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Decision Scientist

Job in West Valley City, Salt Lake County, Utah, 84119, USA
Listing for: Ken Garff Automotive Group
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
**** Technical Proficiency:****
* ** Strong BI experience and advanced SQL skills with hands-on application.**
* ** Familiarity with dbt, Airflow, or modern data transformation tools.**
* ** Experience with Python or R for analysis or data preparation.**
* ** Exposure to API data integration or working with semi-structured data (JSON, logs, etc.)
****** Data Warehousing:
** Working knowledge of Snowflake or similar cloud data platforms
****** Business Acumen:
** Ability to connect data insights to real business outcomes
****** Communication

Skills:

** Strong written and verbal communication, with the ability to explain data concepts clearly
****** Adaptability:
** Ability to move quickly in a startup environment and pivot with changing priorities**
* ** Experience leveraging AI/ML tools, LLMs, or automation frameworks to enhance analytics workflows**
* ** Familiarity with prompt engineering, AI-assisted reporting, or intelligent data exploration tools**
* ** Background in auto finance, consumer lending, credit, collections, delinquency, or loss mitigation**
* ** Understanding of loan lifecycle metrics (originations, charge-offs, recovery rates, etc.)**
* ** Knowledge of regulatory or compliance reporting in financial services**
* ** Experience supporting operations, customer servicing, or performance teams**
* ** Ability to prioritize work based on business value and ROI**
* ** Exposure to experimentation, A/B testing, or performance optimization**
* ** Experience with data validation, reconciliation, and quality monitoring**
* ** Familiarity with data documentation and lineage practices**
* ** Strong ownership and accountability**
* ** Strong curiosity and desire to understand the “why” behind the data**
* ** Ability to operate independently while collaborating cross-functionally**
* ** Comfort navigating ambiguity and building processes from the ground up*
* #J-18808-Ljbffr
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