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Data Analyst Jobs in Montana (NOW HIRING)

You will lead a team of analysts that work on activation, engagement, and profitability , helping ... Develop data visualizations and reports that are both informative and easily understood by business ...

$22 - $24/hr

Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics, Management Information Systems, or Management with a Finance/Accounting focus * Minors: Data Science or ...

$22 - $24/hr

Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics, Management Information Systems, or Management with a Finance/Accounting focus * Minors: Data Science or ...

$22 - $24/hr

Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics, Management Information Systems, or Management with a Finance/Accounting focus * Minors: Data Science or ...

$22 - $24/hr

Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics, Management Information Systems, or Management with a Finance/Accounting focus * Minors: Data Science or ...

$22 - $24/hr

Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics, Management Information Systems, or Management with a Finance/Accounting focus * Minors: Data Science or ...

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Data Analyst information

See Montana salary details

$31.2K

$75.9K

$124.8K

How much do data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analyst in Montana is $75,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $89,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Montana?

The most popular types of Data Analyst jobs in Montana are:

What are popular job titles related to Data Analyst jobs in Montana?

For Data Analyst jobs in Montana, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Montana look for?

The top searched job categories for Data Analyst jobs in Montana are:

What cities in Montana are hiring for Data Analyst jobs?

Cities in Montana with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Montana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $75,851 per year, or $36.5 per hour.

Geospatial Data Analyst

Rocky Mountain Elk Foundation

Missoula, MT โ€ข On-site

Full-time

Re-posted 18 days ago


Job description

Job Type
Full-time
Description
Geospatial Data Analyst
The Rocky Mountain Elk Foundation (RMEF) is a mission-driven non-profit dedicated to ensuring the future of elk, other wildlife, their habitat and our hunting heritage. Since our founding in 1984, we have helped conserve nearly one square mile of elk country every day. In partnership with others, we have conserved or enhanced more than 9.1 million acres, including improving public access to 1.6 million acres. Our impact will extend to 10 million acres by 2030. RMEF is proud of our conservation successes and is committed to making an even larger impact in the future.
RMEF is seeking an experienced professional to serve as the organization's central geospatial resource, responsible for collecting, managing, analyzing, and visualizing spatial data to advance RMEF's operations, mission, and strategic goals. Responsibilities include:
  • Designing and maintaining a centralized GIS architecture
  • Developing standardized workflows
  • Producing high-quality maps, applications, and analyses that support mission delivery, storytelling, advocacy, fundraising, membership growth, and executive decision-making

This is an exciting opportunity to help shape the future of conservation in a dynamic, mission-driven environment.
Qualifications include:
โ€ข Bachelor's degree is required in geography, GIS, natural resource management, or a closely related field
โ€ข Minimum of five years' experience with geospatial analysis, GIS data management, and cartography is required, preferably within a wildlife conservation or natural resources context
โ€ข Demonstrated experience with cartographic design, interactive mapping, or geospatial storytelling preferred
Location: This position is based at RMEF's Headquarters office in Missoula, Montana and requires fulltime on-site work.
Essential Functions:
1. Geospatial Data Governance + Standards : Design, implement, and maintain RMEF's centralized GIS data structure in conjunction with organizational data governance. Establish and document standards for geospatial data collection, storage, access, naming conventions, metadata, quality control, and versioning. Ensure spatial datasets are consistent, sustainable, and usable across departments and systems. Work across departments to promote consistent, standardized use of GIS tools and data. Develop documentation, workflows, and training resources to improve GIS literacy and enable non-technical staff to effectively access organizational data through GIS tools.
2. Geospatial Data Management + Integration : Collect, manage, maintain, and validate internal and external datasets critical to mission delivery and organizational planning. Engage with agency and industry partners to research, acquire, and steward key datasets, including parcel data, conservation easements, habitat and wildlife layers, proprietary partner layers, and access-related information. Identify and integrate GIS data with internal systems, NetSuite, and workflows, including mission, grants, membership, marketing, and development data, to support reporting, analysis, and compliance needs.
3. Mapping, Visualization + Design : Create high-quality static and interactive maps, dashboards, and web-based GIS applications that clearly communicate RMEF accomplishments, opportunities, and future direction. Apply strong cartographic design principles to ensure clarity, accuracy, and visual impact in line with RMEF brand standards. Collaborate with the Brand + Communications and Marketing + Partnerships departments to support storytelling, donor engagement, and public-facing communications through compelling visual products.
4. Mission Support : Provide direct geospatial support to Mission projects, including creation of project maps, access analysis, parcel research, and grant applications. Support conservation planning, project selection, and development by supplying spatial research, analysis, and visualization that strengthens decision-making and documentation.
5. Evolving Technology + Modernization : Maintain and administer GIS software, tools, licenses, and supporting infrastructure in coordination with Internal Operations staff. Stay current on emerging GIS technologies, visualization techniques, and best practices, recommending and implementing improvements that increase analytical capacity, efficiency, and organizational value.
6. Additional Responsibilities : Maintain relevant GIS certifications and pursue ongoing professional development. Coordinate with external partners and vendors as needed. Serve as backup support for other members of the department as needed. Perform other work as required.
Supervision of Others:
This position does not have direct supervisory responsibilities.
Education and Experience:
A bachelor's degree is required in geography, GIS, natural resource management, or a closely related field. A minimum of five years' experience with geospatial analysis, GIS data management, and cartography is required, preferably within a wildlife conservation or natural resources context. Demonstrated experience with cartographic design, interactive mapping, or geospatial storytelling preferred.
Knowledge, Skills, Abilities:
  1. Knowledge and support of RMEF's mission, goals, and activities, and ability to promote them.
  2. Strong knowledge of GIS principles, spatial analysis techniques, and geospatial data management.
  3. Proficiency in creating high-quality maps and dynamic maps using sound cartographic design principles.
  4. Knowledge of wildlife management, habitat management, land conservation, and access-related spatial data.
  5. Working knowledge of real estate transactions, including title work and proficiency in reading legal descriptions, to support accurate spatial data interpretation and creation.
  6. Demonstrated experience designing and maintaining geospatial data structures, standards, and workflows.
  7. Ability to translate complex spatial data into clear, compelling visual products for technical and non-technical audiences.
  8. Working knowledge and understanding of accounting, Microsoft Office, and relational databases.
  9. Exceptional attention to detail and accuracy.
  10. Strong analytical, critical thinking, and problem-solving skills with sound judgment.
  11. Ability to meet deadlines, set priorities, and work within a dynamic, changing environment.
  12. Ability to work independently while functioning effectively in a team environment.
  13. Strong customer service ethic and professional demeanor.

Physical Demands:
The employee must sit or stand for long periods of time; use a computer terminal; reach forward and to the side; bend from both standing and sitting position; and lift items of light and medium weight. Travel by automobile, airplane, foot, or mechanized ORV may be required. Travel may include overnight and weekend trips.