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Data Science Visualization Jobs in Nevada (NOW HIRING)

We provide the data planning, management, and visualization services that allow our stakeholders to ... Joining us means working at the intersection of data science, marketing operations, and high-stakes ...

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

Required : • Bachelors degree in computer science, Engineering, or a related field. • 8 + year ... data visualization tools Apache Superset and dashboard development. • Understanding of ...

Linear Algebra Tutor

Henderson, NV · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Linear Algebra Tutor

Reno, NV · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Linear Algebra Tutor

Las Vegas, NV · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

... visualization - Implementing data security best practices to protect sensitive information and ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Perform analysis of test data, including signal post-processing and/or noise levels, visualization ... The candidate must have a Bachelor of Science in Engineering from an ABET-accredited academic ...

Showing results 41-60

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.

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 are popular job titles related to Data Science Visualization jobs in Nevada? For Data Science Visualization jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Data Science Visualization jobs? Cities in Nevada with the most Data Science Visualization job openings:
Infographic showing various Data Science Visualization job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Managed Services - BI Engineer - Senior Associate

Pwc

Las Vegas, NV • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - BI Engineer - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity.
In this role at PwC, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will respond effectively to diverse perspectives, using a broad range of tools and methodologies to generate new ideas and solve problems. Your critical thinking skills will help break down complex concepts, and you will develop a deeper understanding of the business context and how it is evolving. Upholding professional and technical standards, you will interpret data to inform insights and recommendations, contributing to the firm's overall business strategies.
Responsibilities
- Developing and implementing innovative business intelligence solutions to optimize client operations and enhance competitive advantage
- Leveraging advanced analytics techniques to drive strategic insights and informed decision-making for clients
- Managing and inspiring teams to deliver quality work while navigating complex situations
- Building and maintaining meaningful client relationships to anticipate and address their needs effectively
- Utilizing tools such as Oracle Business Intelligence and QlikView to enhance data visualization and reporting capabilities
- Analyzing complex data sets to inform insights and recommendations for business performance improvement
- Upholding professional and technical standards in all client engagements
- Collaborating with stakeholders to identify opportunities for continuous process improvement and data quality enhancement
- Applying critical thinking to break down complex concepts and develop a deeper understanding of the business context
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven insights
- Developing data pipelines and architecture for seamless data flow
- Excelling in Python and Java programming for advanced analytics
- Leveraging Oracle Business Intelligence (BI) for strategic decision-making
- Implementing QlikView and Spotfire for enhanced data visualization
- Embracing change and fostering creativity in complex environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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