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Data Analyst Project Coordinator Jobs in Utah (NOW HIRING)

Execute analytic projects to support company growth and retention strategies. * Support data quality efforts by flagging inconsistencies and helping document known issues. * Conduct moderately ...

Execute analytic projects to support company growth and retention strategies.  * Support data quality efforts by flagging inconsistencies and helping document known issues.  * Conduct moderately ...

Execute analytic projects to support company growth and retention strategies. * Support data quality efforts by flagging inconsistencies and helping document known issues. * Conduct moderately ...

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Project Coordinator

Salt Lake City, UT · On-site

$30 - $35/hr

  • Medical

  • Dental

  • Vision

Heavy tracking and data entry * Overtime required during busy season Required Skills: * 2+ years of ... Project, Coordinator, Construction, Utility, Job Site, Scheduling, Telecom) Company Description ...

Data Analyst

Salt Lake City, UT · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Assists the project team in the completion of project-related documentation. Recommended Experience Entry-level position into Business Analysis functional domain. May have prior experience as a ...

The Project Coordinator is responsible for the success of projects in their assigned territories ... installation, and analyzing/interpreting order requests to ensure accuracy of order entry.

The Project Coordinator is responsible for the success of projects in their assigned territories ... installation, and analyzing/interpreting order requests to ensure accuracy of order entry.

Program/Project Coordinator

Lehi, UT · Hybrid

$26.76 - $33.45/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Program/Project Coordinator Full-time Lehi, UT, US You'll be joining Adobe on a contract ... Write and execute test plans; analyze and report test results * Report bugs and collaborate with ...

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Data Analyst Project Coordinator information

What does a data analyst project coordinator do?

A Data Analyst Project Coordinator is responsible for managing and coordinating data analysis projects within an organization. They bridge the gap between data analysts, project managers, and stakeholders to ensure projects are completed on time and meet business objectives. Their duties often include planning project timelines, allocating resources, tracking progress, and communicating updates to all involved parties. Additionally, they may assist with data collection, analysis, and reporting to support project goals.

What are the key skills and qualifications needed to thrive as a data analyst project coordinator?

To thrive as a Data Analyst Project Coordinator, you need strong analytical skills, project management abilities, and a solid understanding of data visualization and reporting, often supported by a degree in statistics, business, or a related field. Proficiency with tools such as Excel, SQL, Tableau, and project management software like Asana or Trello is typically required, along with relevant certifications such as CAPM or PMP being advantageous. Excellent communication, organization, and problem-solving skills help ensure effective collaboration across teams and clear reporting of project progress. These competencies enable efficient, data-driven decision-making and successful project execution in fast-paced business environments.

How does a data analyst project coordinator typically collaborate with cross-functional teams during a project?

A Data Analyst Project Coordinator works closely with data analysts, project managers, IT specialists, and business stakeholders to ensure projects stay on track and deliver actionable insights. They facilitate communication, schedule meetings, and coordinate data collection efforts, while also translating business requirements into actionable data tasks. This role often involves balancing multiple priorities, resolving data-related roadblocks, and ensuring all team members are aligned with project goals and timelines. Effective collaboration and strong organizational skills are essential for success in this position.

What is the difference between Data Analyst Project Coordinator vs Data Analyst?

AspectData Analyst Project CoordinatorData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; some certifications like CAP or Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related; certifications like Microsoft Certified Data Analyst or Tableau Desktop Specialist
Work EnvironmentProject teams, cross-functional departments, often in corporate or consulting settingsData-focused teams, IT departments, analytics firms, or business units
Employer & Industry UsageUsed in project management, coordinating data tasks, ensuring project deliverablesUsed for analyzing data, creating reports, and deriving insights for decision-making

The main difference is that a Data Analyst Project Coordinator combines project management skills with data analysis, focusing on coordinating data-related projects. In contrast, a Data Analyst primarily focuses on analyzing data to generate insights. Both roles require similar educational backgrounds and certifications but differ in their core responsibilities and work environment.

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

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

What are popular job titles related to Data Analyst Project Coordinator jobs in Utah?

For Data Analyst Project Coordinator jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Data Analyst Project Coordinator jobs?

Cities in Utah with the most Data Analyst Project Coordinator job openings:

Other

Posted 13 days ago


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 83 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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