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

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 ...

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

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 Engineer

Phoenix, AZ

$113K - $136K/yr

... analytics. * Implement data security and compliance best practices. * Document data architecture and technical processes. Primary Skills * Python * SQL * Apache Spark * Apache Kafka * ETL/ELT ...

New

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 ...

Experience with SQL, Python, R or other programming tools. * Experience with project management ... Project manage key data analytics initiatives by leading requirements gathering, coordinating ...

Work You'll Do As a Delivery Consultant, AI and Analytics Solutions on the team, you will ... Write Python and SQL scripts to pull and transform clinical activity data from Oracle EHR data ...

Complete projects requiring data mining, analysis and presentation Prioritize business and information needs Extract, import, clean, transform, and validate data Write Structured Query Language (SQL ...

... healthcare analysis, data management, or equivalent training or education • Proficient in ... Proficiency in the use of database applications and structured query language (SQL). Working ...

Performs data analytics on various processes and projects to measure post-implementation ... Proficient in MS Access and SQL Server Strong financial acumen. Qualifications Required Skills:

... data. * Works with GIS programming languages (Arcade, Python, SQL, HTML, VBScript) to customize web applications, mapping features, custom geoprocessing tools, or any items that can improve our work ...

New

Data Analysis, * data warehousing, * SSRS, * Business Objects ... T-SQL, * Testing and Healthcare experience. Additional Information GOOD COMMUNICATION SKILLS ...

Senior Preconstruction Data Analyst

Phoenix, AZ · On-site

$85K - $107K/yr

Senior Preconstruction Data Analyst Job Location: Phoenix, AZ Job Type: Full-time, 9am - 6pm, 40 ... PowerBI, SQL, Microsoft SQL Server Management Studio, Python, and R. All experience may be gained ...

Designs, validates, and evaluates solutions using Python, SQL and other programming tools. * Educates and mentors team members on best practices for data analytics including data science techniques ...

Designs, validates, and evaluates solutions using Python, SQL and other programming tools. * Educates and mentors team members on best practices for data analytics including data science techniques ...

Designs, validates, and evaluates solutions using Python, SQL and other programming tools. * Educates and mentors team members on best practices for data analytics including data science techniques ...

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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 Jul 14, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 are popular job titles related to Data Analyst Python Sql jobs in Phoenix, AZ? For Data Analyst Python Sql jobs in Phoenix, AZ, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $82,054 per year, or $39.4 per hour.
Data Analyst

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Job description

Position Overview

We are looking for Data Analysts to support data migration and integration efforts by analyzing legacy data sources and defining data requirements for target systems. This role involves translating complex data structures into clear mapping specifications and ensuring accurate data transformation throughout the migration process.

The ideal candidate is comfortable working with large datasets, writing SQL queries, and collaborating with both technical and non-technical stakeholders. You will play an important role in ensuring data accuracy, consistency, and completeness as systems transition from legacy platforms to modern environments.

Key Responsibilities

  • Partner with developers, subject matter experts, and project stakeholders to gather and define data migration requirements
  • Examine source system data and map it to target system structures, ensuring alignment with business and technical needs
  • Create and maintain detailed data mapping documents, including transformation logic and business rules
  • Define processes for data cleansing, validation, and quality assurance during migration activities
  • Monitor and track data migration progress using project tracking tools, providing regular updates to stakeholders
  • Act as a key contact for data-related questions, ensuring clear communication and alignment across teams
  • Identify, document, and investigate data discrepancies or migration issues, and support resolution efforts
  • Collaborate with cross-functional teams to troubleshoot data challenges and improve migration outcomes
  • Support ongoing data validation and reconciliation to ensure integrity post-migration

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
  • 4+ years of experience in data analysis, with exposure to data migration or data integration projects
  • Strong experience working with structured data and relational databases
  • Proficiency in SQL for querying, validation, and data analysis
  • Experience creating data mappings and defining transformation logic
  • Familiarity with Agile or similar project delivery methodologies is a plus

Skills and Experience

  • Solid understanding of data analysis techniques and data lifecycle concepts
  • Experience working with data migration or data conversion initiatives
  • Strong attention to detail with a focus on data accuracy and quality
  • Effective communication skills, with the ability to explain data concepts to diverse audiences
  • Ability to manage multiple priorities and work in a collaborative team environment
  • Strong analytical thinking and problem-solving capabilities
  • Familiarity with data migration tools or ETL processes (preferred)
  • Understanding of data governance, compliance, and best practices (nice to have)