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FamilySearch Business Intelligence Data Analyst Job at TieTalent in Salt Lake Ci
TieTalent, Salt Lake City, UT, US, 84193
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About
Job Description
The Family History Department (FamilySearch International) seeks to enable inspiring journeys that bring joy to all people as they discover, gather, and connect their family - past, present, and future.
The Business Intelligence (BI) Team assists FHD management in setting strategy and measuring business objectives that maximize efficient use of resources. To accomplish this, we build, maintain, and utilize a single-source-of-truth Enterprise Data Warehouse and other tools to provide data, analysis, and reports that are independent, timely, accurate, and meaningful.
The Data Analyst position is a full-time benefited position based in Lehi, Utah. Candidates seeking to work remotely will not be considered.
Responsibilities
Develop reports, analysis, and dashboards using SQL and Tableau and Power BI to meet the needs of key partners and stakeholders.
Meet with partners and stakeholders to receive requests and input, determine analytical needs within the department, and define standardized data sets to meet those needs.
Be able to confidently and persuasively present analyses to fellow BI team members, key stakeholders within the organization, and senior decision makers.
Become proficient with all available data sources, data structure, and metrics currently in use in the Family History Department.
Assist with increasing the data literacy and adoption of created dashboards and analyses among data consumers within the Family History Department.
Become a subject matter expert in visualization and dashboard development utilizing Tableau, Microsoft Power BI, and other data analysis and presentation tools.
Assess and test analytical tools and methodologies for potential use on the BI Team.
Qualifications
Completed degree in one of the following areas: Business Intelligence, Data Analysis, Data Science, Information Systems, Statistics, or another analytical field.
Work experience of 3+ years in a business intelligence or related role or a master's degree and 1+ years in a business intelligence or related role.
Experience with data visualization tools (Tableau, Microsoft Power BI, etc.).
Strong SQL skills are required, experience with Python coding and Databricks is a plus.
Ability to research and understand a customer's needs, problems, and potential constraints.
Understanding the analytical process and having a curious and inquisitive mindset.
Ability to work with minimal supervision and identify opportunities to provide value.
Ability to troubleshoot, research, and learn using generative artificial intelligence.
Ability to build and maintain relationships.
Excellent communication and presentation skills.
Familiarity and experience with the FamilySearch website and apps are a plus.
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.
Nice-to-have skills
SQL
Tableau
Power BI
Python
Utah, United States
Work experience
Data Analyst
Business Intelligence
Languages
English
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Research, Analyst, and Information Technology
Industries Technology, Information and Internet
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