Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
USAA

Senior Decision Science Analyst – Paid Media Performance Analyst – Social & Search

USAA

. Deliver actionable insights and optimization recommendations across paid social, paid search, and emerging AI-powered search experiences .

Posted 9/28/2026full-timeUnited StatesSenior💰 $114,080 - $218,030 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, statistical techniques, and data visualization to drive business insights and optimize marketing strategies. Proficient in SQL and Python for data manipulation and analysis, with a strong focus on emerging technologies and compliance in analytics.

Highest-signal resume keywords
Data AnalysisSQLPythonData VisualizationPaid Social Campaign Optimization

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Mathematical TechniquesStatistical TechniquesData WranglingA/B TestingIncrementality StudiesAudience SegmentationCreative TestingPerformance AnalysisAnswer Engine OptimizationQuantitative Analysis
Soft Skills
Storytelling SkillsCollaborationCommunication
Tools & Technologies
Meta Ads ManagerAdobe AnalyticsGoogle AdsBing AdsSA360Floodlight TagsAttribution Tools
Industry Keywords
Data ScienceBusiness AnalysisMarketing Decision-MakingComplianceRisk Management

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Deliver actionable insights and optimization recommendations across paid social, paid search, and emerging AI-powered search experiences
  • Provide decision support for business areas across the association
  • Apply mathematical, statistical, scientific, and quantitative analytical approaches to business objectives
  • Gather, manipulate, synthesize, integrate, and transform data from disparate sources
  • Build recommendations and implementable strategies from models, transactions, behaviors, and other relevant information
  • Collaborate with channel managers, product marketers, campaign analysts, and cross-functional teams
  • Solve medium- to large-scale business problems affecting current and future business strategy
  • Translate recommendations into communication materials for management
  • Use data visualizations to explain analysis to less technical audiences
  • Identify quality data sources through testing and exploratory data analysis
  • Document assumptions, methodology, validation, and testing for peer review and compliance
  • Adopt emerging technologies affecting scientific and quantitative analytics
  • Present findings to influence management, business decisions, and strategy
  • Provide subject matter expertise in operationalizing recommendations
  • Monitor current data and analytics trends
  • Identify opportunities for continued learning in data and analytics
  • Ensure business risks are identified, measured, monitored, and controlled according to risk and compliance policies

Requirements

What you’ll need
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field, or 4 years of relevant education and/or experience substituted in lieu of degree; total of 10 years of experience without bachelor's degree
  • 6 years of data and analytics experience, or 4 years of data and analytics plus up to 2 years of progressive relevant functional business experience, or an advanced quantitative analytics degree plus 4 years of experience
  • Advanced mathematical and statistical techniques
  • Advanced knowledge of data analysis tools, data visualization, and SQL, SAS, BI tools, or other analysis software
  • Knowledge of relevant industry data and methods and ability to connect external insights to business problems
  • Experience with emerging datasets, data wrangling, and data munging
  • 5+ years using SQL and Python to analyze data, develop insights, and support marketing decision-making
  • 3+ years optimizing paid social campaigns, including audience targeting, bidding strategies, budget management, retargeting, and performance analysis
  • 3+ years optimizing paid search campaigns, including keyword strategy, query analysis, bidding, and customer acquisition performance measurement
  • Knowledge of AI-powered search and Answer Engine Optimization (AEO)
  • Experience with audience segmentation, creative testing, and influencer/creator performance analysis
  • Experience with A/B testing, incrementality studies, and control-versus-test frameworks
  • Strong analytics, data visualization, and storytelling skills
  • Familiarity with Meta Ads Manager, Adobe Analytics, Google Ads, Bing Ads, SA360, Floodlight tags, and attribution tools
  • Must not require visa sponsorship or immigration support now or in the future

Benefits

Comp & perks
  • Remote or hybrid flexibility may be available for active-duty military spouses, consistent with policy and business needs
  • Pay incentives may be available based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
  • Comprehensive medical, dental and vision plans
  • 401(k)
  • Pension
  • Life insurance
  • Parental benefits
  • Adoption assistance
  • Paid time off program
  • Paid holidays
  • 16 paid volunteer hours
  • Wellness programs
  • Career path planning
  • Continuing education and professional development support