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Senior Data Visualization Jobs in Utah (NOW HIRING)

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.) * Demonstrated ...

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.) * Demonstrated ...

... data visualization tools (DOMO, AWS Quicksight, Tableau, etc.) • Demonstrated mastery of machine learning algorithms and techniques • Strong problem-solving skills and ability to work ...

$44 - $69.85/hr

Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with ... Data visualization tools * Office applications proficiency * Communication skills * Health care ...

Data Analyst Technical Senior

Murray, UT · On-site

$44 - $69.85/hr

Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with ... Data visualization tools * Office applications proficiency * Communication skills * Health care ...

$49.24 - $77.53/hr

Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with ... Data visualization tools * Office applications proficiency * Communication skills * Health care ...

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Senior Data Visualization information

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

AspectSenior Data VisualizationData Analyst
Required SkillsAdvanced data visualization tools, storytelling, designData manipulation, basic visualization, statistical analysis
Work EnvironmentDesign-focused, cross-functional teamsData-focused, business intelligence teams
CertificationsData visualization tools (Tableau, Power BI)Excel, SQL, basic analytics certifications

Senior Data Visualization roles focus on creating compelling visual stories from complex data, often requiring advanced design and storytelling skills. Data Analysts perform broader data analysis, including data cleaning, statistical analysis, and reporting. While both roles work with data, Senior Data Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and insights.

Is data visualization in high demand?

Data visualization is in high demand across industries as organizations seek to interpret large data sets effectively. Senior data visualization professionals with skills in tools like Tableau, Power BI, or D3.js are increasingly sought after to support data-driven decision making.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It offers opportunities across industries, often requiring strong analytical skills and knowledge of data tools, with demand expected to grow as organizations rely more on data-driven decision making.

What is a Senior Data Visualization specialist?

A Senior Data Visualization specialist is an experienced professional who designs, builds, and manages advanced visual representations of data to help organizations make informed decisions. They work with complex datasets, use tools like Tableau, Power BI, or D3.js, and collaborate with data analysts, engineers, and business stakeholders. Their responsibilities often include translating data insights into clear dashboards, interactive reports, and visual stories that communicate trends, patterns, and actionable intelligence. In addition to technical skills, they often mentor junior team members and contribute to setting best practices in visualization and data storytelling.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data visualization professional or entering data science. Many individuals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data tools, often through online courses or certifications. Experience, continuous learning, and a strong portfolio are more important than age in this field.

What are some common challenges faced by Senior Data Visualization professionals when collaborating with non-technical stakeholders?

Senior Data Visualization professionals often encounter challenges when translating complex data insights into visuals that are easily understood by non-technical stakeholders. It’s crucial to balance accuracy and clarity, ensuring that visuals tell a compelling story without overwhelming the audience with technical jargon. Effective communication and active listening are key, as is iterating on visual prototypes based on stakeholder feedback. Building strong relationships with cross-functional teams helps ensure that the final product meets both business objectives and user needs.

What are the key skills and qualifications needed to thrive as a Senior Data Visualization specialist, and why are they important?

To excel as a Senior Data Visualization specialist, you need expertise in data analysis, design principles, and proficiency with data visualization concepts, usually backed by a degree in data science, statistics, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and programming languages such as Python or R is commonly required. Strong communication, storytelling ability, and attention to detail are crucial soft skills for conveying complex data insights to diverse audiences. These competencies ensure that data-driven findings are accessible, actionable, and valuable to stakeholders across the organization.

Will AI replace data analyst?

AI tools can automate routine data processing and visualization tasks, but senior data visualization professionals are essential for interpreting complex data, designing effective visualizations, and providing strategic insights. AI complements these roles by enhancing efficiency, but human expertise remains critical for nuanced analysis and decision-making. Skills in data storytelling and proficiency with visualization software like Tableau or Power BI are valuable in this evolving environment.
What are the most commonly searched types of Data Visualization jobs in Utah? The most popular types of Data Visualization jobs in Utah are:
What are popular job titles related to Senior Data Visualization jobs in Utah? For Senior Data Visualization jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Senior Data Visualization jobs in Utah look for? The top searched job categories for Senior Data Visualization jobs in Utah are:
What cities in Utah are hiring for Senior Data Visualization jobs? Cities in Utah with the most Senior Data Visualization job openings:
Infographic showing various Senior Data Visualization job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

nCino

Lehi, UT • On-site

$107K - $183K/yr

Full-time

Re-posted 7 days ago


Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.
Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation and insights into our products.
As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful insights, and develop/deploy/monitor data-driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry.
Essential Functions:
  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages
  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems
  • Experience in large data sets and algorithms
  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems
  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner
  • Understanding of data science priorities and how each contributes to the success of nCino
  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches
  • Extensive experience in developing, deploying, and monitoring complex machine learning models
  • Lead and guide teams in implementing programming best practices and adopting emerging technologies
  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.
  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Qualifications:
Required:
  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education
  • Demonstrated mastery of programming skills in Python or R
  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)
  • Demonstrated mastery of machine learning algorithms and techniques
  • Strong problem-solving skills and ability to work independently and collaboratively
  • Strong experience with SQL or noSQL and database management systems
  • Experience deploying and monitoring models in production
  • Strong understanding of the business domain
  • Ability to translate business questions into analytics projects and deliver actionable insights
  • Flexibility and the ability to be productive in a fast-paced, team environment
  • Excellent verbal and written communication skills for technical and non-technical audiences
  • Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control

Desired:
  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field
  • Experience developing and deploying models using Databricks and mlflow
  • Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight
  • Experience with Agile software development

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.
The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.
The base salary range for this job is:
$107,900.00 - $183,400.00
nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.
Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.