below marketmost similar roles pay hereabove market
This role pays less than
55%
of similar roles. Most pay
$119,350–$188,225
— the blue band above.
At the midpoint, this role pays about
$137k
versus about
$154k
for comparable roles.
Based on 240 similar postings.
Employer
About USAA
USAA (United Services Automobile Association) is a San Antonio-based Fortune 500 financial services company founded in 1922, dedicated to providing insurance, banking, and investment solutions exclusively to U.S. military members, veterans, and their families.
USAA currently has
51 open roles
on FindRole.
Listed pay typically runs
$127,310–$243,340
across 35 roles with salary data.
The Decision Science Analyst I (Mid-Level) joins the Life Company Data and Analytics team to provide actionable insights for digital teams. This role focuses on analyzing customer journeys, digital funnels, and experimentation results to improve member engagement and conversion. The analyst will apply mathematical and statistical techniques to synthesize data, including attributes and behaviors, to create implementable strategies. Key responsibilities include performing exploratory data analysis, integrating disparate data sources, and translating complex findings into visualization materials for management. The position requires proficiency in SQL, Python, and SAS, alongside experience with Adobe Analytics, Glassbox, and Optimizely. By identifying user friction and optimization opportunities, the analyst solves business problems related to digital experience and performance within the insurance and financial services domain.
Analyze customer journeys, digital funnels, and experimentation results to provide actionable insights for digital teams.
Apply advanced mathematical and statistical techniques to solve large-scale business problems and drive strategic change.
Gather, manipulate, and synthesize disparate data sources to develop implementable business strategies.
Use SQL and Python to develop analysis queries and perform exploratory data analysis.
Utilize digital analytics and optimization platforms like Adobe Analytics, Glassbox, and Optimizely to identify conversion opportunities.
Create visualization materials and communication documents to present findings to mid-to-upper-level management.
Document all assumptions, methodologies, and validation testing to ensure compliance and facilitate peer reviews.
Identify and monitor risks associated with business activities in accordance with corporate policies.
What we're looking for
Bachelor's degree in a quantitative field or 4 years of relevant education/experience (totaling 8 years without a degree).
4 years of experience in data/analytics or functional business experience within the insurance or finance industries.
Advanced degree in a quantitative field with 2 years of experience in data/analytics or functional business experience within the insurance or finance industries.
Competency in mathematical and statistical techniques to drive fact-based decision-making.
Intermediate to advanced knowledge of SQL, SAS, BI tools, and data visualization software.
3 or more years of experience with SQL & Python for analysis (preferred).
3 or more years of experience with Adobe Analytics, Glassbox, and Optimizely (preferred).
3 or more years of experience analyzing digital funnels and customer journeys (preferred).
SQL
Python
SAS
Data Visualization
A/B Testing
Data Mining
Neural Networks
Adobe Analytics
Google Ads
Meta Ads Manager
Bing Ads
SA360
Cloud
Exploratory Data Analysis
Data Wrangling
IoT
Floodlight tags
SQL
SAS
Adobe Analytics
Google Analytics
Amplitude
Heap
Glassbox
Contentsquare
Quantum Metric
Data Visualization
Exploratory Data Analysis
BI Tools
Digital Analytics
Python
SQL
SAS
Statistics
Machine Learning
Data Visualization
Data Mining
Neural Networks
Cloud
Data Wrangling
EDA
Optimization
Simulation
IoT
BI Tools
SQL
SAS
Adobe Analytics
Google Analytics
Amplitude
Heap
Glassbox
Contentsquare
Quantum Metric
Data Visualization
Exploratory Data Analysis
BI Tools
Session Replay Technologies