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Assistant Data Analytics Jobs in Utah (NOW HIRING)

Analyze pre-test predictions to define data collection requirements * Assist in the conduct of test activities from control centers * Order, QC and analyze data; Identify and resolve basic data ...

... * Assist with system audits, data validation, and process documentation efforts. Required Qualifications * Bachelor's degree in Business, Operations, Analytics, Supply Chain, Finance, or a related ...

Work closely with the RevOps team to audit and clean prospect and lead data within HubSpot, ensuring accuracy through data management best practices. * Assist in analyzing prospecting lists ...

Work closely with the RevOps team to audit and clean prospect and lead data within HubSpot, ensuring accuracy through data management best practices. * Assist in analyzing prospecting lists ...

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources * Support data extraction, cleaning, and analysis of ...

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources * Support data extraction, cleaning, and analysis of ...

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources * Support data extraction, cleaning, and analysis of ...

Showing results 41-60

Assistant Data Analytics information

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

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

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

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

The most popular types of Data Analytics jobs in Utah are:

What cities in Utah are hiring for Assistant Data Analytics jobs?

Cities in Utah with the most Assistant Data Analytics job openings:

Infographic showing various Assistant Data Analytics job openings in Utah as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 89% In-person, and 11% Hybrid job distribution.

Staff Data Engineer ( Seattle/Provo Hybrid)

PG Forsta

Provo, UT โ€ข On-site

$108K - $130K/yr

Other

Re-posted 5 days ago


Job description

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.

  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.

  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.

  • Better together:We check our egos at the door. We work together, so we win together.

Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.comPlease provide your contact information and the details of your request so we can best assist you.

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Duties & Responsibilities:

  • Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
  • Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
  • Optimize data structures and queries for performance, reliability, and cost efficiency.
  • Drivedata quality and governance initiatives, including metadata management and validation frameworks.
  • Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
  • Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
  • Ensure adherence tosecurity, compliance, and data privacystandards.
  • Mentor junior engineers and contribute to establishingengineering best practices.
  • SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
  • Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
  • Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.

Technical Skills:

  • Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
  • Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
  • Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
  • Strong understanding ofdata modeling,data governance, andmetadata management.
  • Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
  • Familiarity withPower BIvisualization tool.

Minimum Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
  • Experience buildingreal-time data pipelinesand streaming frameworks.
  • Strong analytical and problem-solving skills.
  • Proven ability tolead projectsand mentor engineers.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or a related field.
  • Exposure tomachine learning integrationwithin data engineering pipelines.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:https://www.pressganey.com/legal-privacy/