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Full Time Data Analytics Jobs in Arizona (NOW HIRING)

Contexture

Senior Data Analyst

Phoenix, AZ · On-site

$6.9K - $8.0K/mo

... Full-time Exempt / Non-Exempt Exempt Risk Designation: Extremely High Summary The Senior Data ... analytics. * Hands-on experience with data extraction from data sources using analysis tools and ...

DPDHL

Business Analytics Manager

Tolleson, AZ · On-site

$85K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Are you ready to lead the future of data-driven decision-making in the dynamic world of supply ... Employment Type: FULL_TIME

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... This is a full-time, in-office position. * Design, develop, and maintain ETL/ELT pipelines using ...

Contexture

Senior Data Governance Analyst

Phoenix, AZ · On-site

$6.9K - $8.0K/mo

... Full-time Exempt / Non-Exempt: Exempt Risk Designation: Extremely High Summary: The Senior Data ... Experience with data analytics, data management associated with systems evaluation and human factor ...

Contexture

Senior Data Governance Analyst

Phoenix, AZ · Remote

$6.9K - $8.0K/mo

... Full-time Exempt / Non-Exempt: Exempt Risk Designation: Extremely High Summary: The Senior Data ... Experience with data analytics, data management associated with systems evaluation and human factor ...

Pursuit Aerospace

Lead Data Scientist

Prescott, AZ · On-site +1

$198K/yr

  • Medical

  • Retirement

  • PTO

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... time-series analytics * Must be authorized to work in the U.S. on a full-time basis without ...

Pursuit Aerospace

Lead Data Scientist

Prescott, AZ · On-site

$144K - $198K/yr

  • Medical

  • Retirement

  • PTO

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... time-series analytics * Must be authorized to work in the U.S. on a full-time basis without ...

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All JobsData Analytics JobsFull Time Data Analytics JobsFull Time Data Analytics Jobs in Arizona

Full Time Data Analytics information

Is full time data analytics still a good career?

Full-time data analytics is a strong career choice due to increasing demand for data-driven decision making across industries. Skills in programming, statistical analysis, and tools like SQL and Python are highly valued, and job growth is expected to continue as organizations prioritize data insights.

What are the key skills and qualifications needed to thrive as a full time data analytics professional?

To excel in a Full Time Data Analytics role, strong analytical skills, proficiency in mathematics and statistics, and a relevant degree such as in computer science, statistics, or data science are essential. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, as well as knowledge of database management systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are crucial for transforming complex data into actionable insights that drive business decisions and strategic growth.

What is the difference between Full Time Data Analytics vs Data Analyst?

AspectFull Time Data AnalyticsData Analyst
CredentialsBachelor's degree in Data Science, Analytics, or related field; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree often required; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentFull-time employment in corporate, tech, finance, or healthcare sectorsTypically similar; employed full-time in various industries
Employer & Industry UsageUsed by companies seeking ongoing data analysis supportCommonly used by organizations needing data insights and reporting

Full Time Data Analytics and Data Analyst roles often overlap in credentials, work environment, and industry usage. The main difference lies in scope: Full Time Data Analytics may imply a broader or more strategic role, while Data Analyst is more specific to data reporting and analysis tasks.

What is a full time data analytics job?

Full Time Data Analytics jobs involve working with data to help organizations make informed business decisions. Professionals in these roles collect, process, and interpret large datasets to identify trends, patterns, and opportunities. They use statistical tools, programming languages, and visualization techniques to turn raw data into actionable insights. These positions typically require strong analytical skills and proficiency in software such as Excel, SQL, Python, or R. Full-time roles generally offer regular working hours and employee benefits.

What are some common challenges faced by professionals in full time data analytics roles, and how can they be addressed?

One common challenge in full-time data analytics roles is managing large and complex datasets that may contain inconsistencies or missing values. Analysts often need to spend significant time on data cleaning and preprocessing before meaningful analysis can occur. Additionally, communicating technical findings to non-technical stakeholders can be challenging, requiring strong data visualization and storytelling skills. Collaborating closely with business teams and continuously refining communication methods can help address these challenges and increase the impact of analytics work.

What are the most commonly searched types of Data Analytics jobs in Arizona?

The most popular types of Data Analytics jobs in Arizona are:

What cities in Arizona are hiring for Full Time Data Analytics jobs?

Cities in Arizona with the most Full Time Data Analytics job openings:

Full Time Data Analytics jobs near you

Senior Data Analyst

Contexture

Phoenix, AZ • On-site

$6.9K - $8.0K/mo

Full-time

Posted 12 days ago

Job description

Job Code: SRDANLST
Reports To: Manager, Data Services
Base Location: AZ or CO
Work Status: Virtual Office
Minimum Starting Monthly Range: $6,943
Hiring Range (Monthly Pay): $6,943 - $8,083
Full-time / Part-time Full-time
Exempt / Non-Exempt Exempt
Risk Designation: Extremely High
Summary
The Senior Data Analyst will work as part of the Data Services & Business Intelligence team to derive business value from enterprise data by implementing data analysis and reporting specifications provided by the Data Architect and Director of Data Services & Business Intelligence, including data transformations, consumption, and automation. This role will work with multiple healthcare data sources and cross-functional teams to establish integrated datasets across legacy and greenfield data/platforms. You will work closely with data producers, consumers, and subject matter experts to enhance data service capabilities by implementing data architecture frameworks, standards, and principals, including modeling, metadata, security, and reference data.
This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Essential Duties and Responsibilities include the following:
  • Develop, implement, and maintain data analysis and reporting solutions for data business intelligence, reporting, visualization, and analysis.
  • Support internal and external customers in data analysis and reporting activities, including data validation and in-depth analysis of source data.
  • Assist with the development, implementation, and maintenance of enterprise data management solutions.
  • Develop an expert understanding of internal enterprise data sources.
  • Transform data using industry-standard techniques such as standardization, normalization, de-duplication, filtering, projection, and aggregation.
  • Extract data from enterprise data sources as part of automated consumption data flows.
  • Conduct research and evaluation of data analysis and data measurement methodologies, technologies, and tools and make recommendations for implementation.
  • Prepare and present data analysis findings to internal and external stakeholders.
  • Collaborate with data producers, consumers, and subject matter experts to ensure smooth dissemination and flow of data within the organization.
  • Performs other related duties as assigned.

Skills
  • Demonstrated experience with relational and non-relational data storage models, schemas, and structures used in data lakes and warehouses for big data, business intelligence, reporting, visualization, and analytics.
  • Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL.
  • Ability to understand and analyze various data domains, including clinical, claims, social determinants of health (SDOH), financial, and operational data.
  • Practical experience with industry-accepted standards, best practices, and principles for implementing well-designed data analysis and reporting solutions.
  • Technical Skills and Experience:
    • Data processing experience in a production environment with terabyte-sized datasets that are both structured and unstructured data
      • Required Languages: Python and SQL
      • Required Libraries: PyData stack
    • Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake
    • Leveraging data partitioning, parallelization, and data flow optimization principles
    • SQL query development using query planning and optimization techniques
    • File manipulation across varied file types, encodings, formats, and standards
    • Secure Software Development Lifecycle (SSDLC), version control, and release management
  • Knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
  • Knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
  • Strong understanding of project management disciplines such as Agile and Waterfall.
  • Ability to translate technical requirements into actionable tasks for execution.
  • Ability to work in a fast-paced and rapidly changing environment while consistently meeting strict service level agreement performance requirements.
  • Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Education/Experience
  • Minimum of 5+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 5+ years working with relational databases, 4+ years working with analytical data workloads.
  • Bachelor's Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.
  • Master's Degree is preferred.

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.
The position may require occasional availability for after-hours work, outside of regularly scheduled hours.
The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.
This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.
Physical Demands
The physical demands described here are representative of those necessary to perform the essential functions of the role:
  • Frequent communication and information exchange.
  • Regular movement within the office to access equipment and materials.
  • Ability to remain stationary for extended periods (approximately 50% of the time).
  • Continuous use of computers and office equipment (e.g., keyboard, monitor, printer).
  • Frequent handling of materials up to 10 lbs; occasional handling up to 30 lbs.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.
Benefits: Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.
The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation.
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