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Data Work Jobs in Arizona (NOW HIRING)

NTT Data, Inc.

Data Center Technician L2

Mesa, AZ · On-site

With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative ...

Futran Tech Solutions Pvt. Ltd.

Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

The ideal candidate will work closely with business stakeholders, data engineers, and developers to design and implement robust data solutions. Key Responsibilities: * Data Architecture & Design:

Globe Telecom, Inc.

Data Architect

Globe, AZ · On-site

$60.50 - $78/hr

HIRING REQUIREMENTS Work Experience * 5 to 10 years of experience in data architecture related work. * Must have experience in designing and/or developing a mid - large scale data warehouse or data ...

Intel

Data Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Relevant work experience should include: * Data visualization (Power BI) * Query languages (e.g., SQL) * Experience in Python, Advanced SQL, Azure, Snowflake, and/or Microsoft Fabric * Working with ...

Ryde Technologies, LLC

Data Analyst

Phoenix, AZ

Ability to manage multiple priorities and work in a collaborative team environment * Strong analytical thinking and problem-solving capabilities * Familiarity with data migration tools or ETL ...

Inficare Technologies

Data Analyst

Phoenix, AZ · On-site

The analyst will work on cybersecurity data sets (e.g., threat, vulnerability, and operational telemetry) to develop metrics, support reporting, and provide insights that strengthen security posture.

Fisher Industries

Data Analyst

Tempe, AZ · On-site

... Data Analyst will support Business Transformation initiatives and internal stakeholders by ... Qualified candidates must be authorized to work in the U.S. without employer sponsorship now or in ...

Deloitte

Data Scientist

Tempe, AZ

Work with stakeholders to identify business problems and formulate them as data science challenges. * Collect, clean, and explore large datasets to uncover trends and patterns. * Develop and train ...

Purple Drive Technologies

Data Steward

Phoenix, AZ · On-site

Work with metadata and data governance tools such as Collibra or Manta . Cross-Functional Collaboration & Stewardship * Partner with Data Stewards, Custodians, BU Data Office teams for Critical Data ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

In this role, you will work with diverse and complex healthcare datasets--EHR, scheduling, billing, claims, structured & unstructured clinical data--to design, train, and deploy machine learning ...

Conch Technologies Inc

Data Analyst

Phoenix, AZ · On-site

Mapping work maintained in spreadsheets * Interest in leveraging AI for data mapping * Candidate should ideally have exposure and be able to demonstrate results * Azure experience: nice-to-have, not ...

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Showing results 1-20

All JobsData Work JobsData Work Jobs in Arizona

Data Work information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data work jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data work in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What does a data worker do?

A data worker collects, organizes, and analyzes data to support decision-making and business operations. They often use tools like spreadsheets, databases, and data analysis software, and may need skills in data cleaning, management, and basic statistical analysis.

What are some common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data work often encounter challenges such as managing large volumes of unstructured data, ensuring data quality, and collaborating across teams with varying levels of technical expertise. Addressing these challenges requires strong organizational skills, the ability to communicate findings clearly to both technical and non-technical stakeholders, and a commitment to continuous learning as tools and best practices evolve. Building relationships with colleagues in IT, analytics, and business units can also help streamline workflows and improve data accuracy.

How can I make 2000 a week working from home?

Data work roles such as data analyst, data entry, or data scientist can offer remote opportunities that, with experience and specialized skills, potentially generate $2000 or more weekly. Achieving this income typically requires advanced skills, certifications, or working on high-paying projects, often involving freelance platforms or direct client contracts.

What are the key skills and qualifications needed to thrive in Data Work, and why are they important?

To excel in Data Work, you need strong analytical abilities, attention to detail, and a solid background in mathematics or statistics, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Excel, and visualization platforms like Tableau or Power BI, as well as familiarity with programming languages like Python or R, is typically required. Effective communication, problem-solving, and collaboration skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for ensuring accurate data interpretation, driving informed decisions, and delivering value in data-driven environments.

What job makes $10,000 a month without a degree?

In data-related fields, roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month with relevant skills and experience. These jobs often require proficiency in tools like SQL, Python, or R, and may involve remote work or flexible schedules.

What are the careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, database administrator, and business intelligence analyst. These positions typically require skills in programming, statistics, and data visualization tools, and often involve working with large datasets and data management systems.

What is the difference between Data Work vs Data Analysis?

AspectData WorkData Analysis
Required CredentialsOften includes certifications like Microsoft Excel, SQL, or basic data management coursesTypically requires a degree in statistics, mathematics, or related fields, along with analytical certifications
Work EnvironmentData management, data entry, database maintenance, and data cleaning tasksInterpreting data, creating reports, and deriving insights from datasets
Employer & Industry UsageUsed across industries for data organization and maintenanceCommonly employed in business, finance, marketing, and research for decision-making

Data Work involves managing and maintaining data systems, focusing on data entry and organization. Data Analysis centers on interpreting data to generate insights and support business decisions. While both roles require familiarity with data tools, Data Work emphasizes data management skills, whereas Data Analysis emphasizes analytical and interpretative skills.

What is data work?

Data work refers to the process of collecting, organizing, analyzing, and interpreting data to help organizations make informed decisions. It can include tasks like data entry, data cleaning, database management, and data analysis. People who do data work may use software tools such as Excel, SQL, or specialized analytics programs to process and visualize information. Effective data work is essential in various industries, including business, healthcare, finance, and research.
Data Work jobs near you
Infographic showing various Data Work job openings in Arizona as of June 2026, with employment types broken down into 2% As Needed, 77% Full Time, 14% Part Time, and 7% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.
Consultant - Data Science / Data Lake

Consultant - Data Science / Data Lake

Deloitte

Gilbert, AZ

Other

Posted 23 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Consultant - Data Science / Data Lake

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...

  • Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
  • Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  • Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

  • 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
  • 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CDRCyber27

Qualifications:

Consultant - Data Science / Data Lake

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...

  • Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
  • Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  • Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

  • 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
  • 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CDRCyber27

Education:Bachelor's DegreeEmployment Type:

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