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Remote Power Query Jobs in Utah (NOW HIRING)

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

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 ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Extensive experience and working knowledge with SQL and relational databases, including query ...

Remote Power Query information

What are the key skills and qualifications needed to thrive as a Remote Power Query Specialist, and why are they important?

To thrive as a Remote Power Query Specialist, you need advanced knowledge of data analysis, Power Query (M language), and data transformation concepts, often supported by a degree in computer science, information systems, or a related field. Proficiency with Microsoft Power BI, Excel, and other data visualization or ETL tools, along with relevant certifications like Microsoft Certified: Data Analyst Associate, is typically required. Strong problem-solving ability, attention to detail, and clear communication are vital soft skills for understanding client needs and delivering accurate data solutions remotely. These skills and qualifications ensure efficient data management, enable effective remote collaboration, and drive insightful business decisions.

What are the typical challenges faced by Remote Power Query professionals, and how can they be addressed?

Remote Power Query professionals often encounter challenges related to data connectivity, especially when integrating multiple data sources across different environments. Ensuring consistent data refreshes and troubleshooting connection issues can require creative problem-solving. Effective communication with team members and data owners is key to resolving discrepancies and clarifying requirements. Maintaining documentation and using version control for queries help streamline collaboration and minimize errors while working remotely.

What is a Remote Power Query specialist?

A Remote Power Query specialist is a professional who works from a remote location and is skilled in using Microsoft Power Query, a data connection technology that helps users discover, connect, combine, and refine data across a wide variety of sources. These specialists typically assist organizations in automating data preparation and transformation tasks for business intelligence and reporting. Their expertise allows businesses to streamline data workflows, improve data accuracy, and save time by creating efficient data models and queries without needing in-person support.

What is the difference between Remote Power Query vs Remote Data Analyst?

AspectRemote Power QueryRemote Data Analyst
Required SkillsData transformation, Power Query, Excel, Power BIData analysis, SQL, Excel, Power BI, visualization
Work EnvironmentRemote, primarily using data tools and platformsRemote, involving data interpretation and reporting
Industry UsageBusiness intelligence, data preparation rolesData analysis, reporting, business insights

Remote Power Query focuses on data transformation and preparation using Power Query tools, often as part of data cleaning and modeling. Remote Data Analysts perform broader data analysis, including interpreting data, creating reports, and providing insights. While both roles require skills in Power BI and Excel, Power Query specialists concentrate on data shaping, whereas Data Analysts handle comprehensive analysis and reporting tasks.

What are the most commonly searched types of Power Query jobs in Utah? The most popular types of Power Query jobs in Utah are:
What job categories do people searching Remote Power Query jobs in Utah look for? The top searched job categories for Remote Power Query jobs in Utah are:
What cities in Utah are hiring for Remote Power Query jobs? Cities in Utah with the most Remote Power Query job openings:
Senior Data Analyst - Remote

Senior Data Analyst - Remote

UnitedHealth Group

Draper, UT • On-site, Remote

$80.40K - $101.40K/yr

Full-time

Retirement

Posted 20 days ago


UnitedHealthcare rating

7.8

Company rating: 7.8 out of 10

Based on 651 frontline employees who took The Breakroom Quiz

101st of 864 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:

  • Bachelor's degree in Data Analytics, Finance, Economics, Statistics, Information Systems, or a related field, or equivalent practical experience
  • 5 years of experience in data analytics, with direct experience supporting Credit, Credit Risk, or Lending teams within a bank or financial services organization
  • Advanced experience with Power BI, including data modeling, DAX, custom measures, and designing executive-ready dashboards
  • Hands-on experience developing, maintaining, and supporting SSRS reports in a production environment
  • 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
  • Proven advanced Excel skills, including pivot tables, Power Query, Power Pivot, complex formulas, and statistical or financial analysis
  • Proven ability to validate data, reconcile across multiple source systems, and ensure high data quality and reporting accuracy
  • Proven solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights
  • Proven 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 to $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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