Arizona

Data Jobs in Arizona

44 jobs found

Include remote jobs

9d ago

Data Analyst

Mi-Case Desert Ridge, AZ

Desert Ridge, AZ

9d ago

$110k - $120k/yr Full time Data Analysis Data Analytics Data Mapping

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Job Description

Mi-Case is hiring a Data Analyst for a hybrid role in Desert Ridge, AZ. This position supports data migration by turning legacy data realities and target platform needs into clear, precise mapping and transformation specifications. If you enjoy working close to stakeholders and driving data quality through careful analysis and validation, this role is built for you.

Compensation: $110,000 to $120,000 per year (Full-time, Exempt)

What you’ll do

Collaborate with Application Developers, Legacy System SMEs, and stakeholders to gather, document, and analyze data migration requirements.
Analyze and map legacy data structures to target platforms, ensuring data mapping specifications and transformation rules are accurate.
Document the steps for data transformation, cleansing, and validation to help maintain high standards for data quality and integrity.
Track migration requirements, mapping rules, and progress using tools such as DevOps, while keeping stakeholders updated.
Act as the main point of contact for client data migration questions, providing clear and consistent communication to manage expectations and keep work aligned.
Log migration errors and records not transferred, then investigate to address issues for future migration runs.
Provide ongoing support to Project Managers, SMEs, developers, data engineers, and quality analysts by communicating progress and troubleshooting issues as they come up.

What you bring

7 years of experience (minimum) in data analysis, with exposure to data migration work.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience with data analysis, including mapping and transformation processes.
Proficiency in SQL for data extraction and validation.
Excellent communication skills and the ability to collaborate with cross-functional teams.
Detail-oriented approach with a strong commitment to data quality.
Strong analytical and problem-solving skills.
Experience with data migration tools and methodologies (preferred).

Technologies

SQL
DevOps

Nice to have

Knowledge of data governance and compliance best practices.
Familiarity with ETL tools.

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9d ago

CLO Data Analyst

Voya Financial Scottsdale, AZ

Scottsdale, AZ

9d ago

$79k - $111k/yr Full time Clo Investor Relations Data Analysis Data Analytics

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Job Description

The CLO Data Analyst role at Voya Financial supports the Voya Investment Management Leveraged Credit Group with investor data requests, CLO dataset management, and reporting.

Responsibilities

Respond to detailed CLO investor RFP, investor inquiries, and data requests.
Create and update CLO datasets used for marketing materials, including customized datasets for marketing presentations distributed to potential investors and other third parties.
Aggregate portfolio, performance, and market data and maintain/updating of source data spreadsheets.
Collaborate with CLO compliance, finance, and risk teams on items including cash balances, monthly reports, and compliance results.
Provide administrative and technical assistance on an as-needed basis.
Complete ad hoc reports and projects requested by CLO portfolio managers.
Build out Voya’s agentic AI research and portfolio management platform.

Requirements

Bachelor’s Degree (or equivalent), preferably in a numerical or quantitative discipline.
1-3 years of relevant work experience.
Experience writing scripts/queries for data processing, extraction, and reporting (a plus).
Advanced knowledge of Microsoft Office tools: Word, Excel, PowerPoint, Outlook.
Robust analytic and quantitative skills.
Strong written and verbal communication skills.
Knowledge of and interest in structured finance.
Good interpersonal skills to build strong professional relationships with internal and external parties.
Ability to work independently while integrating with members of the CLO Team.
Reliable self-starter with high attention to detail, strong organization, and ability to manage multiple priorities and deadlines.
Excellent time management and ability to perform in a deadline-focused environment.

Technology

Microsoft Word
Microsoft Excel
Microsoft PowerPoint
Microsoft Outlook

Compensation

$79,000 - $110,500 USD per year

Benefits

Health, dental, vision and life insurance plans
401(k) Savings plan with generous company matching contributions (up to 6%)
Voya Retirement Plan: employer paid cash balance retirement plan (4%)
Tuition reimbursement up to $5,250/year
Paid time off: 20 days paid time off, nine paid company holidays, and a flexible Diversity Celebration Day
Paid volunteer time: 40 hours per calendar year

Critical Skills

Customer Focused: passion to delight customers with solutions that meet expectations
Critical Thinking: analyze data and solve problems to reach well-reasoned solutions
Team Mentality: partner effectively to execute shared goals
Business Acumen: understanding of the financial services industry for sound business decisions
Learning Agility: open to new thinking and skills to maintain a competitive advantage

Location: Scottsdale, AZ (onsite)

Minimum Experience: 1 year

Education: Bachelor’s Degree (or equivalent)

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9d ago

Data Analyst I

City of Tucson Tucson, AZ

Tucson, AZ

9d ago

$24 - $36/hr Full time Analytics Business Intelligence Data

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Job Description

Support the City of Tucson Police Department by assisting with business intelligence, reporting, and data analysis under supervision.

Responsibilities

Assist with creating and maintaining dashboards and reporting solutions on digital visualization platforms to support operational efficiency and departmental reporting.
Research and resolve issues related to programming and scripting languages, data visualization platforms, and/or statistical methodologies to help ensure accuracy and access for internal and external stakeholders.
Identify department-level business intelligence, reporting, and data analytics needs by converting data into actionable information and knowledge.
Assist with and perform limited operational tasks using relational databases, geographic information systems software, and/or statistical programs to provide critical information to stakeholders.
Support departmental operations and decision-making through analytical insights, including gathering and analyzing data from multiple sources and applying established methods and standard practices.
Perform other assigned duties and tasks.

Requirements

Associate degree
Under one (1) year of relevant experience
Any combination of relevant education and experience may be substituted on a year-for-year basis

Preferred Qualifications

Bachelor’s degree in Computer Science, Geographic Information Systems, Management Information Systems, Statistics or Mathematics, Economics, Finance, or a relevant applied analytical field
Demonstrated proficiency in coding languages and/or data visualization platforms

Technologies

Digital visualization platforms
Programming and scripting languages
Statistical methodologies
Relational databases
Geographic information systems software
Statistical programs

Benefits

Medical, dental, vision, life, disability, and FSA coverage
Pension plan plus optional Roth and pretax deferred compensation savings
Paid time off program (38 paid days off in the first year of employment, with time off increasing steadily in subsequent years)
Twelve weeks of paid parental leave
Paid tuition reimbursement
Student loan repayment
Off- and on-the-job training
Employee resource groups and paid volunteer hours for connections with peers and the community

Application & Selection Process

Completed application must be submitted by 09-20-2026 at 11:59 p.m. MST.
City of Tucson does not provide sponsorship for employment visa status, including STEM OPT.
Resume upload is required to be considered.
Selection process includes: application/resume review; screening panel interviews (tentatively week of October 5, 2026); hiring interviews (tentatively week of October 19, 2026).
Top 40 applicants from the application/resume review will be invited to a screening panel interview to determine the Eligibility List for Data Analyst I.
Status updates will be provided via email after each stage.
Contingent offers require successful completion of an extensive background investigation, including local, state, and national criminal fingerprint checks.

Working Conditions

Mostly office environment

Position Details

Job Profile: J0690 - Data Analyst I
Compensation Grade: G106
Hourly Range: $24.16 - 36.24 USD
FLSA: Non-Exempt
Position Type: Regular
Time Type: Full time
Department: Police Department
Location: Tucson, AZ 85701 (onsite)
Department Link: https://www.tucsonaz.gov/Departments/Police
Background Check: Criminal background check required; City of Tucson is a Second Chance Employer
All duties and responsibilities are subject to change

Citizenship & Employment Eligibility

City of Tucson employs only U.S. citizens and lawfully authorized non-U.S. citizens
All new employees must complete employment eligibility verification as required by U.S. Citizenship and Immigration Services
The City of Tucson does not offer visa sponsorship

Recruiter Contact

Recruiter: Carolyn Pearson
Recruiter Email: tpd_hr@tucsonaz.gov
HR Phone (general questions): 520-837-4190

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9d ago

Data Analyst

Impetus Technologies Phoenix, AZ

Phoenix, AZ

9d ago

Full time Big Data Business Analytics Business Intelligence

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Job Description

Impetus Technologies is hiring a Data Analyst in Phoenix, AZ to turn complex data into actionable business insights. This onsite role focuses on analysis of large datasets, dashboarding and reporting, SQL and Google Cloud work, and supporting predictive modeling and planning or forecasting activities.

Key Responsibilities

Analyze large and complex datasets to uncover trends, patterns, opportunities, and business insights.
Build and maintain analytical reports, dashboards, and visualizations using Power BI.
Write efficient and complex SQL queries to extract, transform, and analyze data using BigQuery / Google Cloud.
Use Excel for data analysis, reporting, modeling, and ad-hoc business analysis.
Develop and maintain predictive data models to support business decision-making.
Conduct data validation, cleansing, reconciliation, and quality checks to ensure accuracy and consistency.
Support planning and forecasting through quantitative analysis and historical trend evaluation.
Translate business requirements into analytical solutions and meaningful metrics.
Present analytical findings and recommendations clearly and concisely to stakeholders.
Automate recurring analytical processes using Python where appropriate.
Collaborate with business, technology, and data teams to improve data availability, reporting, and analytical capabilities.
Identify process improvement opportunities driven by data-driven insights and automation.

Required Qualifications

Excel proficiency, including advanced formulas, pivot tables, data analysis, and reporting.
SQL skills, including experience querying data in BigQuery / Google Cloud.
Python proficiency for data analysis and automation.
Hands-on experience with Power BI and dashboard development.
Understanding of predictive data modeling and statistical analysis.
Experience with planning and forecasting methodologies.
Strong analytical and problem-solving skills.
Ability to communicate complex data insights to both technical and non-technical audiences.
Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related field.
Experience working with cloud-based data platforms, particularly Google Cloud Platform.
Experience building forecasting models and business performance metrics.
Experience working with large datasets and developing automated reporting solutions.
Knowledge of data visualization and business intelligence best practices.

Technology Stack

Excel
SQL
BigQuery
Google Cloud
Python
Power BI

Role Details

Location: Phoenix, AZ, USA (onsite)
Minimum experience: 4 years
Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related field

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10d ago

Full-Stack AI Engineer

Bounteous Scottsdale, AZ

Scottsdale, AZ

10d ago

Contract Backend Developer Artificial Intelligence Data Integration

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Job Description

Bounteous is seeking a Senior Full-Stack AI Engineer (AWS AI) for a contract role based in Scottsdale, AZ, with onsite preference (5 days). This position focuses on delivering and maintaining AI-driven engineering work using Python and AWS AI services, including integrations, agentic workflows, and production readiness practices.

Key Responsibilities

Promote and apply key information security practices, including acceptable use of information assets, malware protection, and password security protocols.
Identify, evaluate, and report security risks, with attention to how risks affect the confidentiality, integrity, and availability of information assets.
Review and assess how data is stored, processed, or transmitted to ensure alignment with data privacy and protection requirements, including GDPR and CCPA.
Ensure data protection controls are considered across the information lifecycle to help safeguard sensitive information.
Support engineering delivery across Python-based development, AWS AI services, integrations, agentic use cases, technical documentation, and production readiness.

Required Experience

Senior full-stack AI engineer with 3 to 5 years of hands-on engineering experience.
Experience with Python, AWS AI services, APIs, and integration patterns.
Working knowledge of agentic workflows and support activities tied to delivery.
Hands-on contribution to testing, debugging, and deployment support.
Demonstrated familiarity with production readiness practices.

Technology Focus

Python
AWS AI services
APIs
Testing
Debugging

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12d ago

AI Engineer

Realign LLC Phoenix, AZ

Phoenix, AZ

12d ago

$165k+/yr Full time Agentic Ai Agentic Ai Orchestration Ai Agent

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Job Description

Realign LLC is hiring an AI Engineer to design, develop, deploy, and optimize scalable machine learning and generative or agentic AI solutions.

Responsibilities

Design, develop, and deploy scalable AI and Machine Learning solutions to address complex business problems
Build and optimize end-to-end machine learning pipelines, covering data ingestion to model deployment and monitoring
Develop advanced Generative AI applications using LLMs, RAG architectures, and AI agents
Design and implement Agentic AI frameworks using LangGraph, LangChain, and related technologies
Build and deploy multimodal AI solutions integrating text, image, audio, and video capabilities
Collaborate with cross-functional teams (Product Managers, business stakeholders, Data Engineers, Architects) to define AI strategies and roadmaps
Evaluate emerging AI technologies and recommend options to improve business outcomes
Ensure AI systems align with performance, scalability, security, and governance requirements
Provide technical leadership, mentor junior engineers, and promote AI engineering best practices
Communicate technical concepts, project progress, and solution impact to stakeholders and leadership

Requirements

Experience: 8+ years
Experience designing, building, and optimizing machine learning pipelines
Core Python fundamentals: OOP concepts, Functions and Modules, Iterators and Generators, Exception handling, Decorators, Typing and Data classes, Data Structures and Algorithms, Design Patterns
Machine learning tools: NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib
Generative and agentic AI: LangChain, LangGraph, LlamaIndex, FAISS, Pinecone, OpenAI APIs, Anthropic APIs, Gemini APIs, LangGraph Agents
Required skills: DevOps Engineer

Tech Stack

Python
NumPy, Pandas
Scikit-learn, XGBoost, LightGBM
PyTorch, TensorFlow
MLflow, Matplotlib
LangChain, LangGraph, LlamaIndex
FAISS, Pinecone
OpenAI APIs, Anthropic APIs, Gemini APIs

Job Details

Location: Phoenix, AZ (hybrid)
Additional work arrangement listed: Sunrise, FL / Phoenix, Az (Onsite)
Salary: USD 165,000 per year
Job type: Full Time
Job category: IT

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17d ago

Principal Data & Analytics Engineer

Iridium Satellite, LLC Chandler, AZ

Chandler, AZ

17d ago

$140k - $192k/yr Full time Business Intelligence Cloud Cloud Platform

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Job Description

Join a team building Iridium’s modern data platform as the technical leader for data and analytics engineering. In this hybrid role in Chandler, AZ, you will help turn enterprise data into scalable, trusted, business-ready data products, while shaping engineering standards and mentoring engineers. Along the way, you’ll communicate platform capabilities across technical and non-technical groups and support training so teams can use data effectively.

What you’ll do

Transform raw data into business-ready dimensional models and star schemas, including data marts and semantic models that enable self-service Business Intelligence and AI.
Design, build, and optimize scalable end-to-end ELT/ETL pipelines to ingest structured and unstructured data from diverse sources.
Implement automated scheduling, monitoring, and orchestration to maintain data freshness and improve pipeline reliability.
Collaborate with data owners and governance stakeholders to establish data governance policies and procedures, ensuring data quality and compliance, with robust data security measures to protect sensitive data.
Partner with business stakeholders and the IT analytics team to understand data requirements, translate them into technical specifications, and work with data engineers to deliver solutions.
Explain data platform architecture and capabilities to both technical and non-technical audiences.
Assist with the development and delivery of training for data and analytics platform capabilities and content.
Provide technical authority across projects, including technical leadership and mentoring for the team.
Mentor and guide junior data engineers, supporting a culture of continuous learning and improvement.

What you bring

Bachelor’s degree in Engineering, Information Systems, or a related field of study.
10+ years of related experience leading complex technical projects, DataOps, and data engineering.
Expertise designing data models for different data types and use cases.
Deep experience with relational databases and advanced SQL.
Experience with modern cloud data platforms and tools such as Snowflake, Databricks, and dbt.
Familiarity with data warehouse concepts, data lake architecture, and data analytics tools.
Proficiency in cloud platforms for data storage and processing: AWS, Azure, or GCP.
Understanding of data governance principles, data privacy regulations, and best practices for data security.
Programming experience with Python, Java, or Scala for data processing and automation.
Excellent communication skills, including the ability to convey products, deliverables, analyses, and issues clearly and confidently while adapting communication style.
Familiarity with agile development processes and tools such as JIRA, GIT, and Confluence.
Ability to build meaningful relationships with senior leadership outside your department, and to provide constructive feedback to team members and management.
Capability to analyze problems, generate effective solutions, and see solutions through to completion.
Comfort managing multiple tasks and shifting priorities in a dynamic environment.
Proactive approach to sharing knowledge and learnings with others.

Technologies you may work with

Snowflake, Databricks, dbt
ELT, ETL, SQL
Python, Java, Scala
AWS, Azure, GCP
JIRA, GIT, Confluence

Compensation & benefits

Salary: USD 140,000 - 192,000 per year.

Medical, dental, and vision insurance coverage
401(k) retirement plan options
Paid time off and paid holidays
Paid parental leave
Company stock
Annual bonus
Other discounts and perks

Nice to have

Advanced degree in Engineering, Information Systems, or a related field of study.
Experience in telecommunications, ground networks, and/or satellite communications industry.
Familiarity with agile development tools (JIRA, GIT, Confluence).
Strong knowledge of data engineering methodologies, DevOps/DataOps & Agile processes.

Additional details

Occasional travel (quarterly).
Hybrid work schedule: at least 60% of your time (3 days per week) in-office and 2 days from home.
Must be a US Citizen.

Work environment

This position primarily works in an office setting and is largely sedentary, with most time spent working at a computer. Basic office equipment is used as needed. Under Iridium’s Hybrid Work Policy, employees are expected to work at least three days per week in an Iridium office to support collaboration, relationship-building, and professional growth.