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Associate Degree In Data Analytics Jobs in Orem, UT

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

... in data engineering or analytics engineering * Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent ...

Medium

Software Engineer, Data

Lehi, UT · On-site

$120 - $180/hr

... in data engineering or analytics engineering * Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

Neighbor

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

... in data engineering or analytics engineering * Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

... in data engineering or analytics engineering * Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

... in data engineering or analytics engineering * Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent ...

nCino

Senior Data Scientist

Lehi, UT · On-site

Qualifications : Required : • Undergraduate degree in Data Science, Statistics, Mathematics ... into analytics projects and deliver actionable insights • Flexibility and the ability to be ...

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Associate Degree In Data Analytics information

See Orem, UT salary details

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

As of Aug 22, 2026, the average monthly pay for associate degree in data analytics in Orem, UT is $5,468.83, according to ZipRecruiter salary data. Most workers in this role earn between $4,966.67 and $5,833.33 per month, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

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.

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 an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What job categories do people searching Associate Degree In Data Analytics jobs in Orem, UT look for?

The top searched job categories for Associate Degree In Data Analytics jobs in Orem, UT are:

Associate Degree In Data Analytics jobs near you

Data Engineer

Pattern

Lehi, UT

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. 
 
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces-including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
 
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek's Global Most Loved Workplaces.

We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making processes. This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise.
 
This is a full-time role and will work a hybrid schedule in Lehi, Utah. 
 
 
Essential Duties and Responsibilities
  • Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse.
  • Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large-scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures.
  • Collaborate with technology teams and partners to specify data requirements and provide access to data.
  • Tune application and query performance using profiling tools and SQL or other relevant query languages.
  • Understand business, operations, and analytics requirements for data
  • Build data expertise and own data quality for assigned areas of ownership.
  • Work with data infrastructure to triage issues and drive to resolution.
Required Qualifications
  • Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience.
  • 3-5 years of experience working with SQL.
  • Familiarity with implementing modern data architecture-based data warehouses.
  • Familiarity with data warehouses such as Redshift, BigQuery, or Snowflake and understanding of data architecture design.
  • Strong communication skills (both in presentation and comprehension).
  • Exposure to data visualization tools like Tableau or ThoughtSpot.
Preferred Qualifications
  • Experience working with time series databases.
  • Experience with SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning.
  • Knowledge of Snowflake.
  • Familiarity with Big Data, non-relational databases, Machine Learning and Data Mining.
  • Familiarity with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue.
  • Familiarity with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch.
  • Understanding of Data Quality and Data Governance.
Our Core Values
  • Data Fanatics: Our edge is always found in the data.
  • Partner Obsessed: We are obsessed with partner success.
  • Team of Doers: We have a bias for action.
  • Game Changers: We encourage innovation.
We are looking for individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern's processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner's expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
  • Initial phone interview with Pattern's talent acquisition team
  • Technical Interview with a member of the team
  • Video interview with a hiring manager
  • Professional reference checks
  • Executive review
  • Offer
How can I stand out as an applicant?
  • Be prepared to talk about professional accomplishments with specific data to quantify examples.
  • Be ready to talk about how you can add value and be the best addition to the team.
  • Focus on mentioning how you would be partner obsessed at Pattern.
  • Be prepared to talk about any side projects related to data and analytics.
Why should I work at Pattern?
 
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
 
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 
 
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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