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Data Plus Jobs in Arizona (NOW HIRING)

Experience in working on Agile and Rally tool is a plus * Strong understanding and hands-on ... Should have worked on large data sets and experience with performance tuning and troubleshooting.

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Proficient in Google Cloud Platform and should have deep understanding of its managed offerings, GCP Data Engineer certification is a big plus. * Hands on experience in GCP BigQuery, Orchestration ...

Senior Load Bank Technician - Data Center Equipment Rental - Phoenix, AZ Our client is a fast ... Technical degree a plus * Previous military experience and training a plus * Ability to read and ...

Data Center Technician (Server / Support) Phoenix, AZ (5 days onsite) 1 Year Unisys Corporation is ... Dell or other vendor certifications are a plus, but not required * Ability to lift up to 50 lbs ...

Data Scientist/Statistician

Phoenix, AZ · On-site

$116K - $228K/yr

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound ... Preferred qualifications are in addition to the minimum requirements and are considered a plus ...

Strong programming skills in Python (plus experience in JavaScript), with proficiency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis * Solid ...

Showing results 41-60

Data Plus information

See Arizona salary details

$9

$28

$70

How much do data plus jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data plus in Arizona is $28.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.94 and $34.54 per hour, depending on experience, location, and employer.

What is a Data Plus?

A Data Plus job typically involves working with data analytics, processing, and management to support business decision-making. Professionals in this role may clean, analyze, and visualize data to extract insights. Depending on the organization, a Data Plus job could include database management, report generation, and the use of data tools like SQL, Python, or Excel. The role often requires problem-solving skills and attention to detail.

What are the key skills and qualifications needed to thrive in a Data Plus?

To excel as a Data Plus professional, you should have strong analytical skills, knowledge of data management principles, and a relevant degree in computer science, statistics, or a related field. Proficiency with data analytics tools (such as SQL, Python, R) and familiarity with data visualization platforms like Tableau or Power BI are often required. Effective communication, critical thinking, and attention to detail are essential soft skills for this role. These competencies enable accurate data analysis, clear insights for decision makers, and seamless collaboration with cross-functional teams.

What are the typical daily responsibilities for a Data Plus?

In a Data Plus position, your typical day may involve collecting and cleaning large datasets, conducting statistical analyses, and generating actionable insights to support business objectives. You'll likely collaborate closely with other data professionals, product managers, and stakeholders to define data requirements and deliver reports or dashboards. Additional tasks may include automating processes, ensuring data integrity, and contributing to project meetings. This dynamic role provides you with the opportunity to influence key decisions through data-driven recommendations.

What are popular job titles related to Data Plus jobs in Arizona? For Data Plus jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Data Plus jobs? Cities in Arizona with the most Data Plus job openings:
Infographic showing various Data Plus job openings in Arizona as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Temporary. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $59,156 per year, or $28.4 per hour.

$50K/yr

Other

Posted 8 days ago


Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-07: Must have at least one year of specialized experience equivalent to GS-05 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) with close supervision or detailed instructions.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in preparing written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-09: Must have at least one year of specialized experience equivalent to GS-07 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts

    with

    open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) under supervision or with detailed guidance.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in the preparation of written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Employment Type: OTHER