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Data Analytics Python Jobs in Arizona (NOW HIRING)

Experience with predictive analytics or modeling * Proficiency in Python or R for data analysis * Experience with automation tools and scheduling frameworks * Experience supporting executive-level ...

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 ...

Senior Data Analyst

Scottsdale, AZ

$85K - $108K/yr

This role is responsible for the full analytics lifecycle, including exploring raw datasets ... Clean, manipulate, and transform complex datasets using Python (e.g., pandas, numpy)  * Build ...

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 ...

Senior Data Analyst

Scottsdale, AZ · On-site

$85K - $108K/yr

This role is responsible for the full analytics lifecycle, including exploring raw datasets ... Clean, manipulate, and transform complex datasets using Python (e.g., pandas, numpy) * Build ...

Senior data engineer

Phoenix, AZ

$105K - $143K/yr

... Python, and cloud platforms such as GCP; AWS knowledge is an advantage. Position Overview We are seeking a Specialist with 5 to 7 years of experience in GCP data analytics to design, build, and ...

Proficiency with programming in Python in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with Excel ...

Proficiency with programming in Python or R in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with ...

Proficiency with programming in Python or R in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with ...

Proficiency with programming in Python in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with Excel ...

Proficiency with programming in Python in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with Excel ...

Proficiency with programming in Python or R in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with ...

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

This role will place emphasis on project management across the data analytics team, as well as ... Experience with SQL, Python, R or other programming tools. * Experience with project management ...

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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 Jun 22, 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 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 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 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.

Infographic showing various Data Analytics Python job openings in Arizona as of June 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.

$81K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

SteerBridge Strategies is a modern technology company delivering innovative, missionfocused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercialgrade capabilities that accelerate operational effectiveness and drive measurable mission success.
At the core of SteerBridge is our people-especially the veterans whose leadership, problemsolving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Position Overview

SteerBridge Strategies is seeking a highly skilled Data Analyst to support mission-critical operations in a secure, controlled data environment. This role focuses on advanced data analysis, automation, and reporting to drive informed decision-making at leadership levels. The ideal candidate will have strong SQL expertise, experience working with large datasets, and the ability to translate complex data into actionable insights.

Key Responsibilities

  • Data Analysis & Insights
  • Analyze large, relational datasets to identify trends, inefficiencies, and performance gaps
  • Translate raw data into actionable insights to support leadership decision-making
  • Identify degraders, shortages, and operational inefficiencies
  • SQL Development
  • Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer)
  • Utilize advanced SQL techniques (CTEs, window functions, complex joins, aggregations)
  • Optimize queries for performance and scalability
  • Troubleshoot and resolve data discrepancies across multiple data sources
  • Data Quality & Validation
  • Implement automated validation checks (row counts, duplicates, completeness, integrity)
  • Ensure accuracy and consistency of data before reporting
  • Identify and resolve root causes of data inconsistencies
  • Automation & ETL Processes
  • Support and maintain ETL pipelines and data workflows
  • Build automated processes for data ingestion, transformation, and validation
  • Implement scheduling/orchestration tools (cron, AWS services, Airflow, or equivalent)
  • Ensure processes run without manual intervention
  • Scripting & Process Automation
  • Develop scripts using Python, Bash, or PowerShell
  • Automate data pulls, file processing, and pipeline validation
  • Integrate scripts into end-to-end workflows
  • Reporting & Dashboards
  • Develop and maintain automated reports and dashboards
  • Support daily, weekly, and monthly reporting requirements
  • Ensure reports are accurate, consistent, and delivered on schedule

Required Qualifications

Education & Experience

  • U.S. Citizenship required with the ability to obtain a Secret Clearance
  • Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related)
  • Minimum 3+ years of professional experience in data analysis or a related field
  • Strong experience working in sensitive or controlled data environments
  • Advanced SQL proficiency (Amazon Redshift, Oracle preferred)
  • Experience with large, relational datasets and data structures
  • Strong understanding of joins, aggregations, and query optimization
  • Experience troubleshooting data discrepancies and ensuring data integrity
  • Familiarity with ETL processes and data pipelines
  • Experience building recurring reports and dashboards
  • Strong attention to detail and data validation skills

Interpersonal & Professional Skills

  • Strong communication skills with the ability to translate technical concepts for non-technical and operational stakeholders.
  • Ability to develop relationships with collaborators, program providers, community partners, and military personnel.
  • Able to successfully prioritize and manage multiple critical projects simultaneously with a high degree of accuracy.
  • Experience working on applied data projects involving diverse organizations to collect, analyze, and interpret data.

Preferred Qualifications

  • 3-6 years of post-college professional experience
  • Experience with predictive analytics or modeling
  • Proficiency in Python or R for data analysis
  • Experience with automation tools and scheduling frameworks
  • Experience supporting executive-level decision-making

Core Competencies

Analytical Thinking

Collaboration & Teamwork

Attention to Data Quality

Problem Solving

Ownership & Accountability

Continuous Learning

Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays
$81,000 - $95,000 a year
SteerBridge Strategies is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.
If you would like information about how your application is processed, please contact us.
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