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Data Optimization Jobs in Arizona (NOW HIRING)

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization. Key Responsibilities: * Design, develop, and maintain end-to-end ...

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.75/hr

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

GCP Data engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... optimizing Tableau Dashboards Strong knowledge of Python Experience working with large-scale data environments Understanding of AI/ML concepts and applications

Platform Optimization and Monitoring: Oversee the deployment and management of Azure Data Lake and Databricks environments. Implement monitoring and alerting systems to ensure system reliability and ...

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

Own the reliability, performance, governance, and cost optimization of Radix's Databricks-based data platform, including orchestration, data quality, observability, and root cause analysis. * Build ...

New

Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions. * Facilitate and ...

Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions. * Facilitate and ...

Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions. * Facilitate and ...

Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

Hands-on management of SQL Server 2012 or higher, Oracle, or IBM DB2, involving implementation of schemas, indexes, and query optimization * Experience with Developing strategies for data acquisition ...

... while optimizing organizational revenue Must Have Data Analysis Modeling Gather clean and consolidate financial claims pharmacy enrollment and premium datasets into actionable models Risk Score ...

Define and implement data acquisition and integration logic, selecting an appropriate combination of methods tools within the defined technology stack to ensure optimal scalability and solution ...

Support inventory optimization, fill-rate performance, supply-demand balancing, and forecasting ... Strong proficiency in data analysis, visualization, and reporting tools. * Advanced analytical and ...

Evaluate data quality, model performance, and AI system limitations while ensuring responsible ... optimization. * Maintain thorough documentation of models, methodologies, assumptions, and ...

Showing results 41-60

Data Optimization information

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

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

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Arizona? The most popular types of Data Optimization jobs in Arizona are:
What job categories do people searching Data Optimization jobs in Arizona look for? The top searched job categories for Data Optimization jobs in Arizona are:
What cities in Arizona are hiring for Data Optimization jobs? Cities in Arizona with the most Data Optimization job openings:
Infographic showing various Data Optimization job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Posted 11 days ago


Job description

About the Role:We are looking for a Data Analyst who will transform complex business, customer, and platform data into actionable insights that drive operational efficiency and strategic decision-making. This role is key in identifying trends, optimizing processes, and supporting data-driven decisions for both internal stakeholders and customers.If you have a strong analytical background, expertise in predictive analytics, and a passion for leveraging data to create meaningful business impact, this role is for you!
Roles and Responsibilities:✅ Conduct deep-dive analyses on complex datasets using advanced analytical techniques.✅ Design, build, and deliver reports, dashboards, and data visualizations.✅ Analyze customer data to uncover trends, insights, and opportunities for business improvement.✅ Develop and maintain a repository of standardized and customized reporting templates.✅ Communicate complex data insights effectively to non-technical stakeholders.✅ Collaborate cross-functionally with marketing, sales, product, and operations teams.✅ Partner with internal technical teams to enhance reporting capabilities.✅ Design, develop, and deploy machine learning algorithms and models.✅ Implement forecasting techniques to predict construction project timelines.
Job Requirements: 4+ years of experience in a data analytics role. Strong proficiency in data visualization tools (Quicksight, Tableau, Power BI). Experience with predictive analytics, machine learning, or forecasting methods. 3+ years of experience working cross-functionally across departments. Advanced Excel skills (macros, pivot tables, complex formulas). Proficiency in Python and SQL. Experience developing solutions with Data Lakes and Cloud platforms. Industry experience in home construction (preferred). Must be able to report in-person
Why Join Us? Make an impact by driving data-driven decision-making. Work with cutting-edge tools and technologies in analytics. Collaborate with cross-functional teams in a dynamic environment.Ready to take your data analytics career to the next level? Apply now!