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Apprentice Data Analyst Jobs in Minnesota (NOW HIRING)

Atomic Data

Financial Analyst

Minneapolis, MN · On-site

This role is well-suited for someone who enjoys translating financial and operational data into ... apprenticeship. We will provide reasonable accommodation to applicants and employees with ...

Autodesk

... data-driven insights * Research and analyze workforce, labor market, policy,training,and ... Identifyopportunities tied to workforce funding, grants, apprenticeship programs, and continuing ...

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All JobsApprentice Data Analyst JobsApprentice Data Analyst Jobs in Minnesota

Apprentice Data Analyst information

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$12

$32

$60

How much do apprentice data analyst jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for apprentice data analyst in Minnesota is $32.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $36.01 per hour, depending on experience, location, and employer.

Is a data analyst apprenticeship worth it?

A data analyst apprenticeship provides hands-on experience, industry-specific skills, and often leads to job opportunities after completion. It can be a valuable pathway for gaining practical knowledge of tools like Excel, SQL, and data visualization software while earning a salary during training.

Is 40 too late for data science?

For an Apprentice Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in life by developing relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Success depends on dedication, skill development, and practical experience rather than age alone.

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

To thrive as an Apprentice Data Analyst, you need foundational skills in mathematics, data interpretation, and a basic understanding of statistics, often supported by coursework or relevant certifications. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically expected. Strong analytical thinking, attention to detail, and effective communication help you interpret findings and present insights clearly. These skills are crucial for transforming raw data into actionable information that supports business decision-making.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts need skills in data visualization, statistical analysis, and domain knowledge, which are not easily replaced by AI. As AI advances, data analysts will increasingly focus on higher-level analysis and decision-making that require human judgment.

What are apprentice data analysts?

Apprentice data analysts are entry-level professionals who assist in collecting, processing, and analyzing data under the supervision of more experienced analysts. They typically work as part of a training program or apprenticeship to gain hands-on experience in data analysis, using tools like Excel, SQL, or Python. Their responsibilities may include preparing reports, visualizing data, and supporting business decision-making, all while learning essential data skills on the job.

Is 27 too old for an apprenticeship?

There is no age limit for an apprentice data analyst; many programs welcome individuals of various ages. Employers value skills, motivation, and willingness to learn, so being 27 is generally not a barrier to starting an apprenticeship in data analysis.

What are some common challenges faced by Apprentice Data Analysts during their first few months on the job?

Apprentice Data Analysts often face challenges such as getting familiar with new data tools and software, understanding the organization's specific data processes, and learning how to clean and interpret large datasets. Additionally, adapting to a fast-paced environment where priorities can shift quickly can be challenging. Close collaboration with senior analysts and proactively seeking feedback are essential for overcoming these hurdles and building confidence in your analytical skills.

What is the difference between Apprentice Data Analyst vs Junior Data Analyst?

AspectApprentice Data AnalystJunior Data Analyst
Required CredentialsBasic knowledge, often in training or courseworkSome experience or entry-level certifications
Work EnvironmentTraining programs, supervised settingsEntry-level roles in teams, more independent tasks
Employer & Industry UsageInternships, apprenticeships, entry-level programsFull-time entry-level positions in various industries
Comparison Search IntentLearning about entry-level or training rolesSeeking job opportunities or role clarification

The main difference between an Apprentice Data Analyst and a Junior Data Analyst lies in experience and training. Apprentices are typically in training programs or internships, gaining foundational skills under supervision. Junior Data Analysts are usually more experienced, performing entry-level tasks independently. Both roles serve as stepping stones into the data analysis field, but apprentices focus on learning, while juniors focus on applying skills in real-world projects.

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 are popular job titles related to Apprentice Data Analyst jobs in Minnesota? For Apprentice Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Apprentice Data Analyst jobs in Minnesota look for? The top searched job categories for Apprentice Data Analyst jobs in Minnesota are:
Apprentice Data Analyst jobs near you
Infographic showing various Apprentice Data Analyst job openings in Minnesota as of June 2026, with employment types broken down into 77% Full Time, 6% Part Time, and 17% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $67,077 per year, or $32.2 per hour.
Financial Analyst

Financial Analyst

Atomic Data

Minneapolis, MN • On-site

Full-time

Posted 22 days ago

Job description

Description:

Department: Accounting & Finance

Reports to: Chief Financial Officer (CFO)


Job Summary

The Financial Analyst position serves to support financial planning, operational analysis, and strategic decision-making across Atomic Data. This role works closely with our Finance, Operations, and Leadership teams to improve visibility into company performance, strengthen forecasting and reporting processes, and help guide data-informed business decisions.

The ideal candidate combines strong analytical skills with attention to detail, systems thinking, and a proactive mindset for improving processes and operational efficiency. This role is well-suited for someone who enjoys translating financial and operational data into actionable insights.


Essential Functions

  • Support monthly, quarterly, and annual financial reporting and analysis
  • Assist with budgeting, forecasting, and long-range financial planning
  • Develop and maintain financial models related to revenue, staffing, utilization, and profitability
  • Analyze operational and financial performance trends and communicate insights to leadership
  • Partner with business leaders to evaluate project, service line, and client profitability
  • Assist with pricing analysis, margin analysis, and scenario modeling
  • Improve and automate reporting, financial workflows, and data collection processes
  • Help maintain financial documentation, reporting standards, and internal procedures
  • Support audits, reconciliations, and financial compliance activities as needed
  • Build dashboards and reporting tools that improve visibility into key business metrics
  • Collaborate cross-functionally with Operations, Delivery, Sales, and Leadership teams
  • Protect sensitive financial and business information through strong confidentiality practices
  • Contribute to special projects and strategic initiatives across Finance and Operations


Requirements:
  • Bachelor’s degree in Finance, Accounting, Economics, Business, or related field
  • 1+ years of experience in financial analysis, accounting, consulting, or related analytical work
  • Strong proficiency in Excel and financial modeling
  • Experience working with accounting, ERP, BI, or financial reporting systems
  • Strong analytical, organizational, and problem-solving skills
  • Ability to communicate financial concepts clearly to technical and non-technical audiences
  • Experience improving workflows, automation, or operational reporting processes preferred
  • Comfortable working in a collaborative, fast-moving, consulting-oriented environment
  • High attention to detail and commitment to accuracy


Preferred:

  • Experience in professional services, consulting, or technology organizations
  • Familiarity with utilization forecasting, resource planning, or project-based financial analysis
  • Experience utilizing data analytics tools in a professional environment
  • Exposure to SaaS metrics, forecasting models, or operational KPIs


Our Core Values

At Atomic Data, our core values define who we are and how we work together to create meaningful impact. These values guide our actions, decisions, and interactions, fostering a culture of collaboration, growth, and purpose. The following values are what allow us to create a “People First Culture” at Atomic Data:

  • Good Human

We believe in building a community of trust, kindness, and respect.

  • Curious Learner

A relentless curiosity drives us to grow and innovate.

  • Driven to Solve

We approach challenges with determination and a focus on results.

  • Make a Difference

We strive to leave a positive mark on our company, community, and the world.


We are seeking individuals who not only share these values but also actively embody them in their work and interactions. Join us in creating a culture of purpose and impact at Atomic Data.


Atomic Data provides equal employment opportunities to all employees and applicants for employment in accordance with all applicable laws, directives, and regulations of federal, state, and local governing bodies or agencies. Our organization will not discriminate against or harass any employee based on actual or perceived race, color, creed, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, familial status, veteran status, sexual orientation, gender identity, genetic information, status regarding public assistance, membership or activity in a local human rights commission activity, or any other characteristic protected by applicable federal, state, or local laws. Atomic Data will take affirmative steps to ensure that all our employment practices are free of discrimination. Such employment practices include, but are not limited to, the following: hiring, promotion, demotion, transfer, recruitment or recruitment advertising, selection, layoff, disciplinary action, termination, rates of pay or other forms of compensation, and selection for training, including apprenticeship. We will provide reasonable accommodation to applicants and employees with disabilities whenever possible. In addition, all employees are expected to perform their essential functions in a manner that supports equal employment opportunities.


Any employee or applicant for employment who believes they have been treated in a way that violates this policy should contact Human Resources. Human Resources will take immediate action to investigate and address allegations of discrimination or harassment confidentially and promptly.