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Data Analyst Python Sql Jobs in Phoenix, AZ (NOW HIRING)

Data Risk Analyst Location : Phoenix , AZ Please find the JD Below The Risk Adjustment Analyst ... Dimensional Data Modeling, MS SQL Server, Python for DATA, R - Data Science, SAS-Data Integrator ...

... Analyst with a focus on visualization & dashboard creation, where your expertise will shape the ... Utilize programming languages such as SQL and Python to extract and manipulate data from complex ...

Skills & Qualifications * 5-8 years of experience as a SQL/Data Analyst, with strong hands-on expertise in MS SQL (querying, data manipulation, and performance optimization) * Solid understanding of ...

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs

The ideal candidate is comfortable working with large datasets, writing SQL queries, and ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

The ideal candidate is comfortable working with large datasets, writing SQL queries, and ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or ...

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Key Responsibilities: - Design and implement advanced machine learning algorithms for time series forecasting. - Conduct exploratory data analysis using Python, SQL, and other tools. - Develop and ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management ...

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Data Analyst Python Sql information

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How much do data analyst python sql jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analyst python sql in Phoenix, AZ is $82,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,300.00 per year, depending on experience, location, and employer.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Phoenix, AZ look for? The top searched job categories for Data Analyst Python Sql jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Analyst Python Sql jobs? Cities near Phoenix, AZ with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Phoenix, AZ as of August 2026, with employment types broken down into 72% Full Time, 5% Part Time, and 23% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $82,054 per year, or $39.4 per hour.

Healthcare Data Analyst (MedInsight)

Milliman

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Milliman rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.  

Company Overview: 

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry’s most trusted solutions for healthcare intelligence.Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions. 

Position Summary: 

The MedInsight team develops an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities. We are a tech healthcare data company transforming how the industry understands and consumes healthcare data.

We are seeking a Healthcare Data Analyst to help transform complex healthcare data into meaningful insights that improve quality, reduce costs, and support better healthcare decision-making. Working alongside consultants, product teams, and analytics experts, you'll profile, validate, and analyze large healthcare datasets while support MedInsight's industry-leading analytics platform and analytic consulting clients.

This role is ideal for someone who enjoys solving complex data problems, learning new technologies, and collaborating with cross-functional teams to deliver high-quality analytical solutions.

Primary Responsibilities:

  • Analyze large healthcare datasets using SQL, Databricks, Python, and other analytical tools.
  • Write and optimize complex SQL queries to support reporting, analytics, and client deliverables.
  • Develop, maintain, and execute data quality checks, feasibility assessments, validation processes, and reconciliation activities.
  • Monitor data quality, investigate anomalies, troubleshooting issues, and recommend corrective actions to ensure data integrity.
  • Develop technical specifications and analytical approaches for healthcare data analyses.
  • Interpret analytical findings and communicate insights, trends, and business impacts to technical and non-technical stakeholders.
  • Produce reports, dashboards, ad hoc analyses, and other client or internal deliverables.
  • Document data definitions, business rules, methodologies, and analytical processes.
  • Collaborate with Product, Consulting, Engineering, and Client Success teams to support implementations and resolve client questions.
  • Identify opportunities to automate recurring analyses and improve analytical workflows.
  • Prioritize and manage multiple assignments while consistently meeting project deadlines.
  • Contribute to continuous process improvement initiatives that enhance data quality, operational efficiency, and customer experience.
  • Follow MedInsight Quality Risk Management (QRM) standards and company policies.
  • Demonstrate MedInsight's core values of Quality, Integrity, and Opportunity.
  • Travel occasionally for team meetings or professional development (less than 5%).

Requirements:

Education

Bachelor's degree in Computer Science, Data Analytics, Health Informatics, Statistics, Mathematics, Economics, Business Analytics, Healthcare Administration, or a related quantitative field

Experience

  • One or more years of experience using SQL or comparable data querying tools.
  • Experience analyzing structured datasets and producing analytical deliverables.
  • Experience using one or more of the following technologies:
  • SQL Server / T-SQL
  • Python
  • PySpark
  • Azure Databricks
  • Comparable scripting or analytical tools

Required Skills: 

  •  Proficiency writing SQL queries for data extraction and analysis.
  •  Strong analytical, critical thinking, and problem-solving skills.
  •  Experience working with Microsoft Excel.
  •  Understanding of relational databases and data warehouse concepts.
  •  Ability to communicate technical concepts clearly to both technical and business audiences.
  •  Strong attention to detail and commitment to data accuracy.
  •  Ability to manage multiple priorities in a fast-paced environment.
  •  Strong organizational and time management skills.
  •  Curiosity, initiative, and a continuous learning mindset.
  • Collaborative approach with the ability to work both independently and within cross-functional teams

Preferred Qualifications

  • Experience working with healthcare claims, eligibility, provider, clinical, or pharmacy data.
  • Experience using Azure Databricks or PySpark.
  • Experience creating dashboards using Power BI, Tableau, or similar visualization tools.
  • Familiarity with Agile or Scrum methodologies.
  • Experience supporting healthcare analytics, business intelligence, or data warehousing initiatives.

Location:

This role can be located remotely within the US. The expected application deadline for this job is September 30, 2026. 

Compensation:

The overall salary range for this role is $49,900 - $88,895. For candidates residing in: 

  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia, the salary range is $57,385 - $88,895.  
  • All other locations the salary range is $49,900 - $77,300. 

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity? 

  • Join an innovative, high growth company with a solid industry track record 
  • Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions 
  • Be recognized for your contributions and impact
  • Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career 

Benefits: 

We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:

  • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
  • 401(k) Plan – Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program – Recognizing employee contributions
  • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays – A minimum of 10 paid holidays per year
  • Family Building Benefits – Includes adoption and fertility assistance
  • Paid Parental Leave – Up to 11 weeks of paid leave for employees who meet eligibility criteria
  • Life Insurance & AD&D – 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability – Fully paid by Milliman

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran. 

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About Milliman

Sourced by ZipRecruiter

Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

Year founded

1947