FamilySearch Data Quality Analyst
The Church of Jesus Christ of Latter-day Saints
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- Location
- Lehi, UT
- Job type
- Full time
- Posted
- Oct 14
- 2 days ago
Career path
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About the company
The Church of Jesus Christ of Latter-day Saints
Religious institutions · 10,001+ employees
What you'll do
- Oversee quality assessment across aspects of FamilySearch and provide reliable data for decision making.
- Integrate structured and unstructured data from multiple systems for standardized dashboards and reporting, and conduct ad hoc deep-dive analysis and interpretation.
What you need
- Minimum 2 years performing multiple system data validation, quality assessments, and configuration of reports and standardized dashboards
- <span data-teams="true">Understanding of basic statistical principles and probability sampling methodologies</span>
- <span data-teams="true">Good communication skills – both verbal and written</span>
- <span data-teams="true">Ability to present data graphically</span>
- <span data-teams="true">Process adherence and quality improvement process knowledge. </span>
- <span data-teams="true">Ability to measure quality results against acceptance criteria and communicate performance.</span>
- <span data-teams="true">Develop processes to evaluate effectiveness in meeting a standard.</span>
- <span data-teams="true">Detail oriented and willing to work with teams of volunteers and service missionaries to oversee projects in many different languages. </span>
- <span data-teams="true">Additional language knowledge and being able to apply translation tools is helpful.</span>
- <span data-teams="true">Experience using Excel and PowerBi as well as other statistical, database or programming software are needed.</span>
- <span data-teams="true">Measuring and understanding data accuracy and how data quality impacts organization results. Understanding cross functionalities of data across a system or organization. </span>
- Education: a bachelor's degree
Key skills
data validationquality assessmentsExcelPowerBistatistical principlesprobability sampling methodologiesdata accuracystandardized dashboardsreportingquality improvementcommunication skillstranslation tools
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Read the full posting here
We are seeking individuals who will help oversee the assessment of quality across many aspects of FamilySearch.
These individuals will provide department leadership with reliable data from trusted source systems that will empower and influence key decision making. Access and integrate data for reporting to establish data standards, quality and reliability.
Education:
BS/BA Degree in mathematics, statistics, computer science, or a related field.
Work Experience:
Minimum 2 years performing multiple system data validation, quality assessments, and configuration of reports and standardized dashboards
Demonstrated Skills & Abilities:
Understanding of basic statistical principles and probability sampling methodologies
Good communication skills – both verbal and written
Ability to present data graphically
Process adherence and quality improvement process knowledge.
Ability to measure quality results against acceptance criteria and communicate performance.
Develop processes to evaluate effectiveness in meeting a standard.
Detail oriented and willing to work with teams of volunteers and service missionaries to oversee projects in many different languages.
Additional language knowledge and being able to apply translation tools is helpful.
Experience using Excel and PowerBi as well as other statistical, database or programming software are needed.
Measuring and understanding data accuracy and how data quality impacts organization results. Understanding cross functionalities of data across a system or organization.
The Data Quality Analyst will work on data coming from multiple systems, and will integrate both structured and unstructured data for the creation of standardized dashboards and reporting. They must understand the relationship of the data from the various sources for integration. This level will also perform ad hoc, deep dive analytical analysis, and interpretation.