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Data Analyst Jobs in Remote, OR (NOW HIRING)

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and ...

Sr. Data Analytics Engineer

OR · Remote

$117K - $140K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and ...

Data Analyst information

See Remote, OR salary details

$34K

$82.6K

$135.9K

How much do data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 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 Remote, OR?

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

What cities near Remote, OR are hiring for Data Analyst jobs?

Cities near Remote, OR with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $82,559 per year, or $39.7 per hour.

Sr. Data Analytics Engineer

Under Armour

OR • On-site, Remote

$107K - $128K/yr

Full-time

Medical, Retirement

Re-posted 13 days ago


Key responsibilities

  • Design, develop, test, and implement data models, visualizations, and reporting solutions to support business decision-making.

  • Build and maintain dashboards, aggregate data models, and manage data flow to meet business requirements.

  • Collaborate with cross-functional teams to gather requirements, troubleshoot data issues, and support the data warehouse and reporting infrastructure.


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

24th of 105 rated fashion retailers


Job description

Values & Innovation
At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.
Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.
Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.
If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here.
Purpose of Role
  • Provide quality and performant data modeling and visualizations solutions to our cross functional business units which represent the mantra, "Business First; Technology Second."
  • As part of a results-oriented team, participate in the design, implementation, maintenance and support of our modernized data platform to enable the business to make better, more informed decisions.
  • Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within Enterprise Data. Management Organization to help define, develop and implement solutions and provide services for the enterprise applications.
  • Model, design, develop, test and implement the appropriate backend and front-end structures needed to meet business visualization and reporting requirements.
  • Leverage industry-leading integration and analytics tools to build a modern data warehouse that is accurate, reliable, high performing and easily accessible to our business departments.
  • Build dashboard to follow wireframes designs, integrate with backend data models. Build aggregate data models. Manage the data flow to reflect in dashboards to meet business requirements.
  • Data formatting and processing to build the foundation layer for dashboards and self-service reporting. Work on data transformation, using the ETL tools. Build dimension views and fact tables.
  • Interact with the client business community to gather/develop functional and technical requirements and translate them into reporting solutions.
  • Responsible for the full life cycle of development, from requirements gathering through data transformation coding and report/dashboard design and creation.
  • Follow development standards in accordance with UA best practices.
  • Work with Enterprise Data Analysts team to clarify functional requirements and create the TSD's.
  • Data formatting and processing to build the foundation layer for dashboards and self-service reporting.
  • Troubleshoot data anomalies with engineering teams.
  • Work on data transformation, using the ETL tools. Build dimension views and fact tables.
  • Responsible for daily support of the data warehouse and associated data marts.
  • Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and access is optimal for our global reporting solutions.
  • Work collaboratively to align business requirements with reporting and analytical solutions.
  • Improve processes regarding data flow and quality to improve data accuracy, viability and value.
  • Document development for peer reference and knowledge transfer.
  • Interact with the client business community to gather/develop functional and technical requirements and translate them into visualization solutions.
  • Educate and empower the business community towards self-serve reporting model.
  • Other duties as assigned within area of responsibility.

Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Information Systems or related technical field. Followed by 5 years of progressively responsible experience in a Software Engineering role (e.g. Project Lead, Senior Software Engineer, Software Engineer, etc.).
  • 2 years of experience developing and supporting the SAP HANA, Business Objects, and SAC platform stack to ensure performance, process, access is optimal for the global reporting solution.
  • 2 years of experience in Technical design of Data Modelling for SAC Analytics to Support the ongoing Business requirements formulation process for Enterprise Business Analytics operations.
  • 3 years of experience in design and development of analytical queries, reports and visualizations utilizing the Tableau Platform.
  • 2 years of Experience with dbt as a data orchestration tool.
  • 2 years of experience working in CICD framework.
  • 2 years of experience with Snowflake VWH and data modeling.
  • Demonstrated knowledge* of:
    • HVR replication for data ingestion.
    • Python and Java programming.
    • Fundamental data architecture and design.
    • SQL and strong data transformation.

*Knowledge may be demonstrated through education, training and/or experience
Workplace Location
  • Location: Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and international travel

Sponsorship Eligibility: (US ONLY) UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.
Relocation
  • No relocation provided

Base Compensation
$165,564.00 to $188,089.20 per year
Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.
Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being

Our Commitment to Equal Opportunity
At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.
Requisition ID: 166263
Location:

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