FamilySearch Data Quality Analyst at The Church of Jesus Christ of Latter-day Saints, Lehi, UT

FamilySearch Data Quality Analyst at The Church of Jesus Christ of Latter-day Saints in Lehi, UT. Est. up to $130k. Apply with swipeandhired.

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.

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.

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.