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Entry Level Data Analysis 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 · 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 ...

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

Entry Level Data Analysis information

See Boardman, OR salary details

$12

$32

$60

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

As of Aug 16, 2026, the average hourly pay for entry level data analysis 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 is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are popular job titles related to Entry Level Data Analysis jobs in Boardman, OR?

For Entry Level Data Analysis jobs in Boardman, OR, the most frequently searched job titles are:

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

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

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

Cities near Boardman, OR with the most Entry Level Data Analysis job openings:

Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis 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

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 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 

$90,000 - $120,000 a year
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.
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