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Excel Data Analyst Jobs in Utah (NOW HIRING)

Experience creating reports and visualizations using Microsoft Excel, or Tableau, or similar tools ... Experience conducting root cause analysis of production data using techniques like log analysis and ...

This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for Finance, and a Data Analyst ...

Data Engineer/Analyst

Layton, UT · On-site

$90 - $120/hr

Pandas, SQLAlchemy, pyodbc) to optimize data processing and analysis * Act as data steward by governing and accounting for inbound and outbound datafeeds, coordinating with interorganizational ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Experience with Microsoft Office skills (Word, PowerPoint, and Excel) * Current and Active Top ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Experience with Microsoft Office skills (Word, PowerPoint, and Excel) * Current and Active Top ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Experience with Microsoft Office skills (Word, PowerPoint, and Excel) * Current and Active Top ...

Showing results 41-60

Excel Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do excel data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for excel data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is an Excel data analyst?

An Excel Data Analyst is responsible for interpreting and analyzing data using Microsoft Excel to help businesses make informed decisions. They work with datasets, create reports, build dashboards, and use formulas and pivot tables to identify trends and insights. This role often involves data cleaning, visualization, and automation using Excel functions like VLOOKUP, INDEX-MATCH, and macros. Excel Data Analysts are crucial in optimizing workflows and improving data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as an Excel data analyst?

To thrive as an Excel Data Analyst, you need advanced Excel skills, strong analytical abilities, and attention to detail, typically supported by a background in mathematics, statistics, or a related field. Familiarity with data visualization tools, database systems, and relevant certifications such as Microsoft Excel certification are highly valued. Excellent problem-solving, communication, and time management skills enable you to interpret data effectively and present findings clearly. These skills are critical for extracting actionable insights from complex data sets and supporting data-driven decision-making processes within an organization.

What are the typical career advancement opportunities for an Excel data analyst?

Excel Data Analysts often have multiple pathways for career growth, including moving into senior analyst roles, specializing in business intelligence, or transitioning to data science positions. Many professionals expand their technical toolkit by learning advanced analytics platforms, programming languages (like Python or SQL), or gaining experience with data visualization software such as Power BI or Tableau. Advancement may also come through industry-specific expertise or taking on leadership and project management responsibilities. With experience, Excel Data Analysts can become invaluable team members who drive strategic business decisions and may lead analytics teams.

What are the most commonly searched types of Excel Data Analyst jobs in Utah?

The most popular types of Excel Data Analyst jobs in Utah are:

Infographic showing various Excel Data Analyst job openings in Utah as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data & Reporting - Content Analyst

Ancestry

Draper, UT • On-site

$85 - $115/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Ancestry.com Operations Inc. seeks Data & Reporting – Content Analyst in Draper, UT

Job Duties: Participate in product planning, new product design, execution, review, and continuous product feature improvement. Run exploratory analyses, uncover new areas of opportunity, generate hypotheses, and quickly assess the potential update of a given opportunity, by leveraging both quantitative and qualitative customer satisfaction survey data. Implement and analyze A/B or Multi-Variate Tests to measure the impact of product decisions and changes. Collaborate with business partners to identify critical business problems/key knowledge and translate them into technical analyses that explain what happened and why. Identify and understand various data sources; build tools and services to improve analysis and experimentation throughput, and work with Data Warehouse team to make online and offline data cross platforms available. Work with Ancestry’s product management team to analyze and decipher insights to understand user product engagement (what and why) by leveraging both quantitative and qualitative customer satisfaction survey data. Telecommuting may be permitted depending on business need.

Minimum Requirements: Bachelor’s degree, or foreign equivalent, in Computer Science, Statistics, Mathematics, Business Analytics, or a closely related field plus 2 years of progressively responsible experience in the job offered or a related occupation.

Special Skill Requirements:
  • Experience using Python, or SQL, or similar scripting/querying languages to analyze and validate data across complex systems and customer workflows (2 years).
  • Experience creating reports and visualizations using Microsoft Excel, or Tableau, or similar tools, presenting product performance KPIs, user behavior trends, and insights to leadership and cross-functional stakeholders (2 years)
  • Experience conducting root cause analysis of production data using techniques like log analysis and defect clustering to identify systemic data quality and reliability issues, including detecting data anomalies and trends to support product improvements (1 year).
  • Experience collaborating with cross-functional teams, including engineering, systems, and product management, to analyze product requirements, system constraints, and customer use cases, to support product release readiness (1 year).
  • Strong foundational knowledge in multivariate statistical modeling including hypothesis testing, exploratory data analysis, correlation analysis and regression.
  • Strong foundational knowledge in machine learning methodologies, including supervised learning techniques for classification and regression (e.g., Random Forests, Decision Trees, Naive Bayes), along with model performance evaluation using standard metrics for robust validation.

EOE, including disability/vets.

Must be legally authorized to work in the U.S. without sponsorship.

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