1

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

Business Data Analyst I

Goodyear, AZ · On-site

$70K - $115K/yr

Business Data Analyst I The Business Data Analyst I role has a national salary range of $70,000 ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Business Data Analyst I

Goodyear, AZ · On-site

$70K - $115K/yr

Business Data Analyst I The Business Data Analyst I role has a national salary range of $70,000 ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Business Data Analyst I

Goodyear, AZ · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Business Data Analyst I

Goodyear, AZ · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Business Data Analyst I

Goodyear, AZ · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Python/Transact SQL Software Engineer

Phoenix, AZ · On-site +1

$50 - $68.75/hr

Minimum 2 years experience as Python and Transact SQL programming (Required) Key responsibilities ... Collaborating with cross-functional teams (e.g., data scientists, analysts, front-end developers ...

Be Seen First

Write SQL queries to extract, transform, load, and analyze survey data across our active project ... Develop Python scripts that run on schedule and serve other team members * Create ETL processes for ...

... use Python to run AB testing and get statistics Advanced Analytical methods - deeper understanding of Data Analytics Currently using SQL to transform the data Must have good communication and ...

Expert-level SQL proficiency and experience building transformation pipelines using dbt or ... Experience using Python or R for advanced statistical modeling or machine learning * Deep ...

Ability to query databases independently using SQL tools for research and analytical purposes. Ability to use data to glean insights and form recommendations. Demonstrated critical thinking ability.

We are seeking a Data Analyst II to join our Faculty Services team! We are seeking an analytical ... Analyst skills using SQL, MS Excel, MS Access. * Basic math aptitude and understanding and an ...

next page

Showing results 1-20

Data Analyst Python Sql information

See Phoenix, AZ salary details

$33.8K

$82.1K

$135K

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

As of May 28, 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.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

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 are Data Analyst Python SQL jobs?

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 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 May 2026, with employment types broken down into 5% As Needed, 60% Full Time, 9% Part Time, 25% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $82,054 per year, or $39.4 per hour.
Business Data Analyst I

Business Data Analyst I

DHL

Goodyear, AZ • On-site

$70K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.


DHL rating

7.0

Company rating: 7.0 out of 10

Based on 309 frontline employees who took The Breakroom Quiz

32nd of 60 rated delivery companies


Job description

Business Data Analyst I

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.

Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst I who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're passionate about analytics, innovation, and making a difference, this role is for you. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impactthis role is for you!

Job Description

As a Business Data Analyst I, you will play a key role in transforming operational data into strategic insights that identify opportunities, improve performance, and reduce costs. You'll collaborate with site leadership and key stakeholders to build reports, implement standard tools, and support data-driven decision-making. This role is ideal for someone with foundational analytics experience who is ready to take ownership of projects and grow into a trusted resource for data solutions.

  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Translate complex data into clear, actionable insights through presentations and reports for internal and customer use
  • Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)
  • Manage analytics projects independently, from concept to delivery
  • Serve as a point of contact for Power BI-related questions and support

Required Experience

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 1+ years of experience in data 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
  • Proficiency in Power BI, including building dashboards and reports from scratch, required
  • Experience writing DAX expressions to automate and enhance Power BI reports, required
  • Strong understanding of statistical concepts and data modeling techniques, preferred
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred
  • Ability to work independently, manage multiple priorities, and meet deadlines, required
  • Must be able to work fully onsite if role based out of a warehouse, required

Our Organization is an equal opportunity employer.


What DHL employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


DHL logo

About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Social media