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Data Analytics Python Jobs in Arizona (NOW HIRING)

Associate, Operations Data Analytics

Tempe, AZ · Hybrid

$91.66K - $120.30K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar ... Experience using Python or R * 2+ years experience in healthcare or insurance industry * Exposure ...

Associate, Operations Data Analytics

Tempe, AZ · On-site

$91.66K - $120.30K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar ... Experience using Python or R * 2+ years experience in healthcare or insurance industry * Exposure ...

Associate, Operations Data Analytics

Tempe, AZ · Hybrid

$91.66K - $120.30K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar ... Experience using Python or R * 2+ years experience in healthcare or insurance industry * Exposure ...

Sr Data Analyst

Phoenix, AZ · Hybrid

$89.99K - $143.09K/yr

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation and communications skills. The role also involves fostering collaboration, driving continuous ...

Experience and knowledge of programming and scripting languages, such as but not limited to Python ... Advanced Analytics and Data Visualizations * Extensive experience or knowledge of data ...

AI Development Data Analytics Intern

Scottsdale, AZ · On-site

$15 - $20.25/hr

This internship sits at the intersection of data analytics and artificial intelligence, offering ... Completed coursework or demonstrated experience in programming (Python, JavaScript, SQL, or similar ...

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Showing results 1-20

Data Analytics Python information

See Arizona salary details

$25.2K

$110.4K

$180.1K

How much do data analytics python jobs pay per year?

As of May 29, 2026, the average yearly pay for data analytics python in Arizona is $110,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,068.00 and $134,952.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Python professional, and why are they important?

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

What are some typical challenges faced when working as a Data Analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What are Data Analytics Python professionals?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

What is the difference between Data Analytics Python vs Data Analyst?

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

What are popular job titles related to Data Analytics Python jobs in Arizona? For Data Analytics Python jobs in Arizona, the most frequently searched job titles are:
Infographic showing various Data Analytics Python job openings in Arizona as of May 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $110,448 per year, or $53.1 per hour.
Workforce Data & Analytics Manager

Workforce Data & Analytics Manager

Deloitte

Tempe, AZ

Other

Posted 15 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

We're looking for an experienced data and analytics professional with management experience and a passion for the people domain to join our team. Deloitte's Workforce Data & Analytics Team leverages the power of data, data science, analytics, visualization, platforms, and AI to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.

Recruiting for this role ends on 07/17/2026.

Work you'll do

As a Manager, Data and Insights on the Workforce Data & Analytics team, you will be responsible for helping clients advance their data and people analytics capabilities across strategy, people, process, data, and technology to deliver business-driven insights across work, workforce, and workplace topics.

  • Lead client engagements focused on people data and analytics strategy, operating model design, roadmap development, and analytics-enabled decision support
  • Define business questions, translate stakeholder needs into data and analytics requirements, and guide teams in developing insights, dashboards, predictive models, and recommendations
  • Oversee the design and delivery of data pipelines, data products, visualizations, and analytics solutions across Human Capital Management, people analytics, and enterprise business intelligence platforms
  • Manage project delivery, quality, risk mitigation, and executive stakeholder relationships while ensuring compliance with data privacy requirements and internal policies
  • Mentor and develop team members, support resource deployment, and contribute to business development activities including proposals, presentations, and sales pursuits

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 mentor and provide clear guidance to others

The team

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Deloitte's Workforce Data & Analytics Team leverages the power of data, data science, analytics, visualization, platforms, and AI to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 6+ years of experience in management consulting or in a consultative analytics role
  • 5+ years of experience managing teams of 15+ professionals
  • 5+ years of experience executing data engineering and data analysis using Structured Query Language, R, and Python
  • 5+ years of experience with data warehouses and data lakes, including Amazon Web Services, Microsoft Azure, Databricks, or Snowflake
  • 5+ years of experience developing reporting and dashboards in business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least two initiatives in which artificial intelligence or machine learning methods were designed or implemented to address people analytics or workforce challenges
  • Experience facilitating at least three meetings, presentations, or workshops with cross-functional or global teams on complex topics
  • Experience managing at least two data- or technology-driven projects through the full project lifecycle, including budgets, timelines, deliverables, and stakeholder engagement
  • Experience presenting insights from technical projects to Human Resources or executive stakeholders and informing a business action, strategy, or policy decision at least twice
  • Experience applying analytics and data visualization tools, including Tableau or Power BI, across at least three projects to support decision-making

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 $141,200 to $278,300.

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.

Qualifications:

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

We're looking for an experienced data and analytics professional with management experience and a passion for the people domain to join our team. Deloitte's Workforce Data & Analytics Team leverages the power of data, data science, analytics, visualization, platforms, and AI to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.

Recruiting for this role ends on 07/17/2026.

Work you'll do

As a Manager, Data and Insights on the Workforce Data & Analytics team, you will be responsible for helping clients advance their data and people analytics capabilities across strategy, people, process, data, and technology to deliver business-driven insights across work, workforce, and workplace topics.

  • Lead client engagements focused on people data and analytics strategy, operating model design, roadmap development, and analytics-enabled decision support
  • Define business questions, translate stakeholder needs into data and analytics requirements, and guide teams in developing insights, dashboards, predictive models, and recommendations
  • Oversee the design and delivery of data pipelines, data products, visualizations, and analytics solutions across Human Capital Management, people analytics, and enterprise business intelligence platforms
  • Manage project delivery, quality, risk mitigation, and executive stakeholder relationships while ensuring compliance with data privacy requirements and internal policies
  • Mentor and develop team members, support resource deployment, and contribute to business development activities including proposals, presentations, and sales pursuits

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 mentor and provide clear guidance to others

The team

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Deloitte's Workforce Data & Analytics Team leverages the power of data, data science, analytics, visualization, platforms, and AI to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 6+ years of experience in management consulting or in a consultative analytics role
  • 5+ years of experience managing teams of 15+ professionals
  • 5+ years of experience executing data engineering and data analysis using Structured Query Language, R, and Python
  • 5+ years of experience with data warehouses and data lakes, including Amazon Web Services, Microsoft Azure, Databricks, or Snowflake
  • 5+ years of experience developing reporting and dashboards in business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least two initiatives in which artificial intelligence or machine learning methods were designed or implemented to address people analytics or workforce challenges
  • Experience facilitating at least three meetings, presentations, or workshops with cross-functional or global teams on complex topics
  • Experience managing at least two data- or technology-driven projects through the full project lifecycle, including budgets, timelines, deliverables, and stakeholder engagement
  • Experience presenting insights from technical projects to Human Resources or executive stakeholders and informing a business action, strategy, or policy decision at least twice
  • Experience applying analytics and data visualization tools, including Tableau or Power BI, across at least three projects to support decision-making

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 $141,200 to $278,300.

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.

Education:Bachelor's...

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