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Data Science Visualization Jobs in Arizona (NOW HIRING)

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

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All JobsData Science Visualization JobsData Science Visualization Jobs in Arizona

Data Science Visualization information

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in Arizona?

For Data Science Visualization jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Arizona look for?

The top searched job categories for Data Science Visualization jobs in Arizona are:

What cities in Arizona are hiring for Data Science Visualization jobs?

Cities in Arizona with the most Data Science Visualization job openings:

Data Science Visualization jobs near you

Senior Data Visualization Developer/Full Stack Developer - Contractor

Mesa, AZ • On-site, Remote

StateServ Medical
Health Care and Social Assistance • 51 - 200 employees
Learn more about StateServ Medicalexternal

Full-time

Posted 3 days ago

New

Job description

Essential Functions
Note: The essential duties and primary accountabilities below are intended to describe the general content of and
requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or
most of the primary accountabilities listed below. Specific tasks, responsibilities or competencies may be documented in the incumbent’s performance objectives as outlined by the incumbent’s immediate supervisor or manager.

1. Design, develop, and maintain advanced data visualizations and dashboards using tools like Tableau, Power BI, D3.js, or similar platforms.
2. Translate business requirements into effective visual solutions that communicate insights clearly and accurately.
3. Collaborate with cross-functional teams to gather data needs and ensure visualizations align with strategic objectives.
4. Optimize performance and usability of dashboards and reports for various audiences.
5. Mentor junior developers and contribute to visualization standards and best practices
6. Stay current with emerging trends in data visualization and analytics technologies.
Marginal or Additional Functions

1. Protects company's intellectual property and the privacy of customers' data.
2. Performs other duties as assigned or apparent.
Supervisory and Managerial Responsibility
• Supervisory/managerial responsibility is not applicable.

Knowledge, Skills & Abilities

Education, Licensure or Certification:

• Bachelor's and/or Master's degree in Computer Science, Data Science, Information Systems, or a related field or equivalent combination of education and experience

Work Experience or Related Experience

• 5+years of experience in data visualization or BI development
• Experience in one or more visualization tools (e.g., Tableau, Power BI, Qlik, Looker)
• Strong proficiency in SQL and data modeling

Specialized Knowledge, Skills & Abilities

• Experience with scripting languages (e.g., Python, R) and web technologies (e.g, JavaScript, HTML, CSS) is a plus
• Excellent communication and storytelling skills to convey data insights effectively
• Advanced proficiency in SQL for data extraction, transformation, and analysis across large, complex datasets preferred.
• Hands-on expertise with Snowflake: data modeling, performance tuning, and working with semi- structured data (e.g., JSON, XML) is a plus
• Familiarity with ETL/ELT pipelines and orchestration tools like SSIS, Apache Airflow, or Azure Data Factory preferred
• Understanding of data warehousing concepts, dimensional modeling, and best practices for scalable analytics preferred
• Experience integrating visualization tools with cloud-based data sources and APIs preferred
• Knowledge of data governance, security, and compliance in cloud environments preferred
• Familiarity with Agile development methodologies is a plus
• Knowledge of UX/UI principles in dashboard design is preferred
• Ability to work independently and manage multiple projects simultaneously

Travel Requirements and Conditions

• Travel is not typically required for this position
Work Environment, Conditions and Demands

• Work is generally performed in an office environment or remote setting in which there is only minimal exposure to unpleasant and/or hazardous working conditions.
Physical Requirements and Demands
Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions as described.

• Work requires normal range of hearing and eyesight. Incumbent must be able to use a telephone or head set equipment and operate a keyboard and other office equipment. The ability to perform work at a computer terminal for 6-8 hours a day and function in an environment with constant interruptions is
required. At times, incumbents are subject to sitting for prolonged periods. Infrequently, incumbent must be able to lift and move material weighing up to 20 lbs. Incumbent may experience elevated levels of stress during periods of decreased activity and with work entailing multiple deadlines.

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