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Junior Data Analytics Engineer Jobs in Utah (NOW HIRING)

Data Analytics Engineer

Ogden, UT ยท On-site

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank's Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering ...

Analytics Engineer This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the ...

Role Summary We are seeking a strong Analytics Engineer to join our Data Strategy and Architecture team. This role will help design, build, validate, and maintain trusted analytical data assets that ...

Senior Analytics Engineer

Lehi, UT ยท On-site

$98K - $134K/yr

... junior team members. * Continuous Improvement: Stay current with emerging technologies, tools, and trends in analytics engineering, cloud computing, and data governance. Lead or contribute to ...

Analytics Engineer This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the ...

Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and model them into reliable reporting layers. * Build and maintain data pipelines that surface clean ...

Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and model them into reliable reporting layers. * Build and maintain data pipelines that surface clean ...

Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and model them into reliable reporting layers. * Build and maintain data pipelines that surface clean ...

... Analyzing complex issues to create innovative solutions - Mentoring and guiding junior team members ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Verisk is seeking an Analytics Engineer to help build the trusted data foundation that powers smarter decisions across the insurance ecosystem. In this role, you will partner with product ...

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Junior Data Analytics Engineer information

What is a Junior Data Analytics Engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

What are the key skills and qualifications needed to thrive as a Junior Data Analytics Engineer, and why are they important?

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a Junior Data Analytics Engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

What are the most commonly searched types of Data Analytics Engineer jobs in Utah? The most popular types of Data Analytics Engineer jobs in Utah are:
What cities in Utah are hiring for Junior Data Analytics Engineer jobs? Cities in Utah with the most Junior Data Analytics Engineer job openings:

Data Analytics Engineer

TAB Bank

Ogden, UT โ€ข On-site

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bankโ€™s Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering, analytics, and business intelligence by transforming complex data into reliable, actionable intelligence and insights for strategic decision-making across the organization. The ideal candidate combines strong analytical skills with technical expertise in SQL, data modeling, Python pipelines, and visualization tools.

Essential Duties and Responsibilities:

  • Collect, clean, and analyze large datasets from multiple sources
  • Design and maintain data models, dashboards, and reporting systems
  • Develop and optimize SQL queries, ETL processes, and data pipelines
  • Collaborate with business stakeholders to understand reporting and analytics needs
  • Monitor data quality, integrity, and consistency across systems
  • Build automated reports and visualizations using BI tools
  • Identify trends, patterns, and opportunities through statistical analysis
  • Support decision-making with data-driven recommendations
  • Work with data engineers and software teams to improve data architecture
  • Document data definitions, workflows, and technical processes

Required education and experience:

Bachelorโ€™s degree in Computer Science, Information Systems, Data Analytics, Statistics, or related field

  • 3+ years of experience in business intelligence, analytics engineering, or data engineering
  • Advanced SQL skills and experience working with large relational and cloud-based datasets
  • Proficiency in Python or another analytics/programming language
  • Understanding of data warehousing and data modeling concepts, including dimensional and normalized models
  • Experience with BI and visualization tools such as Power BI or Tableau
  • Strong analytical, communication, and problem-solving skills
  • Or an equivalent combination of education and experience that provides the required knowledge, skills, and abilities

Preferred education and experience:

ย MSSQL and Python experience preferred

  • Experience with large scale streaming pipelines is a plus
  • Snowflake experience is a plus
  • Financial Services and Commercial Banking experience is a plus

Competencies:

ย Proficient in Python and SQL

  • Data warehousing and modeling, including dimensional and normalized models
  • Tableau or Power BI
  • Must have independent problem-solving skills and ability to develop solutions to complex analytical/data modeling problems
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group including executives, managers, and subject matter experts
  • Successfully engage in multiple initiatives simultaneously
  • Work successfully in a team environment using Agile Scrum methodologies
  • Willing to suggest improvements along with offering possible solutions

TAB Bank Offers:

  • Onsite Gym
  • Tuition Reimbursement
  • Paid Holidays
  • Gym Reimbursement
  • College Scholarships for Employees and Families
  • 401(k)
  • Paid Time Off (PTO)
  • Employee Assistance Program (EAP)
  • I Made the Grade
  • Holiday Club Program
  • Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care

TAB Bank will not sponsor applicants for work visas.