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Data Jobs in Remote, OR (NOW HIRING)

Purpose of Role Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our Enterprise Data Management (EDM) organization. This role bridges business strategy and technical ...

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately held firms in fields ranging from institutional equity markets to digital investment news and ...

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the ...

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This role will lead solution design, data integration, CRM and marketing automation architecture, tracking, attribution, and system governance while partnering with cross-functional business and ...

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Data information

See Remote, OR salary details

$46K

$164.9K

$243.3K

How much do data jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data in Remote, OR is $164,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $169,800.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What are the most commonly searched types of Data jobs in Remote, OR? The most popular types of Data jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data jobs? Cities near Remote, OR with the most Data job openings:
Lead, Enterprise Data Analyst

Other

Medical, Retirement

Posted 7 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

20th of 104 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

Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our Enterprise Data Management (EDM) organization. This role bridges business strategy and technical analytics execution, supporting executive reporting and partnering with senior leaders to deliver the metrics and insights used to run a large-scale, global business. You will lead the discovery, design, and delivery of scalable reporting solutions and data products across multiple business domains, enabling leadership and business units alike to make better, more informed decisions. 

Operating as a senior individual contributor, you will lead cross-functional analytics initiatives end-to-end, coach analysts, and raise the bar for analytical best practices across the team - aligning every deliverable with Under Armour's enterprise-wide data strategy.

Your Impact
  • Lead cross-functional requirements discovery and end-to-end analytics delivery, translating business strategy and KPIs into scalable reporting solutions. 
  • Serve as a shared analytics resource across multiple business domains (Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, and more), aligning business requirements with data and analytical solutions. 
  • Manage the intake and prioritization of analytics requests, balancing competing demands and setting clear expectations on scope, deadlines, and deliverables. 
  • Build and maintain dashboards, reports, and reusable data products using Under Armour's standard BI tools, with an emphasis on clarity, reusability, and self-service insight. 
  • Drive innovation in how UA reports on the business - modernizing, simplifying, and scaling reporting solutions, including the use of AI to accelerate insight delivery. 
  • Coach and mentor analysts, drive analytical best practices, and own documentation and knowledge transfer across the EDM Center of Excellence. 
  • Work closely with project teams, enterprise developers, systems analysts, data scientists, and architects to deliver solutions aligned with the enterprise-wide data strategy. 
  • Monitor changes in the business and proactively recommend where analytics can further improve performance, synthesizing and presenting findings and project status to stakeholders and leadership. 
Qualifications
  • Bachelor's degree with typically 8 years of relevant experience or Master's degree with typically 6 years of relevant experience or typically 12 years of relevant work experience without degree.  
  • 8 years of experience in business intelligence, data analytics, or data strategy roles, with a track record of delivering reporting solutions that drive business decisions.  
  • Hands-on experience with AI tools such as Claude / Claude Code, Codex, Microsoft Copilot, and Snowflake Cortex Code (CoCo). 
  • Experience engaging across business areas: Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, Accounting, Product, HR, and Emerging Markets.  
  • Demonstrated ability to lead cross-functional analytics initiatives and manage intake and prioritization with limited oversight.  
  • Proficiency in BI and reporting tools such as Tableau and Power BI, along with SQL; experience with Snowflake, DBT, and the modern data stack is a plus. 
  • Experience creating functional and technical specification documents. 
  • Proven ability to express complex operational and technical concepts in business terms, with excellent verbal and written communication skills. 
  • Highly organized self-starter with strong analytical, planning, and problem-solving skills; comfortable managing multiple priorities in a fast-paced, dynamic environment. 
  • Experience coaching or mentoring analysts and championing analytical best practices. 
  • ERP experience is a plus. 
Workplace Location
  • Location: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required
  • Travel: Possible travel to regional offices, conferences, and trainings
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.
Relocation
  • No relocation provided
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Base Compensation

$100,000.00-$135,000.00 USD

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.


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