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Manager Data Analyst Jobs in Provo, UT (NOW HIRING)

Data Analyst

Lehi, UT · On-site +1

Design and manage performance monitoring systems. * Deliver data-driven insights to address ... Analyze marketing performance, including customer acquisition costs, conversion rates, channel ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Present findings to upper management using well-structured reports and visuals. * Provide ...

New

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Present findings to upper management using well-structured reports and visuals. * Provide ...

New

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Present findings to upper management using well-structured reports and visuals. * Provide ...

New

Manager Data Intelligence (Draper, UT, In-Office) Upbound Group, Inc. (NASDAQ: UPBD) is a ... Analytics & Insights Enablement * Deliver trusted data and intelligence products and self-service ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

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Manager Data Analyst information

See Provo, UT salary details

$32.2K

$78.2K

$128.7K

How much do manager data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data analyst in Provo, UT is $78,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 per year, depending on experience, location, and employer.

What does a Manager Data Analyst do?

A Manager Data Analyst oversees a team of data analysts, guiding their work in collecting, processing, and interpreting complex data to help organizations make informed decisions. They are responsible for developing data strategies, ensuring data accuracy, and translating analytical findings into actionable insights for business leaders. In addition to technical expertise, they often collaborate with other departments, manage projects, and mentor team members to support business goals and drive growth.

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

AspectManager Data AnalystData Analyst
ResponsibilitiesOversees data teams, manages projects, develops strategiesAnalyzes data, prepares reports, supports decision-making
Required SkillsLeadership, project management, advanced analyticsData analysis, SQL, Excel, visualization tools
Experience5+ years, leadership experience often required1-3 years, entry to mid-level
CertificationsRelevant certifications like CAP, PMP beneficialSQL, Excel, Tableau certifications advantageous

The main difference between a Manager Data Analyst and a Data Analyst lies in scope and responsibility. Managers oversee teams and strategic initiatives, while Data Analysts focus on data analysis and reporting. Both roles require strong analytical skills, but managerial positions demand leadership and project management experience.

How does a Manager Data Analyst typically balance hands-on data analysis with overseeing team projects?

A Manager Data Analyst is often responsible for both performing complex data analysis and managing a team of analysts. Balancing these duties involves delegating day-to-day analytical tasks to team members while focusing on project oversight, strategic planning, and stakeholder communication. Managers frequently review team outputs, provide mentorship, and ensure that data-driven insights align with business objectives. This dual role requires strong organizational skills and the ability to shift between technical work and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Manager Data Analyst?

To thrive as a Manager Data Analyst, you need a strong background in statistics, data modeling, and analytics, often supported by a degree in a quantitative field and experience in data analysis roles. Familiarity with tools such as SQL, Python or R, business intelligence platforms (e.g., Tableau, Power BI), and data management systems is typically required. Leadership, problem-solving abilities, and effective communication skills set standout candidates apart by enabling them to lead teams and translate data insights to stakeholders. These skills are vital for driving data-driven business decisions and ensuring the effective functioning of analytics teams.
What are the most commonly searched types of Data Analyst jobs in Provo, UT? The most popular types of Data Analyst jobs in Provo, UT are:

Full-time

Posted 6 days ago


Job description

Position Summary

The Data Analyst collects, integrates, manages, and analyzes complex data to support strategic decisions. This position transforms data from multiple business systems into reliable reporting, actionable insights, and forecasts that help leadership understand business performance and identify opportunities for growth and improvement.


Job Objectives

  1. Build predictive models to drive strategic growth.
  2. Design and manage performance monitoring systems.
  3. Deliver data-driven insights to address business challenges/opportunities.


Essential Job Duties

  • Partner with executives and department leaders to identify business questions, analytical needs, performance indicators, and opportunities for improvement.
  • Develop sales, revenue, demand, customer-acquisition, and marketing-performance forecasts.
  • Collect, integrate, and reconcile data from sales, marketing, website, customer, product, financial, and operational systems.
  • Develop and maintain automated dashboards, reports, scorecards, and executive-level performance summaries.
  • Use appropriate technologies to extract, clean, transform, validate, and analyze large and complex datasets.
  • Analyze marketing performance, including customer acquisition costs, conversion rates, channel profitability, return on advertising spend, and campaign effectiveness.
  • Analyze sales and customer behavior, including purchasing patterns, retention, repeat purchases, product affinity, customer segmentation, and lifetime value.
  • Build tools that help leadership evaluate potential changes in pricing, advertising investment, customer acquisition, conversion, and retention.
  • Investigate discrepancies between reporting systems and recommend solutions to improve data accuracy and consistency.
  • Work with technical teams and third-party vendors to implement new data sources, integrations, and reporting capabilities.
  • Present complex analyses through clear reports, visualizations, presentations, and recommendations for nontechnical audiences.
  • Train stakeholders to interpret dashboards, reports, KPIs, and analytical findings accurately.
  • Prioritize analytical projects according to potential business impact, urgency, data availability, and required resources.
  • Establish and follow standards for data governance, access, security, privacy, retention, and responsible data use.
  • Assist in standardizing definitions and reliable sources of truth for revenue, orders, customers, products, marketing performance, and other key business metrics.


Skills and Qualifications

  • Five or more years of professional experience in data analytics, analytics engineering, business intelligence, or a related discipline.
  • Preferred Bachelor's degree in computer science, statistics, mathematics, economics, information systems, business analytics, or a related field.
  • Experience designing and maintaining relational databases, data models, or cloud-based data warehouses.
  • Experience building or maintaining automated ETL/ELT pipelines that move and transform data between business systems.
  • Advanced data-cleaning, reconciliation, scrubbing, and manipulation skills.
  • Experience with at least one business-intelligence or data-visualization platform, such as Power BI, Tableau, Looker, or a comparable tool.
  • Experience developing dashboards, reports, forecasts, or analytical models that influenced business decisions.
  • Ability to translate ambiguous business questions into well-defined analytical projects and measurable outcomes.
  • Ability to recognize data-quality issues and determine whether available data can support a valid conclusion.
  • Preferred experience working with e-commerce, direct-to-consumer, education, publishing, subscription, or digital-product businesses.


Core Competencies

  • Forecasting and advanced data analysis
  • Marketing and sales analytics
  • Business intelligence and data visualization
  • Data quality, governance, and documentation
  • Strategic and critical thinking
  • Independent problem-solving and accountability


Supervisory Responsibility

This position has no direct reports but collaborates with team leads in the Marketing, Customer Experience, and Operations departments.


Work Environment & Physical Demands

This position works in a home office setting. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is regularly required to use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The employee frequently is required to stand, sit and walk. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.


Position Type and Expected Hours of Work

This is a full-time position. Days and hours of work are between Monday through

Friday. Expected hours: 37-40 per week, flexible schedule between stated hours.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.


We are excited to be part of a growing company. This growth provides opportunities to all of our employees and in turn our mission, and expansion provides opportunities to our client base. It is important to note that this positioncan onlybe offered to individuals residing in the following states: AZ, FL, GA, ID, KY, MI, MN, MS, OH, OK, PA, SC, TN, TX, UT, VA.


Please note: We participate in E-Verify; this program verifies workers are authorized to work in the United States.