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Weekday Data Analysis Excel Jobs in Utah (NOW HIRING)

Advanced Excel skills, including financial modeling and data analysis. * Comfortable working with large datasets and multiple business systems. * Experience with Power BI, Tableau, SQL, Python ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Experience with Microsoft Office skills (Word, PowerPoint, and Excel) * Current and Active Top ...

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Proficiency with Excel for data analysis, validation, and ad hoc reporting * Experience with observability and monitoring (e.g., logging, metrics, alerting in Azure) Mindset & Approach * Curious and ...

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Proficiency with Excel for data analysis, validation, and ad hoc reporting * Experience with observability and monitoring (e.g., logging, metrics, alerting in Azure) Mindset & Approach * Curious and ...

Strong data analysis and investigative reporting skills * Strong Excel skills, including building spreadsheets, models, and reports * Chargeback/dispute experience on the Issuing side (in addition to ...

Proficiencyin data analysis and visualization tools (Excel, Power BI, Microsoft Office, etc.). * Experience creating reports, dashboards, and visualizations. * Strong analytical skills with the ...

... Excel, Google Sheets, Smart Sheets This position will be a part of the Payment and Risk Operation ... data analysis and investigative reporting skills Able to solve transaction or payment issues ...

Basic to intermediate SQL skills and strong proficiency in Excel. * Familiarity with data analysis tools such as SQL, Python, R, Power BI, Tableau, or similar technologies. * Strong analytical and ...

Showing results 41-60

Weekday Data Analysis Excel information

What is the difference between Weekday Data Analysis Excel vs Data Analyst?

AspectWeekday Data Analysis ExcelData Analyst
Required SkillsExcel, data visualization, basic statisticsExcel, SQL, data visualization, statistics, programming
Work EnvironmentOffice, remote, primarily using ExcelOffice, remote, using Excel, SQL, and analytics tools
Industry UsageBusiness, finance, marketingMultiple industries including finance, healthcare, tech
CertificationsExcel certifications, data analysis coursesExcel, data analysis, or related certifications

Weekday Data Analysis Excel roles focus on analyzing data primarily using Excel, suitable for entry-level or specialized tasks. Data Analysts typically require broader skills including SQL and advanced analytics tools, working across various industries. Both roles involve data interpretation but differ in technical complexity and scope.

What are some common challenges faced by professionals in a Weekday Data Analysis Excel role, and how can they be addressed?

Professionals in a Weekday Data Analysis Excel role often encounter challenges such as managing large datasets, ensuring data accuracy, and meeting tight deadlines for reports. Collaborating with team members to clarify data requirements and utilizing advanced Excel functions like pivot tables and formulas can help streamline workflows. Continuous learning and staying updated with Excel's latest features are also essential for efficiency. Regular communication with stakeholders helps align analysis with business goals and reduces the risk of misinterpretation.

What are the key skills and qualifications needed to thrive as a Weekday Data Analysis Excel specialist?

To excel as a Weekday Data Analysis Excel specialist, you need strong analytical skills, attention to detail, and proficiency in Microsoft Excel, often supported by a background in data analytics or a related field. Familiarity with Excel functions, pivot tables, data visualization tools, and sometimes certifications like Microsoft Office Specialist (Excel) are typically required. Effective communication, problem-solving abilities, and time management help you interpret data accurately and present actionable insights to stakeholders. These skills enable efficient data handling, informed decision-making, and the ability to deliver timely results in a business environment.

What is a Weekday Data Analysis Excel?

A Weekday Data Analysis Excel job typically involves analyzing data using Microsoft Excel during standard business days (Monday to Friday). Professionals in this role use Excel tools like formulas, pivot tables, and charts to interpret data, generate reports, and provide actionable insights. They may work with large datasets, clean and organize information, and present findings to help guide business decisions. This job often requires strong attention to detail, proficiency in Excel, and good communication skills.
What cities in Utah are hiring for Weekday Data Analysis Excel jobs? Cities in Utah with the most Weekday Data Analysis Excel job openings:

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition, LLC

Lindon, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Description

The Data Analyst transforms internal and external data into clear insights that support sales, marketing, product, and retail strategy. This role partners with teams across the company to evaluate performance, identify growth opportunities, improve reporting, and support informed decisions. 

The position uses AI tools throughout the analytical process to accelerate research, develop solutions, automate routine work, and create effective deliverables. The ideal candidate is curious, detail oriented, comfortable learning new technology, and able to translate complex information into practical recommendations. 


WHAT YOU'LL DO 

  • Analyze sales, category, retailer, marketing, and competitive performance to identify trends, risks, and growth opportunities. 
  • Gather, combine, and validate data from internal systems, syndicated data providers, distributors, retailers, ecommerce platforms, and other sources. 
  • Use Codex and other AI tools to support research, write and troubleshoot SQL or code, automate workflows, and improve reporting processes. 
  • Create dashboards, recurring reports, presentations, and ad hoc analyses that clearly communicate business performance. 
  • Support sales and strategic projects with retailer and category insights, including assortment, market share, distribution, pricing, and product velocity. 
  • Present findings and recommendations to Sales, Marketing, leadership, and other partners across the company. 
  • Review analytical work and AI generated output to ensure accuracy, sound methodology, and appropriate handling of company data. 

 Benefits

- Opportunity for Advancement

- Quarterly Bonuses

- 12 Paid Holidays plus a Floating Holiday and PTO

- Sick Days (separate from PTO)

- Employee Discounts on Product

- 401k Match

- Medical, Dental, Vision, and Life Insurance

- HSA Match

- Employee Referral Bonus

- Clean Working Environment


Requirements

 QUALIFICATIONS 

  • Bachelor's degree in Data Analytics, Business, Economics, Statistics, Information Systems, Finance, or a related field, or equivalent practical experience. 
  • Experience analyzing sales, marketing, retail, or other business data. 
  • Experience using AI tools such as Codex, ChatGPT, Microsoft Copilot, or Gemini to support analytical, technical, or research work. 
  • Strong analytical and problem solving skills, including the ability to turn an open question into a structured analysis. 
  • Proficiency in Microsoft Excel or Google Sheets. 
  • Working knowledge of SQL and experience with databases or cloud data warehouses. 
  • Experience creating clear reports, visualizations, and presentations. 
  • Strong written and verbal communication skills. 
  • Ability to collaborate across teams, manage competing priorities, and meet deadlines. 
  • A proactive approach and an interest in learning new tools, data sources, and business processes. 

PREFERRED QUALIFICATIONS 

  • Experience using Codex or similar tools to develop scripts, work with APIs, automate processes, or analyze data. 
  • Experience with CPG or retail data, including syndicated, distributor, or retailer specific sources. 
  • Experience with BigQuery, Looker Studio, Power BI, Tableau, or similar platforms. 
  • Familiarity with market share, distribution, velocity, assortment, pricing, and other retail analytics concepts. 
  • Experience creating customer facing sales presentations or data driven selling stories. 

WORK ENVIRONMENT This position is primarily performed in an office environment and requires regular computer based work. The current expectation is onsite work, with any hybrid arrangement determined by company policy and business needs.