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Data Analytics Jobs in Dallas, OR (NOW HIRING)

Experience employing data governance techniques to facilitate data analysis, program evaluation, and other methods of drawing insights using data * Experience convening and working with diverse ...

Principal Data Steward

Salem, OR · On-site

$7.5K - $11K/mo

Experience employing data governance techniques to facilitate data analysis, program evaluation, and other methods of drawing insights using data * Experience convening and working with diverse ...

Data Architect

Salem, OR · On-site

$64 - $82.50/hr

Analyze data in legacy and production databases. Write scripts to remediate data in test and production system. Additional Information

DATA ARCHITECT

Salem, OR · On-site

$64 - $82.50/hr

Analyze Data In Legacy And Production Databases. * Write Scripts To Remediate Data In Test And Production System. Additional Information

MTO Data Governance Strategy Architect

Corvallis, OR · On-site

$66 - $85/hr

The architect should be proficient in data modeling to design efficient data schemas that support the organization's analytical and operational needs while adhering to best practices for performance ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Showing results 21-40

Data Analytics information

See Dallas, OR salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data analytics in Dallas, OR is $54.84, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $62.12 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What cities near Dallas, OR are hiring for Data Analytics jobs?

Cities near Dallas, OR with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Dallas, OR as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,077 per year, or $54.8 per hour.

Principal Data Steward

Salem, OR • On-site

Other

Posted 10 days ago


Job description

  • Provide strategic, tactical, and operational leadership in developing statewide data governance initiatives
  • Advance data governance outcomes supporting statewide policy investments, research initiatives, open data, and government transparency
  • Use statutory requirements and Oregon's Data Governance Policy to build enterprise and policy-area-specific data governance
  • Build the Oregon Data Stewards Council
  • Work with agency partners to identify vital data elements and develop data standards and practices for data integration, sharing, and interoperability
  • Assess existing data governance operations and develop enterprise strategies, frameworks, and approaches
  • Align governance efforts with Oregon's Open Data Standard, Data Governance Policy, and Geospatial Framework Program
  • Guide and support agencies in documenting information assets, creating and sharing data and metadata, evaluating program outcomes, and conducting business analyses
  • Coordinate and staff advisory groups, working groups, and interdisciplinary teams
Requirements
  • Bachelor's Degree in Business or Public Administration, Behavioral or Social Sciences, Natural Sciences, Data Science, Computer Science, or any degree demonstrating the capacity for the necessary knowledge and skills; and five years of professional-level evaluative, analytical, and planning work related to this position
  • OR any combination of experience and education equivalent to eight years of experience that typically supports the knowledge and skills for this position
  • Extensive knowledge of data governance and data management best practices
  • Ability to communicate, train, and consult a variety of individuals and organizations in data governance, data management, and data quality best practices
  • Experience employing data governance techniques to facilitate data analysis, program evaluation, and other methods of drawing insights using data
  • Experience convening and working with diverse partner groups and facilitating and building consensus amongst partners
  • Ability to communicate clearly and concisely using non-technical language
  • Ability to balance competing priorities and initiatives across multiple state structures
  • Strong leadership skills, including experience coordinating and staffing advisory groups, working groups, and interdisciplinary teams
  • Experience with transformational systems change, organizational change management, and tools for facilitating large-scale cultural changes
  • Applicants must be authorized to work in the United States; visa sponsorship is not available
  • Valid driver's license issued by the state where the employee resides or acceptable form of transportation
  • Finalists must undergo a computerized criminal history check
  • Required documents: cover letter and resume
Core Competencies

Demonstrates extensive knowledge of data governance and management best practices, with the ability to lead strategic initiatives, facilitate collaboration among diverse partners, and communicate effectively across various organizational levels. Proven experience in program evaluation, data analysis, and organizational change management is essential.

Highest-signal resume keywords
  • Data Governance Best Practices
  • Data Management Techniques
  • Program Evaluation Experience
  • Leadership in Advisory Groups
  • Organizational Change Management
ATS Optimization KeywordsHard Skills
  • Data Analysis
  • Data Quality Best Practices
  • Data Integration Standards
  • Data Standards Development
  • Data Metadata Documentation
  • Evaluative Planning Work
  • Statutory Requirements Knowledge
  • Data Governance Policy Alignment
  • Interoperability Practices
  • Business Analysis
Soft Skills
  • Clear Communication
  • Training and Consulting
  • Facilitation Skills
  • Consensus Building
  • Prioritization
Industry Keywords
  • Oregon Data Governance Policy
  • Open Data Standard
  • Geospatial Framework Program
  • Data Stewards Council
  • Transformational Systems Change
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