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Assistant Data Analyst Training Jobs in Utah (NOW HIRING)

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Brevium

Data Analyst Assistant

American Fork, UT

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Nomi Health

Associate Data Analyst

Salt Lake City, UT · On-site

How you will make an impact: * Assist in analyzing medical and pharmacy claims data to identify ... Exposure to medical and pharmacy claims data or healthcare financial concepts is a plus; training ...

SkyWest Airlines

Safety Data Analyst

Salt Lake City, UT

$37K - $52K/yr

Qualified through education, training, experience, and expertise to perform data analysis functions. * Formal education in data analytics, statistics, quantitative methods, data collection, data ...

SkyWest Airlines

Safety Data Analyst

Saint George, UT

$37K - $52K/yr

Qualified through education, training, experience, and expertise to perform data analysis functions. * Formal education in data analytics, statistics, quantitative methods, data collection, data ...

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All JobsData Analyst Training JobsAssistant Data Analyst Training JobsAssistant Data Analyst Training Jobs in Utah

Assistant Data Analyst Training information

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, but many entry-level positions are open to candidates with little to no experience if they demonstrate strong analytical skills and a willingness to learn. Completing relevant training or certifications can improve your chances of starting a data analyst role without prior experience.

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

AspectAssistant Data Analyst TrainingData Analyst
Required CredentialsBasic certifications, training programsBachelor's degree in related field, certifications
Work EnvironmentEntry-level, supervised tasks, training settingsFull responsibilities, independent analysis
Employer UsageTraining programs, internships, entry rolesFull-time analyst roles in various industries
Search & Comparison IntentLearning path, entry-level roles, training optionsCareer advancement, job requirements, skills needed

Assistant Data Analyst Training focuses on preparing individuals with foundational skills through courses and internships, while Data Analyst roles involve performing independent data analysis tasks in professional settings. Training is ideal for beginners, whereas Data Analyst positions require more experience and technical expertise.

What are some common challenges faced by Assistant Data Analysts during their training period, and how can they overcome them?

Assistant Data Analysts in training often encounter challenges such as adapting to new data analysis tools, understanding complex datasets, and translating business requirements into actionable insights. It's common to feel overwhelmed by the variety of data sources and the technical skills required, such as proficiency in Excel, SQL, or visualization tools. Overcoming these hurdles typically involves proactively seeking mentorship, participating in team discussions, and consistently practicing with real datasets to build confidence and competence. Collaborating closely with senior analysts and asking clarifying questions can significantly accelerate the learning process.

Is a data analyst still worth it in 2026?

A data analyst remains a valuable role in 2026 as organizations continue to rely on data-driven decision-making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are essential, and demand is expected to stay strong due to increasing data volumes across industries.

Is 40 too late for data science?

For an Assistant Data Analyst training program, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in life by gaining relevant skills such as SQL, Python, and data visualization, often through online courses or certifications. Experience, continuous learning, and building a portfolio are key factors for career progression regardless of age.

What is an Assistant Data Analyst Training program?

An Assistant Data Analyst Training program is a structured course or series of workshops designed to teach foundational data analysis skills. Participants learn how to collect, organize, and interpret data using tools such as Excel, SQL, and data visualization software. The training often covers basic statistics, data cleaning, and reporting techniques to prepare individuals for entry-level roles as data analysts. These programs are suitable for beginners and those looking to transition into data-related fields.

What are the key skills and qualifications needed to thrive as an Assistant Data Analyst in training, and why are they important?

To thrive as an Assistant Data Analyst in training, you need a solid grounding in statistics, data interpretation, and a relevant educational background such as a degree in mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software, as well as basic knowledge of programming languages like Python or R, is highly beneficial. Attention to detail, analytical thinking, and effective communication are critical soft skills for interpreting data and collaborating with teams. These skills ensure accurate data analysis, meaningful insights, and clear reporting, which are essential for supporting organizational decision-making.

What training is needed to be a data analyst?

To become a data analyst, relevant training typically includes a bachelor's degree in fields like statistics, mathematics, or computer science. Additionally, proficiency in data analysis tools such as Excel, SQL, and programming languages like Python or R, along with knowledge of data visualization and statistical methods, is essential. Certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist can also enhance qualifications.
What are the most commonly searched types of Data Analyst Training jobs in Utah? The most popular types of Data Analyst Training jobs in Utah are:
What cities in Utah are hiring for Assistant Data Analyst Training jobs? Cities in Utah with the most Assistant Data Analyst Training job openings:
Assistant Data Analyst Training jobs near you
Data Analyst Assistant

Data Analyst Assistant

Brevium

American Fork, UT • On-site

$20 - $22/hr

Part-time

Posted 18 days ago

Job description

Job Title: Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus
Location: American Fork, Utah (In Office)
About Us:
Brevium is a dynamic and innovative healthcare technology company located in American Fork, Utah. We specialize in providing cutting-edge solutions for healthcare practices, with a commitment to improving patient care and operational efficiency. Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals.
Responsibilities:
  • Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs.
  • Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn.
  • Execute SQL queries for database retrieval, data manipulation, and integration tasks.
  • Assist in troubleshooting and debugging code-related issues in Python and SQL.
  • Document and present analysis results using data visualization tools such as plotly, matplotlib, and Excel.
  • Documenting code and analysis procedures.
  • Assist in the development and implementation of machine learning models for predictive analysis using industry-leading tools.
  • Able to communicate with Sales team to know what data insights are needed.

Qualifications:
  • Current student pursuing a degree in Computer Science, Data Science, Information Science, or a related field.
  • Proven experience in data analysis, with a strong focus on extracting actionable insights.
  • Proficiency in Python programming language, with experience in libraries such as pandas, plotly, sklearn.
  • Strong understanding of SQL for querying databases, retrieving data, and performing data manipulation tasks.
  • Familiarity with data cleaning, preprocessing, and statistical methods.
  • Ability to read, understand, and modify existing code for data analysis and visualization in Python and SQL.
  • Excellent communication skills.
  • Proficient in Excel.

Preferred Skills:
  • Intermediate to advanced python and SQL server skills.
  • Experience with data visualization tools like plotly and matplotlib.
  • Previous exposure to working with databases and data manipulation tasks.
  • Familiarity with statistical analysis tools and techniques.
  • Strong organizational skills and ability to be self motivated.

Working Hours:
• 20 hours per week (flexible schedule to accommodate academic commitments).
Compensation $20-22/hr

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