Data Analyst 3 (Finance and Records Dept.)

The Church of Jesus Christ of Latter-day Saints•Salt Lake, UT

About The Position

This role 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. This role applies advance analytics, foundational data science techniques, and responsible for generating insights and enhanced data-driven storytelling – while maintaining data quality and data governance.

Requirements

BS/BA Degree in mathematics, statistics, business information systems, or a related field
minimum 5 years performing multiple system data validation, quality assessments, and configuration of reports and standardized dashboards
Strong knowledge and skill in SQL, Databricks, AWS, Azure and Tableau
Writing of queries, and reports using SQL
Strong understanding of data structures and applying complex analysis of different statistical methodologies and data modeling
Demonstrated ability to present data with awareness of the audience receiving the data
Use of data to create visualizations that tell the data’s story, skillfully utilizing visual, written, and verbal communication methods
Works with minimal to moderate oversight and meets established deadlines
Delivers defined projects with regular oversight
Thrives in both a team environment and as an individual contributor

Nice To Haves

Prefer data management, data quality, or data visualization certification

Responsibilities

Understand the Data: Defining what the data is, where it originates, how it is captured, and how it is consumed
Document data definitions, lineage, and relationships across multiple systems
Identify opportunities to apply basic data science techniques (e.g., clustering, trend analysis, text analysis) to improve understanding of business data
Data Quality Assessment: Validation of data quality including sources, reliability, completeness, validity, and uniqueness
Use AI‑assisted profiling, statistical methods, and anomaly detection to uncover data issues
Organize the Data: Design and maintain data models that support analytics, dashboards, and entry‑level data science use cases.
Prepare datasets for exploration, feature analysis, and predictive modeling through effective structuring and aggregation.
Contribute to data warehouse and analytics platform design that supports analytics and machine‑assisted modeling.
Configuring Data for Access and Analysis: Build queries, datasets, and feature-ready tables using SQL and Databricks
Support exploratory data analysis (EDA), basic predictive modeling, and statistical testing under guidance
Perform quality assurance on analytical datasets, models,
Reporting, Visualization & Insight Development: Translate business questions into dashboards, reports, and analytical summaries that are actionable and measurable
Develop visualizations that explain both historical patterns and emerging trends or forecasts