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Hourly Data Analytics Jobs in Utah (NOW HIRING)

TAB Bank

Data Analytics Engineer

Ogden, UT · 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 ...

HydroJug

Director of Data Analytics

Ogden, UT · On-site

This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for Finance, and a Data Analyst ...

Stio

Data Analyst

Salt Lake City, UT · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

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 ...

Brevium

Data Analyst Assistant

American Fork, UT

$20 - $22/hr

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 ...

SkyWest Airlines

Safety Data Analyst

Salt Lake City, UT

$37K - $52K/yr

Formal education in data analytics, statistics, quantitative methods, data collection, data interpretation, and analytical techniques; and/or a professional data analyst certification. * Two years of ...

SkyWest Airlines

Safety Data Analyst

Saint George, UT

$37K - $52K/yr

Formal education in data analytics, statistics, quantitative methods, data collection, data interpretation, and analytical techniques; and/or a professional data analyst certification. * Two years of ...

Navtech, Inc.

Data Analyst

Salt Lake City, UT · On-site

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives. What You'll do: * Design, develop, and maintain ...

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Hourly Data Analytics information

What are hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

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

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

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 Hourly Data Analytics jobs? Cities in Utah with the most Hourly Data Analytics job openings:
Hourly Data Analytics jobs near you
Data Analytics Engineer

Data Analytics Engineer

TAB Bank

Ogden, UT • On-site

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

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, 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:

Bachelor’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:

 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:

 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.

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