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

The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) is seeking a skilled and seasoned Data and Software Programmer to support a team conducting data ...

Data Solutions Architect

Virginia, MN · On-site

$120 - $150/hr

Influence data owners, modelers, engineers, and analysts to recommend relevant solutions. * Define ... Developed innovative architectural designs for large commercial enterprises (5000+ associates)

CASP+ CE, CCNA-Security, CISSP (or Associate), CND, CSSLP, CySA+, GICSP, GSEC, Security+ CE, or ... Practical experience querying/extracting data from Active Directory and/or a CMDB. * Familiarity ...

... associate experiences that build our brand with humanity and drive business advantage. As the User ... Partner with CX, data scientists, analysts, and designers to identify domain-specific UX metrics ...

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Associate Data Analyst information

See Hibbing, MN salary details

$33.4K

$81.3K

$133.8K

How much do associate data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for associate data analyst in Hibbing, MN is $81,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,400.00 per year, depending on experience, location, and employer.

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 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.

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 is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What cities near Hibbing, MN are hiring for Associate Data Analyst jobs?

Cities near Hibbing, MN with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Hibbing, MN as of August 2026, with employment types broken down into 67% Full Time, 13% Part Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,298 per year, or $39.1 per hour.

Cyber Data Analyst / Active Top Secret

Peraton

Virginia, MN • On-site

$120 - $180/hr

Other

Posted 6 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 225 rated it services


Job description

Minimum Requirements:
  • Bachelor's degree and minimum 9 years experience; 7 Years with Masters; 4 Years with PhD.
    • An additional four (4) years of experience may be substituted in lieu of the bachelors degree requirement.
  • Must possess or be able to obtain one of the following certification before start date. Continued certification required as a condition of employment:
    • CySA+, CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, GCED, GCIH, GICSP, SSCP
  • Minimum 2 years of coding experience (any programming language).
  • Minimum 2 years of experience in cybersecurity or data analytics.
  • Foundational cybersecurity knowledge or foundational understanding of network and host telemetry.
  • Experience developing dashboards and reports using Power BI, Tableau, or similar tools.
  • Ability to communicate analytical findings clearly to technical and non‑technical audiences.
  • U.S. citizenship required.
  • Active Top Secret security clearance with the ability to obtain TS/SCI.
Preferred Qualifications:
  • Two (2) or more years of hands‑on experience with Python or SQL.
  • Experience working with Python/Pandas for data transformation, automation, and analytics.
  • Experience supporting cybersecurity operations, threat analysis, or security monitoring.
  • Experience with large‑scale operational or cybersecurity datasets.
  • Experience building automated reporting pipelines or analytics workflows.
  • Experience using data visualization tools to support leadership reporting and operational decision‑making.
  • Familiarity with supervised and unsupervised machine learning concepts.

Peraton is seeking an experienced Data Analyst/Cyber Analytics professional to support our Federal Strategic Cyber (FSC) Program within the Cyber & Intelligence Sector.

Location: On‑site in Arlington, VA.

In this role, you'll work with large‑scale cybersecurity and operational datasets to uncover trends, identify emerging threats, and deliver insights that drive mission‑critical decisions. You'll collaborate with cybersecurity engineers, threat analysts, and program leaders to transform complex data into meaningful intelligence that strengthens national security operations.

This is an excellent opportunity for a data professional who enjoys combining analytics, automation, visualization, and cybersecurity to solve real‑world challenges in a high‑impact federal environment.

What You’ll Do:

  • Analyze cybersecurity and operational datasets (e.g., network logs, authentication data, phishing activity, threat telemetry) to identify trends, anomalies, and patterns.
  • Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar platforms to support operational and leadership reporting.
  • Perform data extraction, validation, cleansing, transformation, and enrichment using Python (Pandas) and SQL.
  • Support recurring reporting and analytics workflows by automating manual processes and improving data quality checks.
  • Conduct exploratory data analysis to support operational monitoring, situational awareness, and decision‑making.
  • Collaborate with cybersecurity analysts and stakeholders to translate business and operational requirements into data‑driven insights.
  • Develop and maintain metrics related to cyber activity, authentication trends, phishing events, and external threat activity.
  • Assist with identifying reporting gaps, data inconsistencies, and opportunities for process improvement.
  • Document data sources, reporting methodologies, business rules, and analytical processes to support transparency and repeatability.
  • Support ad hoc reporting requests and operational data analysis efforts.
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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017