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Data Analyst Jobs in Roy, UT (NOW HIRING)

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 ...

JT4, LLC

Operations Test and Data Analyst

Magna, UT · On-site

Develop basic data analysis tools, processes, or products for analysis * Analyze pre-test predictions to define data collection requirements * Assist in the conduct of test activities from control ...

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 ...

PACS

Senior DataBI Analyst

Farmington, UT · On-site

$100/hr

We're growing fast and are looking for a skilled Data / Business Intelligence Analyst to join our team. We need someone who can build independently, take ownership of data infrastructure, and turn ...

All JobsData Analyst JobsData Analyst Jobs in Roy, UT

Data Analyst information

See Roy, UT salary details

$32.4K

$78.8K

$129.7K

How much do data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analyst in Roy, UT is $78,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $92,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Roy, UT? The most popular types of Data Analyst jobs in Roy, UT are:
What job categories do people searching Data Analyst jobs in Roy, UT look for? The top searched job categories for Data Analyst jobs in Roy, UT are:
What cities near Roy, UT are hiring for Data Analyst jobs? Cities near Roy, UT with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Roy, UT as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 75% In-person, 8% Hybrid, and 17% Remote job distribution, with an average salary of $78,821 per year, or $37.9 per hour.
Director of Data Analytics

Director of Data Analytics

HydroJug

Ogden, UT • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

REPORTS TO VP of Systems (Jordan Brandley)

Ogden, UT | On-Site | Reports to VP of Systems (Jordan Brandley)


ABOUT THE ROLE

The Data Lead owns the BI & Data function end to end. You will build and govern a brand-aware data platform — one BigQuery environment, segregated by brand, governed for trust — that every team in the company depends on. 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 for Marketing/Sales.


Finance has historically been under-served by data — getting them fully in the loop on current numbers is a primary mandate of this role. You will partner directly with CFO Aaron Davis and the Director of Planning & S&OP to align data inputs with business cadences.


RESPONSIBILITIES

  • Data Platform Architecture — BigQuery schema design, brand segmentation strategy, data pipeline oversight, and data warehouse governance
  • Analytics Service Delivery — Ensure every team has timely, trusted data; manage analyst capacity against cross-functional demand
  • Data Quality & Governance — Partner with Manish Raghunathareddy (Data Quality, filled) to establish data standards, documentation, and monitoring
  • Finance Data Partnership — Build brand-dimensioned P&L views, FP&A inputs, and inventory accounting data products in partnership with the CFO's team
  • Team Leadership — Hire, develop, and manage three open analyst seats; define team processes, prioritization, and delivery standards
  • Tooling & Stack — Own the analytics stack (BigQuery + Looker/Tableau or equivalent); drive adoption of a semantic layer for self-serve BI
  • Cross-Functional Roadmap — Represent data capability on the Systems roadmap; partner with the BI Developer/Dashboard Engineer to translate data into operating dashboards


QUALIFICATIONS

  • 6+ years in analytics, data engineering, or BI roles with 2+ years leading a data team or function
  • Hands-on expertise with BigQuery (or comparable cloud DW) — schema design, query optimization, pipeline management
  • Experience supporting multi-brand or multi-channel ecommerce analytics at scale (DTC + wholesale preferred)
  • Strong fluency in financial data: P&L construction, FP&A inputs, cost accounting structures
  • Proficiency with Looker, Tableau, or a comparable BI/visualization layer
  • Demonstrated ability to build data governance practices — documentation, data dictionaries, quality monitoring
  • Experience hiring and developing analysts
  • Clear, direct communication with non-technical stakeholders (Finance, Ops, Marketing)


ABOUT HYDROJUG, INC.

HydroJug, Inc. is a consumer brand headquartered in Ogden, Utah, designing and selling premium hydration and lifestyle products through direct-to-consumer and major retail channels.

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