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Data Visualization Jobs in Montana (NOW HIRING)

Planning Engineer

Billings, MT · On-site

$66K - $143K/yr

... data visualization is a plusSelf-motivated team player that is capable of working independentlyEffective communication and interpersonal skillsEffective organizational skills and the ability to ...

New

... data visualization and reporting tools to present key insights and recommendations in a clear, actionable format. Other • Performs additional duties as assigned by the Director, Revenue or other ...

Utilize data visualization and reporting tools to present key insights and recommendations in a clear, actionable format. Other Performs additional duties as assigned by the Director, Revenue or ...

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Advanced proficiency in data analysis, reduction, and visualization tools such as Excel, MATLAB, Python , or similar. * Solid, in-depth Chemistry background with practical application experience.

Data Engineer

Helena, MT · On-site

$103K - $123K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Bozeman, MT · On-site

$123K - $148K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Showing results 41-60

Data Visualization information

See Montana salary details

$49.6K

$100.5K

$148.2K

How much do data visualization jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data visualization in Montana is $100,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $112,900.00 per year, depending on experience, location, and employer.

What is data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with increasing demand across industries.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a data visualization specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in explaining insights to non-technical stakeholders.
What are the most commonly searched types of Data Visualization jobs in Montana? The most popular types of Data Visualization jobs in Montana are:
What are popular job titles related to Data Visualization jobs in Montana? For Data Visualization jobs in Montana, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Montana look for? The top searched job categories for Data Visualization jobs in Montana are:
Infographic showing various Data Visualization job openings in Montana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,459 per year, or $48.3 per hour.

Membership Marketing Analyst

Rocky Mountain Elk Foundation

Missoula, MT • On-site

Full-time

Posted 27 days ago


Job description

Job Type
Full-time
Description
Membership Marketing 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 9.2 million acres, including improving public access to 1.6 million acres. Our impact will extend to 10 million acres by 2030.
RMEF is seeking a Membership Marketing Analyst to support our high-performing, multi-channel direct response program by driving growth through transforming member, supporter and campaign data into actionable strategies. This position is focused on direct response and marketing analytics across direct mail, email, events, paid social, SMS and CTV. Responsibilities include:
  • Campaign list development and segmentation
  • Performance reporting
  • Data-driven insights that support acquisition, retention, fundraising and revenue growth

This is an exciting opportunity to help shape the future of conservation in a dynamic, mission-driven environment.
Location:
RMEF's Membership Marketing Analyst position is based at RMEF's Headquarters office in Missoula, Montana full time.
Qualifications include:
  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Marketing or a related field, or equivalent experience.
  • 2-4 years of experience working with CRM or marketing databases in a direct response, fundraising, or membership environment.
  • Demonstrated experience supporting direct mail and/or digital marketing campaigns through data selection, segmentation, and reporting.
  • Experience working with NetSuite (or comparable CRM/ERP platforms) and Power BI or similar business intelligence tools preferred.
  • Experience with email marketing platforms (Klaviyo or equivalent) and paid social analytics tools (Meta Ads Manager, Google Ads) preferred.

Essential Functions:
  1. Build and deliver list pulls, selections, and suppressions for all direct mail and digital marketing campaigns, ensuring timelines and specifications are met. Serve as the primary point of contact for merge/purge coordination, co-op data exchanges, and data file delivery to mail production vendors.
  2. Develop and maintain audience segmentation strategies to support acquisition, renewal, fundraising, upgrade, and reactivation efforts.
  3. Analyze and report on digital direct response performance across email (Klaviyo), paid social (Meta, Google), SMS, and CTV - including deliverability, open and click rates, conversion, cost per acquisition, and revenue attribution.
  4. Produce recurring and ad hoc campaign reports, dashboards, and analyses to measure performance across mail and digital channels, across three tiers: (1) ongoing operational reporting on a fixed weekly and monthly cadence; (2) post-campaign results analysis per mail drop; and (3) strategic analytical work including ask array analysis, lifetime value analysis, and churn and retention reporting.
  5. Partner cross-departmentally to interpret results, identify trends, and recommend data-driven optimizations.
  6. Support campaign forecasting, revenue tracking, and post-campaign analysis for direct response initiatives.
  7. Support, as requested by supervisor, IT on data warehouse maintenance - including providing input on data requirements, contributing to QA processes, and transitioning reporting pipelines.
  8. Document SOP's for campaign workflows, and reporting standards to support consistency and continuity.
  9. Manage and maintain a formal record connecting campaign IDs, premiums, costs, and outcomes - ensuring financial and production data is auditable and not dependent on any single individual or working file.
  10. Ensure data handling practices align with organizational policies and applicable privacy and compliance requirements.

Additional Responsibilities:
  • Provide data support for drawings, seed tracking, and other compliance-related direct response activities.
  • Assist with proofing variable data and list logic for direct mail production when needed.
  • Perform other duties as assigned.

Supervision of Others
This position has no supervisory responsibilities.
Knowledge, Skills, Abilities
  1. Knowledge of and support for RMEF's mission, goals, and activities.
  2. Strong working knowledge of CRM systems used for membership and direct response marketing.
  3. Advanced proficiency in Excel and BI or data visualization tools (Power BI, Tableau, or similar). Ability to independently pull, interpret, and present data from email, paid social, and CRM platforms.
  4. Ability to interpret campaign performance metrics and translate data into actionable insights.
  5. Familiarity with digital direct response platforms and their native analytics tools (Klaviyo, Meta Ads Manager, Google Ads, or similar).
  6. High attention to detail with a strong commitment to data accuracy and quality.
  7. Ability to manage multiple deadlines and priorities in a fast-paced campaign environment.
  8. Strong communication skills with the ability to communicate across technical and non-technical teams.
  9. Demonstrates ability to manage projects independently while collaborating effectively across teams-proactively work with other staff to ensure timely, high-quality outcomes that meet organizational priorities.

Physical Requirements
  • The employee must sit or stand for long periods of time; use a computer terminal extensively; reach forward and to the side; bend from both standing and sitting positions; and lift items weighing up to 25 pounds occasionally.
  • This position operates in a professional office environment with standard office equipment.
  • The role requires extensive screen time and focused concentration for technical work.
  • Minimal travel may be required (less than 10% annually) for training, conferences, or vendor meetings.

The above is intended to describe the general content of and requirements for the performance of the job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements.