1

Data Analyst Jobs in Provo, UT (NOW HIRING)

... Data Analyst, or similar role supporting finance data in a B2B SaaS environment. * Strong SQL and dimensional modeling skills. * Experience with financial reporting, forecasting, SaaS metrics, and ...

Associate Technical Product Manager

Draper, UT · Remote

$170K - $197K/yr

Ancestry's Data, AI & Analytics Platforms team is the bridge between raw data and trusted business decisions. In this role, you will act as a Bridge Builder and Steward, ensuring that governed, high ...

Associate Technical Product Manager

Draper, UT · On-site +1

$156K - $180K/yr

Ancestry's Data, AI & Analytics Platforms team is the bridge between raw data and trusted business decisions. In this role, you will act as a Bridge Builder and Steward, ensuring that governed, high ...

Showing results 21-32

Data Analyst information

See Provo, UT salary details

$32.2K

$78.2K

$128.7K

How much do data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for 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 is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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:

What are popular job titles related to Data Analyst jobs in Provo, UT?

For Data Analyst jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Provo, UT look for?

The top searched job categories for Data Analyst jobs in Provo, UT are:

What cities near Provo, UT are hiring for Data Analyst jobs?

Cities near Provo, UT with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Provo, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $78,174 per year, or $37.6 per hour.

AVP, Analytics - Health & Wellness Sales

Synchrony Financial

Draper, UT • On-site

Full-time

Re-posted 27 days ago


Synchrony Financial rating

9.0

Company rating: 9.0 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

2nd of 150 rated financial services


Job description

Role Summary/Purpose:

The AVP, Analytics - Health & Wellness Sales is a senior individual contributor responsible for delivering analytics and performance measurement, actionable insights, and root cause analyses to the leaders of four B2B inside and outside sales teams collectively overseeing 200+ employees who support 280,000+ healthcare providers offering Synchrony financing solutions.

Partnering closely with sales enablement and sales leadership, this role drives goal setting and attainment tracking, develops and measures data-driven selling initiatives, and owns the provider performance data mart and the executive dashboards that underpin Health & Wellness sales reporting. This role also provides dotted-line direction and coaching to India-based analytics resources supporting the team. Deliverables receive regular visibility from senior leadership team in Health & Wellness platform, including the divisional CEO, making accurate, timely, and executive-ready insights a requirement of the role.

Essential Responsibilities:

  • Lead performance measurement and support for four B2B sales teams, including goal setting, KPI definitions, and executive dashboards.

  • Partner with Sales Enablement team, sales leaders and others, to design, implement, and measure outcomes of data-driven selling solutions and field initiatives.

  • Identify growth opportunities and answer business questions, develop analytical frameworks and business cases, and present recommendations to leadership.

  • Perform deep-dive analyses, and create executive-ready materials that communicate insights clearly to technical and non-technical audiences.

  • Daily use of SAS and SQL to analyze structured and unstructured data sources that evolve over time, involving significant data staging, hygiene, and consolidation work.

  • Own the provider performance data mart and reporting layer (e.g., datasets, feeds, metric definitions, views), including data quality, troubleshooting, and enhancements.

  • Translate business requirements into clear metrics, reporting, and analytics deliverables; ensure consistent definitions and governance.

  • Drive operational efficiency and standard processes for analytics delivery; coordinate work with offshore analytics support as needed.

  • Perform other duties and special projects as assigned.

Qualifications/Requirements:

  • Bachelor's degree and 5+ years of professional analytics experience with demonstrated business impact; or in lieu of a Bachelors Degree, a High School Diploma/GED and 9+ years of analytics experience.

  • 3+ years of hands-on programming/data mining using SAS and SQL (building datasets, not only querying).

  • MS Excel

  • Demonstrated experience supporting commercial stakeholders (e.g., sales, marketing, finance, credit risk, client teams) by synthesizing insights from structured analyses to inform business decisions and communicating with stakeholders in an effective manner

  • Experience leading large, multi-stakeholder analytics initiatives end-to-end (requirements build insights adoption)

  • Strong executive communication skills (ability to influence decisions using data, and present to senior leaders).

  • Experience working with BI/reporting tools (e.g., Tableau).

  • Ability and flexibility to travel for business as required

Desired Characteristics:

  • Experience with analytics in consumer banking/consumer lending environments.

  • Statistics/decision science, predictive analytics, or test-and-learn measurement experience.

  • Familiarity with modern data/analytics tooling on cloud platforms (e.g., AWS ecosystem).

  • Knowledge of consumer lending products and portfolio-level performance concepts.

  • Understanding of B2B sales measurement/forecasting concepts.

  • Hands-on programming/data mining using Python (building datasets, not just querying).

  • Hands-on experience with Salesforce UI for reporting and data extracts.

Grade/Level: 11

The salary range for this position is 115,000.00 - 200,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time

Job Family Group:

Data Analytics

What Synchrony Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom