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Day Amazon Data Analyst Jobs in Utah (NOW HIRING)

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... Omnicom's policy requires employees to work in the office for a minimum of three days a week ...

Data Analyst

Salt Lake City, UT · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... Must be able to work in a stationary position 50% - 75% of the work day * Medical, Dental Vision ...

Data Analyst

Salt Lake City, UT · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance ... Assists in the analysis of underlying issues arising from investigations into requirements. Assists ...

Sr. Data Analyst

Salt Lake City, UT · On-site +1

$83K - $105K/yr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Although your day-to-day work will be with the function to which you are assigned, you will be well ...

Sr. Data Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Although your day-to-day work will be with the function to which you are assigned, you will be well ...

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Day Amazon Data Analyst information

What challenges might a Day Amazon Data Analyst face, and how can they address them?

A Day Amazon Data Analyst often encounters challenges such as handling large volumes of complex data, ensuring data accuracy, and meeting tight deadlines for reporting and analysis. To address these, it's important to develop strong data validation processes, maintain clear communication with stakeholders, and continuously improve technical skills in tools like SQL and Excel. Collaborating closely with cross-functional teams helps to clarify data requirements and prioritize projects effectively, making it easier to deliver actionable insights that drive business decisions.

What is a Day Amazon Data Analyst?

Day Amazon Data Analysts are professionals who specialize in analyzing and interpreting data during daytime business hours at Amazon. They use various data analytics tools and techniques to identify trends, monitor business performance, and generate actionable insights that support decision-making across different departments. Their responsibilities may include creating reports, visualizing data, and collaborating with teams to optimize operations, improve customer experience, and drive business growth. These analysts typically have strong skills in statistics, data management, and business intelligence software.

What skills and qualifications are needed to thrive as a Day Amazon Data Analyst?

To thrive as a Day Amazon Data Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of statistics, often supported by a degree in a quantitative field. Familiarity with SQL, Excel, Python or R, and Amazon's proprietary data systems like Redshift or QuickSight is typically required. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data and present actionable insights to stakeholders. These skills ensure accurate analysis, drive data-informed decisions, and contribute to Amazon's operational and business success.

What is the difference between Day Amazon Data Analyst vs Day Amazon Business Analyst?

AspectDay Amazon Data AnalystDay Amazon Business Analyst
Primary FocusData analysis, reporting, and insights generationBusiness process improvement, strategy, and decision support
Required SkillsData tools (Excel, SQL, Tableau), analytical skillsBusiness acumen, communication, problem-solving
Work EnvironmentData-driven teams within Amazon's operationsCross-functional teams focusing on business strategies
CertificationsData analysis certifications (e.g., Microsoft, Tableau)Business or management certifications (e.g., PMP, MBA)

While both roles support Amazon's operations, the Day Amazon Data Analyst primarily focuses on analyzing data to inform decisions, whereas the Day Amazon Business Analyst concentrates on improving business processes and strategies. The roles often overlap but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Amazon Data Analyst jobs in Utah?

The most popular types of Amazon Data Analyst jobs in Utah are:

Full-time

Posted 12 days ago


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description


This position is part of the BYU-Pathway Institutional Research (IR) team, which makes data visible and actionable for organizational decision-makers and implementation teams. BYU-Pathway operates with more of a start-up feel than is common in higher education research, creating significant opportunity for innovation and analytical impact. Leadership relies on IR to explain initiative performance, monitor key performance indicators, conduct applied research, and forecast future institutional outcomes.
This position is centered on transforming institutional data and research into trusted analytic products, clear findings, and actionable guidance. The incumbent will build and maintain reporting products, execute research projects, steward complex analytic methods, support shared reporting standards, and coordinate with internal and partner-organization stakeholders. Success requires strong technical capability, disciplined research practice, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences.
Work Schedule: This is a full-time benefitted position located within commuting distance of BYU-Pathway headquarters in downtown Salt Lake City. The position is hybrid-remote, currently requiring 1-3 days per week in the office, and the incumbent must physically reside and perform assigned work in Utah. Occasional travel will be necessary.
Responsibilities
1. Develop and Maintain Reporting & Analytics Solutions
  • Develop and maintain PowerBI dashboards, reports, semantic models, and dataflows.
  • Integrate data from multiple institutional systems to create reliable trend analyses, especially directed at the management and reporting of core institutional forecasting operations
  • Develop and manage recurring surveys and associated reporting processes using approved data collection instruments[DW1.1][KG1.2] and channels (e.g. Qualtrics)
  • Automate reporting workflows, including appropriate use of AI-assisted tools where they improve efficiency and quality.
  • Promote and maintain data life-cycle documentation by helping define business terminology, metadata standards, and data lineage to strengthen institutional data context and discoverability
2. Applied Research and Advanced Analysis
  • Collaborate with stakeholders to understand business questions and analytical needs.
  • Gather, prepare, and analyze institutional data to support applied research and organizational decision-making.
  • Apply statistical and analytical techniques to identify trends, relationships, and opportunities.
  • Conduct research using a variety of quantitative and qualitative methods appropriate to the project, making use of current best practices.
  • Regularly summarize findings for BYU-Pathway stakeholder and executive leadership through reports, dashboards, presentations, and visualizations
3. Decision Support and Project Management
  • Respond to ad hoc data requests and perform deep-dive analyses.
  • Partner with request and project stakeholders to define requirements, clarify analytic assumptions, and promote consistent interpretation of impact and metrics.
  • Working with IR team and Pathway leadership, prioritize and manage project lifecycles and outcomes according to stakeholder expectations and delivery deadlines.
4. Reporting Standards and Data Quality
  • Maintain and update shared standards and practices used in reporting, analytics, and related operational workflows
  • Ensure reporting designs and data collections align with church, CES and BYU-Pathway data governance protocols and requirements
  • Identify inconsistencies in data or reporting procedures and recommend improvements
5. Facilitate cross-organization partnerships
  • Collaborate with partner organizations on shared reporting and analytics initiatives
  • Support effective adoption of reporting solutions through clear documentation, user guidance, and stakeholder training
  • Represent the IR team or BYU-Pathway in Church, CES or related higher education meetings and presentations

Qualifications
Education
Bachelor's degree in statistics, data science, computer science, economics, mathematics, educational assessment, social science research, or another quantitative field. Master's degree preferred.
Experience
Experience in business intelligence, data analytics, reporting, or institutional research. Experience integrating data from multiple systems and supporting organizational decision-making is preferred.
Required Skills
Power BI (reports, data models, Dataflows, Power Query, DAX)
• Proficiency in SQL for extracting, validating, and shaping data for analysis and reporting
• Data integration and data quality validation procedures
• Understanding of data lifecycle and reporting architecture
• Strong research design skills, including translating stakeholder needs into measurable questions, defining outcomes, selecting methods, and documenting assumptions and limitations
• Statistical analysis[DW4.1] and quantitative reasoning (descriptive and inferential)
• Data visualization skills (technical and soft skills) which integrates analytics, design, and storytelling
• Strong written and verbal communication
Preferred Skills[DW5.1]
Survey design, administration, and reporting (particularly in Qualtrics).
• Semantic models and data modeling
• R programming experience
• Experience in designing and synthesizing qualitative research (e.g., interviews, focus groups, and mixed-methods synthesis).
• Experience in higher education or institutional research
• Experience with learning analytics and assessment
About Us
Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

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