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

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

NICE

People Analytics Analyst

Sandy, UT · On-site

Own and maintain HR data across systems, keeping it accurate, consistent, and reliable. * Manage headcount reporting and analysis, including forecasting, movement, targets, overlaps, and trends.

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

Smarty

Data Engineer

Orem, UT · On-site

$100/hr

Manage AWS services including ECS/ECR (containerized pipeline execution), Secrets Manager, SNS, and IAM * Collaborate with data analysts to support Power BI reporting, including scheduled semantic ...

Upbound

Manager Data Intelligence

Draper, UT · On-site

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 ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Waystar

Data Scientist

Lehi, UT · On-site

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Patientco

Data Scientist

Lehi, UT · On-site

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Crew Career Center

Data Scientist

Lehi, UT · On-site

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Provo, UT

Data Analytics Manager information

See Provo, UT salary details

$29.3K

$91.9K

$162.7K

How much do data analytics manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analytics manager in Provo, UT is $91,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $118,700.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Provo, UT? The most popular types of Data Analytics jobs in Provo, UT are:
What are popular job titles related to Data Analytics Manager jobs in Provo, UT? For Data Analytics Manager jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Provo, UT look for? The top searched job categories for Data Analytics Manager jobs in Provo, UT are:
What cities near Provo, UT are hiring for Data Analytics Manager jobs? Cities near Provo, UT with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Provo, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $91,895 per year, or $44.2 per hour.

Data Engineer

Pattern

Lehi, UT

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. 
 
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces-including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
 
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek's Global Most Loved Workplaces.

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making processes. This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise.
 
This is a full-time role and will work a hybrid schedule in Lehi, Utah. 
 
 
Essential Duties and Responsibilities
  • Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse.
  • Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large-scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures.
  • Collaborate with technology teams and partners to specify data requirements and provide access to data.
  • Tune application and query performance using profiling tools and SQL or other relevant query languages.
  • Understand business, operations, and analytics requirements for data
  • Build data expertise and own data quality for assigned areas of ownership.
  • Work with data infrastructure to triage issues and drive to resolution.
Required Qualifications
  • Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience.
  • 3-5 years of experience working with SQL.
  • Familiarity with implementing modern data architecture-based data warehouses.
  • Familiarity with data warehouses such as Redshift, BigQuery, or Snowflake and understanding of data architecture design.
  • Strong communication skills (both in presentation and comprehension).
  • Exposure to data visualization tools like Tableau or ThoughtSpot.
Preferred Qualifications
  • Experience working with time series databases.
  • Experience with SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning.
  • Knowledge of Snowflake.
  • Familiarity with Big Data, non-relational databases, Machine Learning and Data Mining.
  • Familiarity with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue.
  • Familiarity with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch.
  • Understanding of Data Quality and Data Governance.
Our Core Values
  • Data Fanatics: Our edge is always found in the data.
  • Partner Obsessed: We are obsessed with partner success.
  • Team of Doers: We have a bias for action.
  • Game Changers: We encourage innovation.
We are looking for individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern's processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner's expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
  • Initial phone interview with Pattern's talent acquisition team
  • Technical Interview with a member of the team
  • Video interview with a hiring manager
  • Professional reference checks
  • Executive review
  • Offer
How can I stand out as an applicant?
  • Be prepared to talk about professional accomplishments with specific data to quantify examples.
  • Be ready to talk about how you can add value and be the best addition to the team.
  • Focus on mentioning how you would be partner obsessed at Pattern.
  • Be prepared to talk about any side projects related to data and analytics.
Why should I work at Pattern?
 
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
 
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 
 
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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