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Senior Data Visualization Designer Jobs in Utah (NOW HIRING)

Senior Designer

Draper, UT · On-site

$95K - $101K/yr

SUMMARY As a Commercial Furniture Senior Designer, you work on projects of all sizes and ... Knowledge of visualization tools such as Enscape, Sketchup, Twin Motion a plus VALUE-BASED ...

Senior Designer

Draper, UT

$95K - $101K/yr

SUMMARY  As a Commercial Furniture Senior Designer, you work on projects of all sizes and ... Knowledge of visualization tools such as Enscape, Sketchup, Twin Motion a plus VALUE-BASED ...

Power BI Intern

Logan, UT · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business ... teams or senior leadership. * Integrates data from multiple data sources or functional areas ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Power BI Intern

Ogden, UT · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

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Senior Data Visualization Designer information

How does a Senior Data Visualization Designer typically collaborate with data scientists and stakeholders on projects?

A Senior Data Visualization Designer often serves as a bridge between data scientists, who generate insights, and business stakeholders, who need to understand those insights clearly. They participate in project meetings to gather requirements, review preliminary data, and discuss goals and potential use cases. Designers work closely with data scientists to ensure accurate representation of findings, while also consulting stakeholders to refine visuals for clarity and impact. This role requires strong communication skills and the ability to translate complex data into compelling, user-friendly visuals that support informed decision-making.

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

To thrive as a Senior Data Visualization Designer, you need expertise in data analysis, graphic design, and a strong foundation in statistics, usually supported by a degree in design, computer science, or a related field. Proficiency with tools such as Tableau, Power BI, D3.js, Adobe Creative Suite, and data querying languages like SQL is typically required. Strong communication, storytelling abilities, and attention to detail help you convey complex data insights clearly and effectively to diverse audiences. These skills ensure that data-driven decisions are supported by clear, compelling visual narratives that drive business impact.

What does a Senior Data Visualization Designer do?

A Senior Data Visualization Designer is responsible for creating clear, compelling, and interactive visual representations of complex data to help businesses and stakeholders make informed decisions. They work closely with data analysts, engineers, and business leaders to understand data requirements and translate them into visual formats such as dashboards, charts, and infographics. Their role also involves ensuring that visualizations are accessible, accurate, and aligned with user needs, while often mentoring junior designers and setting visualization standards within the organization.

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

AspectSenior Data Visualization DesignerData Analyst
Required SkillsAdvanced visualization tools, design principles, storytellingData manipulation, statistical analysis, reporting
Work EnvironmentDesign-focused, creative teams, cross-functional projectsData-driven, business intelligence, reporting teams
Common CertificationsData visualization certifications, UX/UI designSQL, Excel, statistical certifications

While both roles work with data, a Senior Data Visualization Designer primarily focuses on creating compelling visual representations to communicate insights, whereas a Data Analyst emphasizes analyzing data sets to generate reports and support decision-making. The roles often collaborate but differ in their core responsibilities and skill sets.

What cities in Utah are hiring for Senior Data Visualization Designer jobs? Cities in Utah with the most Senior Data Visualization Designer job openings:

Senior Data Analyst - Fraud Strategy & Operations

Raisin

Lehi, UT • Hybrid

$80K - $101K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Team

The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company's growth. Our work bridges business, compliance, and technology-analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences.
We collaborate closely with cross-functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability.
Your Responsibilities
As the Senior Data Analyst - Fraud Strategy & Operations, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes. Using SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails. 
This role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy.

  • Advanced Fraud Strategy & Analytics
    - Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform.
    - Deploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers.
    - Drive Strategy: Elevate Raisin US's capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today.
    - KPIs & Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership.
  • Model Development & Maintenance
    - Build Predictive Models: Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement).
    - Feature Engineering: Develop model features based on identity, device, behavioral, and transactional data.
    - Cross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines.
  • AML & Financial Crime Collaboration
    - Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows.
    - Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring.
    - Continuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics.

Your Profile

  • Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments.
  • Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles.
  • Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must.
  • Payment System Domain Expertise: Deep understanding of Deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred.
  • Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment.

Join our mission, join our team - and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

  • Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
  • Employee Development Budget of $2,200 and 4 full training days per year.
  • Company 401k contribution of 5%.
  • Healthcare coverage contribution, including medical, dental and vision.
  • Commuter benefits and flexible working from home policy.
  • Regular team events and yearly Summer and Winter Party.