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Professional Data Jobs in Arizona (NOW HIRING)

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Google Cloud Professional Machine Learning Engineer Google Cloud Professional Data Engineer AWS Certified Machine Learning Specialty Certified Kubernetes Admin(CKA) Google Professional Cloud ...

Motion Recruitment

Software Engineer 2

Phoenix, AZ · Hybrid

$92K - $126K/yr

Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics Desired Skills & Experience * Proven skills with data migration from on-prem ...

Synthesis Systems

Cloud Native Developer

Chandler, AZ · On-site

$55.50 - $75.75/hr

Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus) * Experience in working on scale applications Additional Information All your ...

Synthesis Systems

Cloud Native Developer

Chandler, AZ · On-site

$55.50 - $75.75/hr

Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus) * Experience in working on scale applications Additional Information All your ...

Judge Group, Inc.

Specialty Software Engineer

Phoenix, AZ · On-site

$76 - $81/hr

Google Cloud Professional Data Engineer * AWS Specialty Data Analytics * Microsoft Azure Data Engineer Associate * Experience with GenAI frameworks such as LangChain and LangGraph . * Experience with ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Google Cloud Professional Data Engineer certification or equivalent cloud certification (AWS Specialty Data Analytics or Azure Data Engineer). * Experience migrating large-scale data platforms from ...

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful ... Designs data modeling processes to create algorithms and predictive models. Performs custom ...

Mi-Case

Data Analyst

Phoenix, AZ · On-site

About the Role As a Data Analyst, you will analyze legacy data sources and Mi-Case data ... Professional Development - Demonstrates a commitment to professional development by proactively ...

ALENOTECH SOLUTIONS LLC

Data Analyst

Tucson, AZ · On-site

Our mission is to empower professionals through advanced training, project placement, and long-term career development in cutting-edge technologies like Data Science, AI, and Cloud Computing. Join ...

ALENOTECH SOLUTIONS LLC

Data Analyst

Tucson, AZ · On-site

Our mission is to empower professionals through advanced training, project placement, and long-term career development in cutting-edge technologies like Data Science, AI, and Cloud Computing. Join ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

... Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions.

Hughes Federal Credit Union

Data Analyst

Tucson, AZ · On-site

$78K - $98K/yr

Data Analyst Job Summary: In this role you will assist members, staff, and third parties with ... and professional manner. Salary: $78,000.00-$98,000.00 Yearly Depending on Experience Location:

Collabera

Data Analyst

Phoenix, AZ

As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices ... Performs data analytics on various processes and projects to measure post-implementation ...

Twice

Data Engineer

Scottsdale, AZ · On-site

$80 - $100/hr

The ideal candidate will bring a strong commitment to professional development and a desire to succeed in a dynamic corporate environment. The Data Engineer designs, builds, and maintains scalable ...

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Showing results 21-40

All JobsProfessional Data JobsProfessional Data Jobs in Arizona

Professional Data information

What is a professional data analyst?

A Professional Data Analyst is a specialist who collects, processes, and interprets large sets of data to help organizations make informed decisions. They use statistical techniques, data visualization tools, and analytical software to identify trends, solve problems, and provide actionable insights. Data analysts often work closely with business teams to ensure that data-driven strategies align with organizational goals. Their role requires strong analytical skills, attention to detail, and proficiency in programming languages such as SQL, Python, or R.

What are the key skills and qualifications needed to thrive as a data professional?

To thrive as a Data Professional, you need strong analytical skills, a solid understanding of statistics, and proficiency in data management, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills are essential for transforming raw data into actionable insights that drive business decisions and strategies.

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

Professionals in data roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and keeping up with rapidly evolving tools and technologies. Collaboration with cross-functional teams can also present difficulties, especially when translating technical findings into actionable business insights. Addressing these challenges typically involves ongoing learning, clear communication with stakeholders, and implementing effective data governance practices to maintain accuracy and security. Building strong relationships with colleagues in IT, analytics, and business units is also crucial for success.

What is the difference between Professional Data vs Data Analyst?

AspectProfessional DataData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; often certifications in data managementBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL often preferred
Work EnvironmentCorporate offices, data centers, or remote settings; involved in data management and strategyOffice environments; focused on data analysis, reporting, and visualization
Employer & Industry UsageUsed across industries like finance, healthcare, and tech for data governance and strategyCommonly employed in business intelligence, marketing, and finance for data interpretation

Professional Data roles focus on managing, organizing, and ensuring data quality, often requiring broader data management skills. Data Analysts primarily interpret data, create reports, and support decision-making through analysis. While both roles work with data, their core responsibilities and skill sets differ, making each essential in different stages of data utilization.

What does a professional data do?

A professional data role involves collecting, analyzing, and interpreting data to support decision-making within an organization. They often use tools like SQL, Excel, or data visualization software and require strong analytical skills and attention to detail. Their work helps improve business processes, identify trends, and inform strategic planning.

What are the most commonly searched types of Data jobs in Arizona?

The most popular types of Data jobs in Arizona are:

Professional Data jobs near you

AI/ML Engineer

Programmers.io

Scottsdale, AZ • On-site

Contractor

Re-posted 17 hours ago

Job description

Key Responsibilities:
Design, implement, and maintain ML pipelines for training, testing, and deploying AIML models.
Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent).
Implement CICD pipelines for ML and AI-driven applications.
Monitor, troubleshoot, and optimize model performance and system reliability.
Automate workflows for data ingestion, model training, deployment, and monitoring.
Collaborate with cross-functional teams to ensure secure, scalable, and compliant ML operations.
Apply MLOps best practices for reproducibility, versioning, and governance of ML models.
Required Qualifications:
5 years experience in DevOps, CloudOps, or ML Ops.
5 years experience with GCP AIML services (Vertex AI, AI Platform, BigQuery ML) or AWS ML services (SageMaker etc).
5 years Experience with containerization and orchestration (Docker, Kubernetes).
Proficiency in infrastructure-as-code (Terraform, CloudFormation, or Deployment Manager). Familiarity with CICD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD).
Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Preferred Certifications (one or more):
Google Cloud Professional Machine Learning Engineer
Google Cloud Professional Data Engineer
AWS Certified Machine Learning Specialty
Certified Kubernetes Admin(CKA)
Google Professional Cloud Architect