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Director Data Visualization Jobs in Utah (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

... visualization - Implementing data security best practices to protect sensitive information and maintain compliance - Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient ...

Exiger

Forward Deployed Engineer

South Ogden, UT · Hybrid

Partner with program directors, data scientists, and software engineers to operationalize models ... Strong systems thinking across data pipelines, APIs, models, and visualization layers * Ability to ...

AECOM

Transportation Asset Manager

Murray, UT · On-site

Experience with GIS, data visualization, and transportation modeling software. * Familiarity with ... Minimum of 5 years of experience in transportation asset management, with direct involvement in ...

Exiger

Forward Deployed Engineer

South Ogden, UT · On-site

Partner with program directors, data scientists, and software engineers to operationalize models ... Strong systems thinking across data pipelines, APIs, models, and visualization layers * Ability to ...

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Director Data Visualization information

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

AspectDirector Data VisualizationData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experience in data visualization toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeadership role overseeing visualization teams, strategic planning, and project managementAnalyzing data sets, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed in tech, finance, marketing, and large organizations for strategic insightsCommon across various industries for data interpretation and reporting

The main difference is that a Director Data Visualization leads visualization teams and sets strategic goals, while a Data Analyst focuses on analyzing data and creating visual reports. The director role involves higher-level management and planning, whereas the analyst role is more hands-on with data processing and reporting tasks.

Is data visualization a good career?

Data visualization is a valuable career for professionals skilled in data analysis, design, and tools like Tableau or Power BI. It offers opportunities in various industries, often with a demand for strong communication skills and the ability to interpret complex data visually. The field can provide steady employment and growth potential for those with relevant technical and analytical expertise.

What are some common challenges faced by a Director of Data Visualization when leading cross-functional teams?

As a Director of Data Visualization, one common challenge is bridging the gap between technical data teams and non-technical stakeholders. You'll often need to translate complex data insights into clear, compelling visuals that drive business decisions, while aligning the expectations and goals of multiple departments. Ensuring data accuracy, managing tight deadlines, and fostering collaboration among analysts, designers, and executives are also key aspects of the role. Effective communication and strong project management skills are essential to overcome these challenges and deliver impactful visualizations.

How to become a director of analytics?

To become a director of analytics, candidates typically need extensive experience in data analysis, data management, and leadership roles, often requiring 8-10 years in related fields. A strong understanding of data visualization tools, programming languages like SQL and Python, and advanced degrees such as a master's in data science or business analytics are common requirements. Developing strategic thinking, project management skills, and a proven track record of leading analytics teams are essential for advancement to this senior role.

How much does a director of data visualization make?

A director of data visualization typically earns between $100,000 and $180,000 annually, depending on experience, industry, and location. They often oversee teams, develop data presentation strategies, and require strong skills in tools like Tableau or Power BI.

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

A Director of Data Visualization requires expertise in data analysis, visualization principles, and a background in statistics or computer science, often supported by a relevant degree. Proficiency with visualization tools such as Tableau, Power BI, D3.js, and familiarity with database systems are essential, and certifications in these platforms are advantageous. Strong leadership, communication, and storytelling skills help translate complex data into actionable insights for diverse stakeholders. These competencies are crucial for driving data-driven decision-making and effectively communicating strategic information across an organization.

What are the 5 C's of data visualization?

The 5 C's of data visualization are clarity, context, conciseness, consistency, and credibility. These principles help a data visualization professional, such as a Director of Data Visualization, create effective and trustworthy visual representations of data by ensuring they are easy to understand, relevant, succinct, uniform, and accurate.

What does a Director of Data Visualization do?

A Director of Data Visualization oversees the design, development, and implementation of data visualization strategies within an organization. They lead teams that transform complex data sets into clear, actionable visual formats to support decision-making. This role often involves collaborating with data scientists, analysts, and business leaders to ensure visualizations meet organizational goals and communicate insights effectively. Additionally, they may set best practices, choose visualization tools, and guide the overall data storytelling approach.
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 cities in Utah are hiring for Director Data Visualization jobs? Cities in Utah with the most Director Data Visualization job openings:
Director Data Visualization jobs near you
Director of Analytics, Apple-Certified Branded Manufacturer (MTZ)

Director of Analytics, Apple-Certified Branded Manufacturer (MTZ)

eCommerce

Midvale, UT

Full-time

Posted 21 days ago

Job description

ABOUT THE ROLE

The Director of Analytics owns the data architecture, tagging standard, attribution methodology, and reporting layer across a multi-brand consumer-products platform — .com properties (US and international), B2B, Amazon, and Walmart.
Your mission will be to …

1.) define and build a clean, margin-aware data foundation that the CMO, CEO, and VP of Ecommerce can actually run the business from,
2.) tell leadership where to focus the business — which channels to invest in, which SKUs to push, which conversion gaps to close, and where contribution margin is leaking — with the analytical rigor to back every recommendation, and
3.) move the company’s attribution model off last-click and toward incrementality, in step with the GTM rebuild that is already in flight. THIS IS NOT a managing-down role to start — you will direct two contractors (an Analytics Engineer and a Tagging & Tracking Specialist) and build a permanent team around you as the function matures.

AREAS OF OVERSIGHT

Data Architecture & Infrastructure
  • Own the marketing and Ecommerce data architecture across both brands, from raw event collection through transformation, storage, and visualization. That means full coverage: .com properties in the US and internationally, B2B, Amazon, and Walmart. If data moves through a customer-facing touchpoint, you are responsible for making sure it’s captured, structured, and usable.
  • Define the standard for what “clean” looks like at the tagging and tracking layer. Tagging must be comprehensive, accurate, and maintained across every Ecommerce and marketing touchpoint — paid media, email, organic, B2B, and the marketplaces. If a channel touches a customer and it isn’t tracked correctly, that’s on your watch.
  • Build and maintain data pipelines that consolidate channel-level and site-level data into a single, reliable source of truth across the full brand portfolio. The business is running two brands across multiple channels and platforms simultaneously. Your job is to make the data tell one coherent story — not five fragmented ones.
  • Call the shots on the right tools for the job. The current stack includes GA4, Google Tag Manager, Looker / Looker Studio, BigCommerce, and Shopify. A platform consolidation is actively under evaluation, and the new Director will have a real voice in how that decision gets made. This is not a “maintain what’s already built” role — it’s a “make the call and own it” role.
  • You are not the engineer — you are the standard-setter and the director. You define the requirements, hold the bar, and manage the Analytics Engineer and Tagging & Tracking contractors who do the build. The expectation is that you know exactly what good looks like and can get others to build it that way, consistently.
Margin Intelligence & Where-to-Point-the-Business
  • Build the analytical layer that tells leadership where to point the rifle. Which channels to invest in. Which SKUs to push. Which price tiers to capture. Which conversion gaps to close. Which agency dollars to redeploy. Every recommendation you make must be defensible and tied directly to a P&L outcome — not a dashboard metric that looks good in a slide deck.
  • Serve as the analytics resource across every Ecommerce vertical in the business. Merchandising, CRO, UI/UX, Lifecycle & CRM, Inventory, B2B, and International all run through you. Your job is to make sure every function is operating from the same clean, margin-aware foundation — not running off their own spreadsheets and drawing their own conclusions.
  • Own contribution margin reporting at the SKU, channel, and site level across the full portfolio. This is not a high-level roll-up exercise. You need to know — at any given moment — exactly where margin is being lost and precisely where it can be grown. If leadership has to ask, you’re already behind.
  • Master the four modes of analytics and apply them deliberately: descriptive, diagnostic, predictive, and prescriptive. What happened. Why it happened. What will happen next. What you should do about it. The CEO speaks this language fluently and will expect his Director of Analytics to speak it back with equal precision and confidence.
  • Monitor the highest-margin products and channels on a continuous basis and flag performance shifts before they become problems. The goal is to surface a deteriorating trend while it’s still a brushfire — not after it’s compounded into a quarter-end surprise that nobody saw coming. Your job is to see it coming.
Attribution & Measurement
  • Own the attribution methodology across all .com properties. Define how credit is assigned across channels and make sure the model reflects the actual customer journey — not the platform’s self-serving version of it. Google will tell you Google wins. Meta will tell you Meta wins. Your job is to find out who actually wins.
  • Stage the move toward incrementality-based attribution in the right sequence. Tagging governance comes first. Multi-touch comes second. Geo holdouts and lift studies come third. MMM enters the picture only where the data can actually support it. There is no shortcut here — and no incrementality theater built on top of broken tagging.
  • Partner with the Head of Performance Marketing through an active agency evaluation. That means assessing paid-media partners and attribution technologies through a margin lens, not a revenue lens. An agency that drives top-line growth while quietly destroying margin is not a win — and you’ll be the one who can prove it.
  • Establish UTM standards, tracking-parameter governance, and data-governance practices that hold across every team, every agency, and every property. Not guidelines. Not suggestions. Standards — with teeth. If an agency or internal team goes rogue on tagging, the data breaks and the attribution model lies. Your governance framework is what prevents that from happening at scale.