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Entry Level Data Analyst Jobs in Boardman, OR (NOW HIRING)

Mantis Innovation

Building Controls Tech I

Umatilla, OR · Hybrid

$90K - $120K/yr

... build entry-level PLC/Ignition capability in the Umatilla, OR area to support Sabey data center ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Mantis Innovation

Building Controls Tech I

Umatilla, OR · On-site

$90K - $120K/yr

... build entry-level PLC/Ignition capability in the Umatilla, OR area to support Sabey data center ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Mantis Innovation

Building Controls Tech I

Umatilla, OR · Hybrid

$90K - $120K/yr

... build entry-level PLC/Ignition capability in the Umatilla, OR area to support Sabey data center ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Boardman, OR

Entry Level Data Analyst information

See Boardman, OR salary details

$12

$32

$60

How much do entry level data analyst jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for entry level data analyst in Boardman, OR is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $35.96 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
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What are the most commonly searched types of Data Analyst jobs in Boardman, OR?

The most popular types of Data Analyst jobs in Boardman, OR are:

What job categories do people searching Entry Level Data Analyst jobs in Boardman, OR look for?

The top searched job categories for Entry Level Data Analyst jobs in Boardman, OR are:

What cities near Boardman, OR are hiring for Entry Level Data Analyst jobs?

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Boardman, OR as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,980 per year, or $32.2 per hour.

Building Controls Tech I

Mantis Innovation

Umatilla, OR • Hybrid

$90K - $120K/yr

Full-time

Re-posted 19 days ago

Job description

Mantis Innovation provides managed facility services and turnkey program management with technology-enabled solutions that target the entire building footprint. We look at the entire facility—inside and out—and can impact 70% of what a building operator allocates critical budget dollars toward, including: Strategic electricity and natural gas procurement, renewable energy, and demand response; climate impact reduction and reporting, net zero strategies, and sustainability planning; roofing, solar, HVAC assessment management, pavement, building envelope, data center optimization, and EV charging; lighting/LED retrofits, HVAC/mechanical systems, and BMS/BAS improvements and implementation.

This role exists to build entry-level PLC/Ignition capability in the Umatilla, OR area to support Sabey data center projects and ongoing service work. It ensures projects stay on track by providing reliable field support while developing into an independent technician over time.  
OUTCOMES
  • Ramp into PLC/Ignition work within 90-120 days and contribute to active project tasks
  • Support senior technician on installation, startup, and troubleshooting with 90%+ task completion accuracy within first 60 days
  • Complete assigned work with < 5% rework or correction required
  • Take ownership of defined task scopes independently within 4-6 months
  • Completed assigned work on schedule 95%+ of the time with no delays caused to project timelines
  • Demonstrate strong work ethic, reliability, and coachability in a field-based environment 
RESPONSIBILITIES
  • Execute installation of control system components including wiring, panels, sensors, and devices
  • Perform point-to-point checkouts, calibration, and system validation in field environments
  • Execute assigned commissioning and startup tasks in data center environments
  • Diagnose basic hardware, wiring, and system issues and escalate when required
  • Complete assigned work scopes accurately and within defined timelines
  • Maintain complete, accurate, and timely documentation of all work performed and test results
  • Read and interpret control drawings and schematics to execute field work
  • Coordinate directly with senior technicians, subcontractors, and project teams on-site
  • Follow all safety, site, and compliance requirements without exception
  • Build and demonstrate increasing proficiency in PLC/Ignition systems through hands-on execution 
MINIMUM QUALIFICATIONS
  • Mechanical or electrical aptitude
  • Willingness and ability to learn PLC/Ignition systems
  • Ability to execute assigned work reliably in field-based environments
  • Willingness to be located within driving distance of Umatilla and travel as required 
WORKING CONDITIONS/PHYSICAL REQUIREMENTS

  • Work environment: Field-based across active construction sites and operational data center environments 

  • Physical requirements: 

  • Standing, walking, climbing ladders, and working in mechanical spaces 

  • Lifting tools and equipment (up to ~50 lbs.) 

  • Working in variable environmental conditions 

  • Schedule expectations:  

  • Travel required within PNW region 

  • May require extended or non-standard hours based on project demands 

The above pay range is Total Cash; a combination of base salary (dependent upon experience/Tech level) and additional bonus potential through internal programs (annual bonus, living expenses, profit sharing).
Note: Employees are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position.
 
What else can we offer you?
We offer a fantastic lineup of benefits, including Medical, Dental, Vision, FSA, HSA, 401k Matching, Paid Vacation, Paid Sick, Paid Holidays, Paid Parental Leave, Paid Short Term & Long Term Disability, Tuition Reimbursement, and a flexible hybrid work schedule (for office-based employees). Working at Mantis also brings tremendous professional development opportunities that allow you to make a real impact on both the company and your career!
 
Not sure you meet every single requirement?
Studies show that women and individuals from underrepresented groups often hesitate to apply unless they check every box. At Mantis, we’re committed to building an inclusive and equitable team—so if this role excites you, we’d love to hear from you, even if your experience doesn’t match every single qualification.
 
Mantis Innovation is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.