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Associate Degree In Data Analytics Jobs in Utah (NOW HIRING)

Waystar

VP, Data Sciences

Lehi, UT · On-site

Master's degree or Ph.D. preferred. * Experience: * 10+ years of progressive experience in data management, data warehousing, business intelligence, and advanced analytics, with at least 5 years in a ...

Patientco

VP, Data Sciences

Lehi, UT

Master's degree or Ph.D. preferred. Experience: 10+ years of progressive experience in data management, data warehousing, business intelligence, and advanced analytics, with at least 5 years in a ...

Crew Career Center

VP, Data Sciences

Lehi, UT

Master's degree or Ph.D. preferred. Experience: 10+ years of progressive experience in data management, data warehousing, business intelligence, and advanced analytics, with at least 5 years in a ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... In this role within our Technology Consulting practice, you will leverage advanced technologies and ...

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field (Master's degree preferred). * 3-5+ years of hands-on experience with product and customer analytics ...

LBCT LLC

Terminal Data Analyst I

Draper, UT · On-site

BA/BS Degree in Data Analytics, Business Administration, or related field (IT, Finance, etc.) and/or; * 3-5 years of relevant experience in a fast paced, timeline driven, detail-oriented environment.

Pwc

Data Engineer - Manager

Salt Lake City, UT

... in data and analytics engineering focus on leveraging advanced technologies and techniques to ... Degree in Management Information Systems, Computer and Information Science, Systems Engineering ...

PACS

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

Required : • Bachelor's degree in a quantitative or technical field preferred. • 3-5 years of experience in a data analytics, data engineering, or BI analyst role. • Proven ability to build and ...

Bamboo Insurance

Financial Data Analyst

Midvale, UT

$90K/yr

The Financial Data Analyst supports two core functions: Financial Planning & Analysis (FPA) and ... Bachelor's degree in related field or equivalent experience. * 2+ years' experience in an analyst ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Utah

Associate Degree In Data Analytics information

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How much do associate degree in data analytics jobs pay per month?

As of Jun 27, 2026, the average monthly pay for associate degree in data analytics in Utah is $5,726.75, according to ZipRecruiter salary data. Most workers in this role earn between $5,200.00 and $6,108.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

Is an associate's degree in data analytics worth it?

An associate's degree in data analytics provides foundational skills in data management, statistical analysis, and tools like Excel and SQL, which can help entry-level data analyst roles. It can be a cost-effective way to enter the field, but career advancement may require additional certifications or a bachelor's degree for higher-level positions.

What careers can you get with a data analytics degree?

An associate degree in data analytics can lead to roles such as data analyst, business analyst, or data technician. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and data visualization software. Entry-level positions often require strong analytical skills and familiarity with data management tools.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is a degree in data analytics worth it?

A degree in data analytics can be valuable for roles like data analyst or data scientist, as it provides foundational knowledge in statistics, programming, and data visualization tools. It can improve job prospects and earning potential, especially when combined with practical experience and certifications in tools like Excel, SQL, or Python.

What can you do with an associate's in data analytics?

An associate's degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. Graduates can work with tools like Excel, SQL, and data visualization software to interpret data, support decision-making, and improve business processes.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
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What job categories do people searching Associate Degree In Data Analytics jobs in Utah look for? The top searched job categories for Associate Degree In Data Analytics jobs in Utah are:
What cities in Utah are hiring for Associate Degree In Data Analytics jobs? Cities in Utah with the most Associate Degree In Data Analytics job openings:
Associate Degree In Data Analytics jobs near you
VP, Data Sciences

VP, Data Sciences

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Job description

ABOUT THIS POSITION
The Information Technology function is responsible for managing and overseeing the technology infrastructure that that supports the organization's operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that these systems are secure, efficient, and capable of supporting business objectives. Key responsibility areas include infrastructure management, software and systems maintenance and development, data management and security, technical support, and strategic planning and innovation. The Data Management & Analytics area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality. The Data Management & Analytics - Executive focus specializes in overseeing the design, development, and operation of the technology architecture and infrastructure for the organizing, storage, retrieval, processing and analysis of data and information for internal and external clients in a sub-part of the overall organization (e.g., Group, Region, Division, Country) or is one of several executives responsible for oversight of the area at the Corporate level. Develops and implements enterprise and client-facing data management strategies to collect, store and increase usability and quality of enterprise and client data from multiple diverse sources.
WHAT YOU'LL DO
  • Strategic Leadership: Defining and executing Waystar's overall data strategy, including data governance, data quality, data architecture, and data analytics roadmap to support business objectives.
  • Team Management & Development: Building, mentoring, and leading a high-performing team of data engineers, data scientists, and data analysts, fostering a culture of innovation, collaboration, and continuous improvement.
  • Data Governance & Compliance: Establishing and enforcing robust data governance policies, standards, and procedures to ensure data accuracy, security, privacy, and compliance with relevant regulations (e.g., HIPAA, GDPR, CCPA).
  • Data Platform & Architecture: Overseeing the design, development, and maintenance of scalable and robust data platforms, data warehouses, data lakes, and analytical tools. Evaluating and implementing new data technologies and solutions.
  • Advanced Analytics & Reporting: Driving the development and deployment of advanced analytical models, machine learning algorithms, and predictive insights to inform strategic decisions across various departments (e.g., product, marketing, finance, operations).
  • Stakeholder Collaboration: Partnering closely with business leaders and cross-functional teams to understand their data needs, identify opportunities for data-driven improvements, and translate business requirements into technical solutions.
  • Performance Monitoring & Optimization: Establishing key performance indicators (KPIs) for data initiatives, monitoring data quality, and optimizing data processes for efficiency and effectiveness.
  • Budget Management: Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI.

WHAT YOU'LL NEED
  • Education: Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Master's degree or Ph.D. preferred.
  • Experience:
  • 10+ years of progressive experience in data management, data warehousing, business intelligence, and advanced analytics, with at least 5 years in a leadership role managing large teams.
  • Proven experience in defining and implementing data strategies and roadmaps in a complex organizational environment.
  • Demonstrated success in building and scaling data platforms and analytics capabilities from the ground up.
  • Technical Skills:
  • Expertise in data modeling, ETL/ELT processes, and data warehousing concepts.
  • Proficiency with cloud data platforms (e.g., AWS, Azure, GCP) and related services (e.g., Redshift, Snowflake, BigQuery, Databricks).
  • Strong command of SQL, Python, or R for data manipulation and analysis.
  • Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.
  • Familiarity with machine learning frameworks and statistical modeling.
  • Leadership & Soft Skills:
  • Exceptional leadership, communication, and interpersonal skills with the ability to influence and collaborate effectively with stakeholders at all levels.
  • Strong strategic thinking and problem-solving abilities, with a track record of delivering measurable business impact through data.
  • Demonstrated ability to attract, develop, and retain top data talent.
  • Experience in the healthcare technology or financial technology industry is a significant plus.
  • Ability to navigate complex technical and business challenges and drive initiatives to successful completion.

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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