Senior Decision Science Analyst, Life Company Data and Analytics; Paid Media Performance Analyst - Social & Search

USAA

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Antonio, TXCharlotte, NCPlano, TX
Salary: $114,080–$218,030 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k

This role $166k

$102k most similar roles pay here $231k

This role pays more than 55% of similar roles. Most pay $132,270–$196,850 — the shaded band above. At the midpoint, this role pays about $166k versus about $165k 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 40 open roles on FindRole.

Listed pay typically runs $142,320–$273,930 across 25 roles with salary data.

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View all roles at USAA

At a glance

TL;DR · Senior Decision Science Analyst, Life Company Data and Analytics; Paid Media Performance Analyst - Social & Search

Role Posting Log in to save

Decision Science Analyst Senior – Life Company Data and Analytics - Paid Media Performance Analyst – Social & Search joins the Life Company Data and Analytics team to drive growth through actionable insights. This role focuses on optimizing paid social, paid search, and emerging AI-powered search experiences by analyzing performance, audience segmentation, and conducting incrementality testing. The successful candidate will utilize SQL, Python, SAS, and various BI tools to synthesize complex data into clear narratives for management. Key responsibilities include performing exploratory data analysis, managing data hygiene, and translating technical findings into strategic recommendations to improve engagement and acquisition. Technical competencies include experience with Meta Ads Manager, Adobe Analytics, Google Ads, Bing Ads, SA360, and attribution tools. The role solves the challenge of connecting marketing investments to business outcomes through advanced statistical techniques and storytelling within the life insurance product space.

Skills

SQL Python SAS Data Visualization A/B Testing Paid Social Paid Search Meta Ads Manager Adobe Analytics Google Ads Bing Ads SA360 Floodlight Neural Networks Data Mining IoT EDA Incrementality Testing

What you'll do

Deliver actionable insights and optimization recommendations for Paid Social, Paid Search, and AI-powered search experiences.
Use SQL and Python to analyze marketing performance, audience segmentation, and incrementality testing.
Apply mathematical and statistical techniques to translate complex data into "insight to action" business recommendations.
Create data visualizations and communication materials to present findings to non-technical management levels.
Identify, gather, and integrate disparate data sources while ensuring proper data hygiene and documentation.
Provide subject matter expertise on operationalizing recommendations and monitoring risks in accordance with compliance policies.

What we're looking for

Bachelor's degree in a quantitative field or 10 years of relevant experience may be substituted for the degree.
Minimum of 6 years of data and analytics experience, or 4 years of experience combined with 2 years of industry-specific experience.
Advanced skills in mathematical and statistical techniques to drive fact-based decision-making.
Proficiency in SQL, SAS, and BI tools to develop queries, procedures, and data visualizations.
Experience with data wrangling, data munging, and integrating disparate data sources into actionable insights.
5+ years of experience using SQL and Python to analyze data and support marketing decisions (preferred).
3+ years of experience optimizing paid social and paid search campaigns (preferred).
Knowledge of AI-powered search, AEO, and familiarity with tools like Meta Ads Manager or Google Ads (preferred).