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Data Optimizer Jobs in Arizona (NOW HIRING)

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 ...

Data Architect

Phoenix, AZ · On-site

$63.25 - $81.50/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 ...

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

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 ...

Data/Information Architect

Tempe, AZ

$61 - $78.50/hr

Must have knowledge of cluster optimization and its integration with various cloud services. * Must have good understanding to create complex data pipelines. * Must be strong in SQL and spark-sql.

Data/Information Architect

Tempe, AZ · On-site

$61 - $78.50/hr

Must have knowledge of cluster optimization and its integration with various cloud services. * Must have good understanding to create complex data pipelines. * Must be strong in SQL and spark-sql.

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

Senior Data Analyst

Phoenix, AZ · Remote

$6.9K - $8.0K/mo

Leveraging data partitioning, parallelization, and data flow optimization principles * SQL query development using query planning and optimization techniques * File manipulation across varied file ...

Senior Data Analyst

Phoenix, AZ · On-site

$6.9K - $8.0K/mo

Leveraging data partitioning, parallelization, and data flow optimization principles * SQL query development using query planning and optimization techniques * File manipulation across varied file ...

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance ... process optimization activities. • Support AI and machine learning initiatives by preparing ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance ... process optimization activities. • Support AI and machine learning initiatives by preparing ...

Data/Information Architect

Tempe, AZ · On-site

$62 - $79.75/hr

... optimization and its integration with various cloud services. • Must have good understanding to create complex data pipelines. • Must be strong in SQL and spark-sql. • Must have strong ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Deep understanding of relational database concepts - SQL, data modeling, normalization, indexing, transactions, performance optimization * Experience with PostgreSQL, Oracle, SQL Server, MySQL ...

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

The role involves designing and optimizing large-scale data pipelines, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ET ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data ... process optimization activities. • Support AI and machine learning initiatives by preparing ...

Showing results 41-60

Data Optimizer information

What is a data optimizer?

Data Optimizers are professionals who analyze, refine, and improve how data is collected, stored, processed, and utilized within an organization. They work to enhance data quality, streamline workflows, and ensure that businesses can make the most effective use of their data assets. By implementing best practices and leveraging technology, Data Optimizers help organizations gain actionable insights, reduce inefficiencies, and support better decision-making. Their role often involves working closely with data engineers, analysts, and business stakeholders to optimize data systems and processes.

How does a data optimizer typically collaborate with data engineers and analysts within a project team?

A Data Optimizer works closely with data engineers to ensure data pipelines are efficient, scalable, and aligned with organizational goals. They often review current data structures, identify inefficiencies, and propose enhancements that streamline data flow and improve performance. Collaboration with analysts is also key, as Data Optimizers help ensure data quality and availability for analytical tasks, often translating business needs into technical improvements. This role requires strong communication skills and the ability to bridge the gap between technical teams and business stakeholders.

What are the key skills and qualifications needed to thrive as a data optimizer, and why are they important?

To thrive as a Data Optimizer, you need strong analytical skills, a solid understanding of data management principles, and experience with data cleaning and transformation, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, Python, data visualization software, and data warehousing systems is common, and certifications in data analytics or database management can be advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure data integrity, facilitate informed decision-making, and drive organizational efficiency through optimized data processes.

What is the difference between Data Optimizer vs Data Analyst?

AspectData OptimizerData Analyst
CredentialsTypically requires certifications in data management, SQL, or data analysis toolsOften holds degrees in statistics, mathematics, or related fields
Work EnvironmentFocuses on data quality, efficiency, and process improvement within data systemsAnalyzes data sets to identify trends and generate reports for decision-making
Employer & Industry UsageUsed in industries emphasizing data infrastructure and optimizationCommon across various industries for business insights and reporting

While both roles work with data, Data Optimizers focus on enhancing data quality and system efficiency, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right skills to each role.

What cities in Arizona are hiring for Data Optimizer jobs?

Cities in Arizona with the most Data Optimizer job openings:

Infographic showing various Data Optimizer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

People Data Scientist

Unitek Learning

Tempe, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Company Description

As a leading healthcare education organization, Unitek Learning’s family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment.

Job Description

The People Data Scientist applies advanced statistical, analytical, and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling, experimentation, machine learning, and workforce analytics to identify trends, assess organizational effectiveness, and inform strategies related to talent acquisition, employee engagement, retention, performance, workforce planning, and diversity initiatives.  Working collaboratively with Human Resources, Talent Acquisition, Total Rewards, Learning and Development, Finance, and business leaders, the People Data Scientist translates complex workforce data into meaningful recommendations and decision-support tools. The position develops predictive models, conducts research and experimentation, and delivers data-driven insights that improve organizational performance while ensuring ethical, responsible, and compliant use of employee data.

Job Responsibilities:

  • 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 support HCM system implementations, enhancements, integrations, testing, and ongoing system optimization across HR, Payroll, Benefits, Talent, and Workforce Management functions.
  • Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve processes, and implement scalable workforce technology and analytics solutions.
  • Configure and maintain HRIS workflows, security roles, business processes, system controls, and reporting structures to support operational efficiency and data integrity.
  • Manage workforce data governance activities, including data validation, audits, compliance monitoring, and the maintenance of accurate and reliable employee data across multiple systems.
  • Develop workforce analytics and statistical analyses to identify trends, correlations, and actionable insights related to headcount, turnover, retention, recruiting, labor costs, engagement, diversity, and workforce planning.
  • Apply predictive analytics, forecasting techniques, and data modeling methodologies to support strategic workforce planning and organizational decision-making.
  • Design, develop, and maintain dashboards, scorecards, and executive reporting solutions that provide visibility into key workforce and business metrics.
  • Translate complex workforce data into clear visualizations, executive presentations, and data-driven narratives that connect people’s metrics to business outcomes.
  • Create and maintain automated reporting processes, data integrations, and data pipeline solutions that improve efficiency, accuracy, and scalability of workforce reporting.
  • Partner with HR Centers of Excellence, including Talent Acquisition, Total Rewards, Learning and Development, and Employee Relations, to support analytical and reporting needs.
  • Identify opportunities to improve workforce processes, reporting capabilities, and HR technology solutions through data analysis, automation, and emerging technologies, including AI-enabled tools.
Qualifications

Education, Experience, Knowledge, Skills and Abilities:

  • Bachelor’s degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field required; Master's degree preferred.
  • Minimum of 5 years of experience in data science, people analytics, workforce analytics, applied research, or a related analytical discipline.
  •  Strong knowledge of statistical modeling, predictive analytics, machine learning, hypothesis testing, survey methodology, and experimental design.
  • Proficiency in SQL and at least one analytical programming language such as Python or R.
  • Experience working with business intelligence and data visualization tools to develop dashboards, reports, and executive presentations.
  • Demonstrated ability to analyze large and complex datasets and communicate findings to diverse audiences.
  • Knowledge of workforce analytics, organizational research methods, employee lifecycle metrics, and talent management concepts preferred.
  • Strong critical thinking, problem-solving, and analytical skills with the ability to independently manage complex projects and priorities.
  • Understanding of data governance, data privacy, responsible AI practices, and bias mitigation principles.
  • Excellent communication and consulting skills with the ability to influence decisions through data-driven insights and recommendations.

Additional Information

We Offer:

  • Medical, Dental and Vision starting the 1st of the month following 30 days of employment
  • 2 Weeks’ starting Vacation per year.  Increasing based on years of service with company
  • 10 paid Holidays and 1 Floating Holiday
  • 401K with a Company Match
  • Company Paid Life Insurance at 1x’s your annual salary
  • Leadership development and training for career advancement
  • Tuition assistance and Forgiveness for you and your family up to 100% depending on program