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Weekend Remote Excel Expert Jobs in Draper, UT (NOW HIRING)

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Perform advanced analysis using Excel, including pivot tables, Power Query, Power Pivot, and ... Expert-level proficiency in SQL, with experience writing complex joins, CTEs, subqueries, window ...

Business System Manager

American Fork, UT · On-site +1

$65 - $100K/hr

Intermediate to expert understanding of POS systems and Microsoft Office applications * Self ... Ability to document processes and procedures in Word, PowerPoint, and Excel * Track record of high ...

Business System Manager

American Fork, UT · On-site +1

$65 - $100K/hr

Intermediate to expert understanding of POS systems and Microsoft Office applications * Self ... Ability to document processes and procedures in Word, PowerPoint, and Excel * Track record of high ...

This is a remote position Job Duties: The Medical Auditor Project Lead will report to the Manager ... Serve as a point of contact for clients, providing expert advice and recommendations on audit ...

This is a remote position Job Duties: The Medical Auditor Project Lead will report to the Manager ... Serve as a point of contact for clients, providing expert advice and recommendations on audit ...

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Weekend Remote Excel Expert information

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How much do weekend remote excel expert jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for weekend remote excel expert in Draper, UT is $31.85, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $36.63 per hour, depending on experience, location, and employer.

What are Weekend Remote Excel Experts?

Weekend Remote Excel Experts are professionals who specialize in using Microsoft Excel to solve data-related problems, automate tasks, and analyze information, working primarily on weekends and remotely from any location. They assist clients or employers with tasks such as creating spreadsheets, managing data, building reports, and developing macros or formulas. This role is ideal for those who have advanced Excel skills and prefer flexible, part-time work schedules, often serving businesses or individuals who need support outside of typical weekday hours.

What are the key skills and qualifications needed to thrive as a Weekend Remote Excel Expert, and why are they important?

To thrive as a Weekend Remote Excel Expert, you need advanced proficiency in Microsoft Excel, strong data analysis skills, and a proven track record of handling complex spreadsheets, often supported by a relevant degree or Excel certification. Familiarity with Excel functions, VBA/macros, data visualization tools, and cloud collaboration platforms is typically required. Exceptional attention to detail, time management, and clear communication are important soft skills for delivering accurate results and collaborating remotely. These skills and qualities are crucial for providing high-quality, timely solutions while working independently and accommodating weekend schedules.

What are some common challenges faced by Weekend Remote Excel Experts and how can they be managed?

Weekend Remote Excel Experts often encounter challenges such as managing tight deadlines, handling multiple client projects simultaneously, and ensuring clear communication across virtual teams. Since most work is performed independently and remotely, staying organized and proactive in scheduling check-ins with clients or colleagues is essential. Additionally, troubleshooting complex formulas or data issues without in-person support can be demanding, so leveraging collaborative tools and maintaining a strong knowledge base are valuable strategies for success.

What is the difference between Weekend Remote Excel Expert vs Weekend Remote Data Analyst?

AspectWeekend Remote Excel ExpertWeekend Remote Data Analyst
Required SkillsExcel proficiency, data organization, basic analysisExcel, data analysis, visualization, statistical skills
CertificationsExcel certifications (e.g., Microsoft Office Specialist)Data analysis certifications (e.g., Microsoft Data Analyst Associate)
Work EnvironmentRemote, flexible weekendsRemote, flexible weekends
Industry UsageFreelance, small businesses, consultingCorporate, finance, marketing, research

The main difference is that a Weekend Remote Excel Expert focuses primarily on Excel tasks like data entry, formulas, and basic analysis, while a Weekend Remote Data Analyst handles broader data analysis, visualization, and reporting. Both roles are remote and flexible but serve different levels of data complexity and industry needs.

What job categories do people searching Weekend Remote Excel Expert jobs in Draper, UT look for? The top searched job categories for Weekend Remote Excel Expert jobs in Draper, UT are:
What cities near Draper, UT are hiring for Weekend Remote Excel Expert jobs? Cities near Draper, UT with the most Weekend Remote Excel Expert job openings:
Senior Data Analyst - Remote

Senior Data Analyst - Remote

UnitedHealth Group

Draper, UT • On-site, Remote

$80K - $101K/yr

Full-time

Retirement

Re-posted 11 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.    


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities:

  • Serve as a senior analytics partner to the Credit team, providing data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation
  • Develop, optimize, and maintain complex SQL queries to extract, transform, and analyze large volumes of financial and credit data from enterprise data warehouses
  • Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency
  • Design, build, and support interactive dashboards and reports in Power BI to deliver clear, actionable insights to Credit leadership and business stakeholders
  • Create and maintain SSRS reports to support operational, regulatory, and management reporting needs, ensuring accuracy, consistency, and timeliness
  • Perform advanced analysis using Excel, including pivot tables, Power Query, Power Pivot, and complex formulas, to support ad hoc requests and deep-dive investigations
  • Analyze credit metrics such as delinquency, roll rates, charge-offs, recoveries, exposure, and vintage performance to identify trends, risks, and opportunities
  • Partner closely with Credit Risk, Underwriting, Finance, and Compliance teams to ensure reporting aligns with business rules, policies, and regulatory expectations
  • Validate data integrity and reconcile results across multiple systems to ensure reporting accuracy and reliability
  • Translate complex analytical findings into clear, concise insights and recommendations tailored to both technical and non-technical audiences
  • Support automation and process improvements to increase efficiency, scalability, and self-service analytics within the Credit organization
  • Mentor junior analysts and contribute to the development of best practices for SQL, reporting standards, and analytical methodologies
  • Ensure adherence to data governance, security, and regulatory requirements specific to banking and credit data
     

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. 
 

Required Qualifications:

  • 5 years of experience in data analytics, with direct experience supporting Credit, Credit Risk, or Lending teams within a bank or financial services organization
  • Solid working knowledge of credit concepts, including delinquency, charge-offs, recoveries, exposure, vintages, utilization, and portfolio performance
  • Advanced Python proficiency, with hands-on experience using libraries such as pandas, NumPy, and related analytical packages for data manipulation, validation, automation, and large-scale analysis; experience building reusable scripts, analytical frameworks, or pipelines is highly valued
  • Expert-level proficiency in SQL, with experience writing complex joins, CTEs, subqueries, window functions, and performance-optimized queries against large datasets
  • Advanced experience with Power BI, including data modeling, DAX, custom measures, and designing executive-ready dashboards
  • Advanced Excel skills, including pivot tables, Power Query, Power Pivot, complex formulas, and statistical or financial analysis
  • Hands-on experience developing, maintaining, and supporting SSRS reports in a production environment
  • Proven ability to validate data, reconcile across multiple source systems, and ensure high data quality and reporting accuracy
  • Solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights
  • Excellent communication skills with the ability to explain complex data findings to both technical and non-technical stakeholders


     

Preferred Qualifications: 

  • Experience working with consumer or commercial lending products (e.g., credit cards, auto loans, personal loans, mortgages, or commercial loans)
  • Experience working with large enterprise data warehouses and financial systems
  • Experience building automated or self-service reporting solutions for business users
  • Experience leveraging Python for automation, process optimization, or advanced analytics (e.g., trend analysis, scenario analysis, or custom performance monitoring).
  • Experience developing, validating, or deploying analytical or statistical models using Python, including feature engineering, model evaluation, and performance monitoring in a financial or risk analytics context
  • Experience supporting senior leadership with executive-level reporting and insights
  • Familiarity with banking regulatory and risk frameworks (e.g., CECL, stress testing, portfolio monitoring, audit support)
  • Demonstrated ability to mentor junior analysts and establish analytics best practices


*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $$91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.


UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. 


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