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Data Analyst Jobs in Midvale, UT (NOW HIRING)

Ancestry

Data & Reporting - Content Analyst

Draper, UT · On-site

$85 - $115/hr

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 ...

JT4, LLC

Operations Test and Data Analyst

Magna, UT · On-site

Develop basic data analysis tools, processes, or products for analysis * Analyze pre-test predictions to define data collection requirements * Assist in the conduct of test activities from control ...

New

Pwc

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Pwc

Data Governance- Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

C.R. England

Fuel Analyst

Salt Lake City, UT

$60K/yr

The key responsibilities are to manage and oversee day to day fuel transaction activity, utilize company software to identify fuel transaction discrepancies, and provide analytical data through ...

New

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All JobsData Analyst JobsData Analyst Jobs in Midvale, UT

Data Analyst information

See Midvale, UT salary details

$32.1K

$77.9K

$128.3K

How much do data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst in Midvale, UT is $77,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,500.00 per year, depending on experience, location, and employer.

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 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 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 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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

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.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Midvale, UT?

The most popular types of Data Analyst jobs in Midvale, UT are:

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

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Midvale, UT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $77,939 per year, or $37.5 per hour.

Data & Reporting - Content Analyst

Ancestry

Draper, UT • On-site

$85 - $115/hr

Other

This job post has expired 1 day ago. 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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