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Data Analytics Python Jobs in Arizona (NOW HIRING)

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Data Analyst - Work From Home

Phoenix, AZ · On-site

$85K - $110K/yr

... analytics experience with strong proficiency in SQL for data extraction and transformation * Minimum 2 years of experience using data visualization tools (Tableau, or similar) * Python scripting ...

DPDHL

Business Data Analyst I

Goodyear, AZ

$70K - $115K/yr

... analytics, business intelligence, or a related field, required * Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required

DHL

Business Data Analyst I

Goodyear, AZ · On-site

$70K - $115K/yr

... analytics, business intelligence, or a related field, required * Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required

SEI

Data and Analytics Consultant

Phoenix, AZ · On-site

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 ...

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Data Analytics Python information

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$25.2K

$110.4K

$180.1K

How much do data analytics python jobs pay per year?

As of May 30, 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:
What job categories do people searching Data Analytics Python jobs in Arizona look for? The top searched job categories for Data Analytics Python jobs in Arizona are:
Data Analytics Python jobs near you
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.
Associate, Data Analytics (Tempe, AZ - Hybrid)

Associate, Data Analytics (Tempe, AZ - Hybrid)

Oscar Health

Tempe, AZ • On-site, Remote

$91.66K - $120.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

226th of 259 rated insurance

Job description

Hi, we're Oscar. We're hiring a to join our Clinical Data Analytics team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.
About the role:
You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You will be called upon to speak to prepared analysis both internally and externally.
You will report into the Senior Manager, Clinical Analytics.
Work Location: This position is based in our Tempe, Arizona office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid
Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.
Responsibilities:
  • Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
  • Analyze data to support business teams in making better informed, data-driven decisions
  • Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
  • Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
  • Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
  • Support other strategic projects as assigned to meet business needs
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:
  • 3+ years of technical work experience using analytical tools and writing analytical reports
  • 3+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
  • 3+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
  • 3+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools
  • 3+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
  • 1+ years experience in healthcare, consulting, finance or the insurance industry

Bonus points:
  • 2+ years experience in preparing healthcare analytics and reporting
  • 2+ years experience managing value-based contracts at a payer or a provider organization (ACO, CIN, MSO etc.)
  • Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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