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Data Analyst Jobs in Roy, UT (NOW HIRING)

Data Analyst

Ogden, UT · On-site

$70 - $100/hr

Data Analyst HydroJug, Inc. -- Ogden, UT (On-Site) | Systems About the Role The Data Analyst -- Operations is the dedicated analytics resource for HydroJug's Operations and Warehouse teams. You will ...

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 ...

Data Engineer/Analyst

Layton, UT · On-site

$90 - $120/hr

Pandas, SQLAlchemy, pyodbc) to optimize data processing and analysis * Act as data steward by governing and accounting for inbound and outbound datafeeds, coordinating with interorganizational ...

The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and ...

Data, Dashboards & Tools * Build and maintain the data models and business logic behind the ... Analyze inventory to flag excess, shortages, slow-moving, and obsolete stock, and translate the ...

New

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 ...

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 Sep 2, 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 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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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:

Infographic showing various Data Analyst job openings in Roy, UT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $78,821 per year, or $37.9 per hour.

$70 - $100/hr

Other

Posted 15 days ago


Job description

Data Analyst

HydroJug, Inc. — Ogden, UT (On-Site) | Systems

About the Role

The Data Analyst — Operations is the dedicated analytics resource for HydroJug's Operations and Warehouse teams. You will own the reporting infrastructure that gives the Operations leadership team — demand planners, supply planners, inventory managers, the warehouse director — the data they need to make decisions every day. Forecast accuracy reporting, OTIF and fill-rate analytics, supplier scorecards, and inventory health views are your primary work products. You report to the Data Lead and feed data into HydroJug's S&OP forum as a standing contributor.

Responsibilities
  • Forecast Accuracy Reporting: Build and maintain reports that track forecast accuracy by SKU, channel, and time horizon. Surface bias, identify systematic over/under-forecasting patterns, and provide the S&OP team with actionable visibility.
  • OTIF & Fill-Rate Analytics: Own On-Time In-Full (OTIF) and fill-rate reporting across wholesale, DTC, and marketplace channels. Track trends, flag outliers, and provide root-cause analysis for misses.
  • Supplier Scorecards: Build and maintain supplier performance scorecards covering delivery accuracy, lead time adherence, quality reject rates, and other agreed-upon KPIs. Distribute on a defined cadence to Supply Chain leadership.
  • Inventory Health Views: Develop and maintain inventory health dashboards — days of supply, aging inventory, slow-movers, and overstock/understock signals by SKU and warehouse location.
  • S&OP Support: Prepare the data pack for each S&OP cycle. Ensure leadership walks into the forum with current, accurate numbers — not stale data from last week.
  • Ad-Hoc Analysis: Answer Operations and Warehouse leadership's data questions with rigor and speed. Define a clear SLA for ad-hoc requests and maintain it.
  • Data Quality Advocacy: Flag upstream data quality issues that corrupt reporting. Partner with the broader Systems team to resolve.
Success Criteria
  • 30 Days
    - Fully onboarded on HydroJug's data infrastructure (NetSuite, warehouse management system, any BI tools in use). - Audit of existing Operations and Warehouse reporting completed; gap list delivered to Data Lead. - First S&OP data pack produced and reviewed with Operations leadership.
  • 90 Days
    - OTIF, fill-rate, and forecast accuracy reports live and running on a weekly/monthly cadence. - Supplier scorecard template built and first distribution cycle completed. - Inventory health dashboard in production; key stakeholders using it as a primary decision tool. - Ad-hoc request queue and SLA established.
  • 180 Days
    - Full Operations reporting suite live and trusted by the team — Data Lead and Operations leadership relying on it for S&OP and weekly decisions. - Supplier scorecards distributed on consistent cadence with measurable supplier engagement. - First data quality improvement initiative completed as a result of upstream issue identification.

Your numbers match. Operations leadership never gets to the S&OP forum and discovers the data is wrong.

You build reports that answer the right question, not just the easy one. A forecast accuracy report that doesn't surface bias is a vanity metric.

You communicate findings clearly to non-data-native stakeholders — demand planners and warehouse managers don't speak SQL; your outputs do the translation.

You escalate data quality issues immediately rather than building workarounds that mask the problem.

Reporting & Organization
  • Reports to:
    Data Lead (open)
  • Primary stakeholders:
    Operations team (demand planning, supply planning, inventory management); Warehouse leadership; S&OP forum participants
  • Level:
    Individual Contributor
  • Location:
    On-site, Ogden, UT
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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