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Walk In Data Analyst Interview Jobs in Tucson, AZ

Infobahn

Histology Associate

Tucson, AZ · On-site

$30 - $40/hr

Analyze and interpret histological data accurately. * Assist in the development and validation of histology assays. * Ensure compliance with laboratory safety protocols and regulations. * Document ...

Danaher

Digital Analyst Internships

Tucson, AZ · On-site

$91K - $108K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

Digital Analyst Internships

Tucson, AZ

$91K - $108K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

3M HEALTHCARE

Program Control Analyst

Tucson, AZ · On-site

RTX in Tucson, AZ seeks a Financial Program Controls Analyst to provide financial oversight for the ... The role requires a bachelor's degree with 2+ years of experience, strong data analysis and MS ...

New

3M HEALTHCARE

Program Control Analyst

Tucson, AZ · On-site

RTX in Tucson, AZ seeks a Financial Program Controls Analyst to provide financial oversight for the ... The role requires a bachelor's degree with 2+ years of experience, strong data analysis and MS ...

New

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Walk In Data Analyst Interview information

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$32.1K

$78.1K

$128.6K

How much do walk in data analyst interview jobs pay per year?

As of Aug 8, 2026, the average yearly pay for walk in data analyst interview in Tucson, AZ is $78,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,700.00 per year, depending on experience, location, and employer.

How to get a walk-in data analyst job quickly?

To secure a walk-in data analyst position quickly, prepare a strong resume highlighting relevant skills such as SQL, Excel, and data visualization tools, and demonstrate proficiency in analytical techniques. Dress professionally, bring multiple copies of your resume, and be ready to showcase your problem-solving abilities during on-the-spot interviews. Networking and visiting companies during their open hours can also increase your chances of immediate hiring.

Is a data analyst still in demand in 2026?

Data analysts remain in high demand in 2026 due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and tools like Excel or Tableau continue to be valuable, and the role is expected to grow as organizations prioritize analytics for competitive advantage.
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Data Scientist

US Department of Homeland Security

Tucson, AZ • On-site

$74K/yr

Other

Posted 11 days ago

U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

93rd of 289 rated public sector bodies

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-11: Must have at least one year of specialized experience equivalent to GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Assisting with the application of 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)
  • 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.
  • Contributing to written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-12: Must have at least one year of specialized experience equivalent to GS-11 grade level in the Federal service. Specialized experience for this position includes:
  • Applying a range of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing 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).
  • Developing and implementing 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.
  • Preparing clear, well organized written products and delivering oral briefings that explain analytical methods, results, and implications to both technical and non-technical audiences or management.
Minimum Qualifications GS-13: Must have at least one year of specialized experience equivalent to GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Conducting statistical analysis to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing 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.
  • Developing and implementing 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.
  • Preparing and delivering clear, concise, and comprehensive written reports and oral presentations that communicate complex technical data analyses, findings, and recommendations to both technical and non-technical audiences, including senior management.

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

What U.S. Department Of Homeland Security employees say

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About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003

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