirements, user stories, acceptance criteria, and decision documentation.
  • Partner with data engineers and architects on the evolution of the company’s data lakes, warehouses, marts, and reporting environment.
  • Support initiatives to bring currently disconnected data into the enterprise data ecosystem.
  • Help ensure data is appropriately structured and governed so technical teams can implement row‑level security and access‑management controls.
  • Provide light project coordination by tracking decisions, dependencies, risks, action items, and progress across stakeholders.
  • Help establish repeatable business‑analysis and data‑governance practices as the team continues to grow.
Required Qualifications
  • Strong experience as a Business Analyst working on data, analytics, business intelligence, data‑governance, data‑conversion, or enterprise data initiatives.
  • Demonstrated ability to investigate complex data environments and translate business needs into technical requirements.
  • Experience documenting data sources, ownership, lineage, definitions, classifications, integrations, or access requirements.
  • Ability to communicate effectively with technical engineers, business leaders, manufacturing stakeholders, and senior leadership.
  • Strong analytical skills and the ability to determine root causes rather than accepting incomplete or outdated explanations.
  • Experience working in environments where processes, requirements, and ownership are not yet fully defined.
  • Ability to independently drive discovery, decisions, and follow‑through.
  • Willingness to work at both the strategic and detailed execution levels.
  • U.S. citizenship, including the ability to enter the federally governed Bloomington facility.
Preferred Qualifications
  • Semiconductor, high‑tech manufacturing, precision manufacturing, medical‑device, aerospace, automotive, or another highly regulated manufacturing background.
  • Experience with legacy‑system modernization, data classification, data security, access management, or data segregation.
  • Familiarity with SQL databases, data lakes, data warehouses, data marts, business intelligence, or AI/analytics environments.
  • Experience supporting mergers, acquisitions, divestitures, or environments requiring strict separation of customer and company data.
  • Experience working in a lean organization where individuals must operate across traditional role boundaries.
Success Profile

The strongest candidate will be hungry, curious, assertive, and comfortable asking difficult questions while remaining collaborative and professional. This person should know how to keep momentum moving, take sensitive conversations offline when appropriate, and continue pursuing answers until decisions are made. Candidates accustomed to highly specialized roles within very large, heavily staffed organizations may find the environment challenging; success will require rolling up one’s sleeves and personally driving the work.

Why This Opportunity

The organization operates at the forefront of semiconductor manufacturing, including quantum computing, military and commercial space technology, autonomous‑vehicle components, and medical‑device applications. The Data Business Analyst will help establish foundational data capabilities while supporting initiatives tied directly to manufacturing performance, customer protection, advanced analytics, and potentially significant business value.

Remarketing Process

Hollstadt is based on retention and relationships. We get to know your strengths and career wishes throughout your assignment and then start remarket discussions 6‑8 weeks prior to your end date. By being proactive, we are able to keep your down time between assignments as short as possible, unless you choose otherwise.

Benefits
  • Hollstadt offers medical, dental, vision, life insurance, short‑term disability, long‑term disability, paid sick leave, and retirement benefits to eligible employees.
  • Hollstadt offers on‑demand training through our consultant portal. Trainings give our consultants the continuing education they need to excel on their projects. Many of our courses apply towards continuing education credits and we have an entire training hub dedicated to upskilling in Artificial Intelligence (AI).
  • One popular benefit is our 401(k) match on the first 4% of your contributions. Hollstadt wants to help you reach your long‑term financial goals and understands that planning for your future is critical. Consultants also have access to support from a Financial Advisor.
  • We appreciate and reward loyalty. Join Hollstadt, stay for 5 years, and we’ll give you a $5,000 Longevity Award bonus! Additionally, we know great talent knows other great talent. If you are on contract with Hollstadt and refer one of your connections who gets placed, we’ll pay you $1,000!
  • We have made a significant investment in building a support program for our consultant team - so you never have to feel like you are going it alone. We also have a Consultant Coach program which acts like a 'work buddy' to provide a safe ear for questions or concerns at your client site.
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