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Senior Manager Data Analytics Jobs in Utah (NOW HIRING)

This is a senior individual-contributor / player-coach role with four direct reports: a Data ... Analytics Service Delivery -- Ensure every team has timely, trusted data; manage analyst capacity ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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Senior Manager Data Analytics information

See Utah salary details

$39.6K

$113K

$181.3K

How much do senior manager data analytics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for senior manager data analytics in Utah is $113,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $129,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Utah? For Senior Manager Data Analytics jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Senior Manager Data Analytics jobs in Utah look for? The top searched job categories for Senior Manager Data Analytics jobs in Utah are:
What cities in Utah are hiring for Senior Manager Data Analytics jobs? Cities in Utah with the most Senior Manager Data Analytics job openings:
Infographic showing various Senior Manager Data Analytics job openings in Utah as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,039 per year, or $54.3 per hour.
Product Manager, Data & Analytics

Product Manager, Data & Analytics

Natures Sunshine Products

Lehi, UT โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About the Role

Nature's Sunshine is entering an ambitious new phase of growth, and data will play a central role in how the company scales. As part of that investment, we are building a new Enterprise Data & Analytics function to unlock trusted data, sharpen decision-making, and help teams improve business performance.

We are looking for a Product Manager to turn business needs into a focused roadmap for analytics products, reporting experiences, KPI adoption, and decision-support capabilities.

This is an analytics product role, not project coordination or report delivery. You will own the why, what, and priority of analytics products while partnering with analytics engineers, BI developers, business leaders, IT, and data governance stakeholders.

What You Will Own
  • Own the analytics product roadmap for assigned business domains or enterprise priorities.
  • Lead intake, discovery, scoping, and prioritization for analytics requests, dashboards, reporting products, and decision-support tools.
  • Make tradeoff recommendations based on business value, urgency, effort, reusability, adoption likelihood, and strategic priority.
  • Translate unclear needs into problem statements, requirements, user stories, acceptance criteria, and success measures.
  • Own backlog artifacts in Azure DevOps, including epics, features, user stories, dependencies, and prioritization context.
  • Partner with business leaders to clarify decision needs, reporting gaps, KPI ownership, and metric definitions.
  • Partner with Data Engineering, Analytics Engineering, and BI Development to translate business priorities into reliable data pipelines, governed metrics, semantic models, reusable data assets, and usable reporting experiences
  • Track adoption, usage, satisfaction, and business impact; reduce duplicate reporting and low-value one-off work.
What We Are Looking ForRequired Qualifications
  • 4+ years of experience in product management, analytics product ownership, business analysis, BI delivery, consulting, or a related role.
  • Proven ability to translate business problems into clear analytics requirements and prioritized delivery plans.
  • Experience working with BI tools, reporting products, KPIs, analytics products, or enterprise data platforms.
  • Strong stakeholder management skills across business, technical, and leadership audiences.
  • Ability to separate the stated request from the underlying business problem and right analytics solution.
  • Sound prioritization judgment across value, urgency, complexity, reusability, and strategic fit.
  • Clear written and verbal communication; comfort operating through ambiguity and competing priorities.
  • Ability to partner with technical teams without personally owning data engineering, semantic modeling, or dashboard development.
Preferred Qualifications
  • Experience with Power BI, Microsoft Fabric, Azure, Snowflake, Databricks, Tableau, Looker, or similar platforms.
  • Experience managing analytics roadmaps, BI backlogs, data product portfolios, or reporting governance processes.
  • Experience using Azure DevOps or a similar tool to manage epics, features, user stories, and acceptance criteria.
  • Experience communicating roadmap decisions, tradeoffs, and delivery status to senior stakeholders.
  • Familiarity with data governance, KPI standardization, semantic models, certified datasets, or enterprise reporting standards.
  • Interest in using AI-assisted workflows to improve discovery, documentation, backlog refinement, stakeholder communication, and product management practices.
Who Will Thrive Here

You will thrive in this role if you like turning messy business needs into clear choices, asking sharp questions, and focusing teams on analytics work that improves decisions.

You should be able to challenge assumptions, redirect low-value requests, and say not yet or not that way with credibility and tact. You do not need to be the deepest technical expert in the room, but you do need enough analytics fluency to understand tradeoffs, dependencies, data quality risks, and adoption barriers.

How Success Will Be Measured
  • Roadmap priorities are clear, visible, and aligned to business needs.
  • Intake and prioritization decisions are transparent and defensible.
  • Analytics products have clear users, owners, success criteria, and lifecycle status.
  • Adoption, usage, and satisfaction improve for priority analytics products.
  • Duplicate, low-value, or poorly defined reporting requests decrease over time

#ZR


Nature's Sunshine is dedicated to being a Force of Nature that champions social and environmental wellness. We are focused on building a team of professionals with diverse backgrounds and experiences to become the natural supplement company of the future. By celebrating the individuality and unique perspectives of our workforce, we empower our employees to share the healing power of nature with more people around the world. And through our commitment to sustainable processes, renewable energy usage and waste reduction initiatives, we're devoted to preserving nature and its power for future generations.

We believe we are stronger together, and our ongoing commitment to diversity, equity, inclusion and belonging ensures that every employee is treated with fairness and respect. Because doing what's right-in the right way-is how we succeed as a company and a society.