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Data Science Visualization Jobs in Phoenix, AZ (NOW HIRING)

Java Developer with AWS (Remote)

Tempe, AZ · On-site

$49.75 - $64.25/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... vision, data visualization tools excellent written and verbal communication skills. Preferred ...

Bachelor's degree in Analytics, Data Science, Computer Science, or a related field; or equivalent professional experience. Strong technical expertise in data modeling, visualization, and analytics ...

We need Data Science/Data Engineers /Data Analyst and Java Full stack candidates Preferred SKILLS ... Vision, data visualization tools Candidates lacking technical skills can research our other ...

Data Visualization The ideal candidate's experience may include but is not limited to the following ... Scientists, Analysts and Data Governance professionals. Experience may include but not limited to ...

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills ... vision, data visualization tools. Candidates lacking technical skills can research our other ...

BI Data Analyst

Scottsdale, AZ · On-site

$35 - $45/hr

Visualization & Reporting: Designs, develops, tests, and implements reports and dashboards using ... Science or Analytics. Minimum Experience: 2 years in a data analysis/reporting role and/or 2 years ...

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Data Science Visualization information

See Phoenix, AZ salary details

$53.6K

$108.7K

$160.4K

How much do data science visualization jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data science visualization in Phoenix, AZ is $108,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $122,100.00 per year, depending on experience, location, and employer.

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.

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.

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 job categories do people searching Data Science Visualization jobs in Phoenix, AZ look for? The top searched job categories for Data Science Visualization jobs in Phoenix, AZ are:
Decision Science Analyst (Mid-level) - Auto Modeling

Decision Science Analyst (Mid-level) - Auto Modeling

USAA

Phoenix, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 251 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Decision Science Analyst, you will provide decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in San Antonio, TX, Plano, TX, Colorado, CO, Phoenix, AZ, or Tampa, FL.

Relocation assistance is available for this position.

What you'll do:

  • Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.

  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.

  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

  • Translates recommendation into communication materials to effectively present to various levels of management.

  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.

  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.

  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.

  • Provides subject matter expertise in operationalizing recommendations.

  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).

  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g.Certifications or advanced coursework).

  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

  • 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance).

    Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

  • Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

  • Experience in Property and Casualty Insurance.

  • Working experience using SQL, Tableau, Snowflake and Sigma.

  • US military experience through military service or a military spouse/domestic partner.

Compensation range: The salary range for this position is: $93,770 - $179,240.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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