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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and statistical techniques, with a strong ability to analyze complex data sets and develop actionable insights. Proficient in utilizing analytics software and visualization tools to present findings and recommendations effectively.
Highest-signal resume keywords
Data Analytics ExperienceStatistical Software ProficiencyPredictive ModelingProject Management SkillsB2B Financial Services Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical TechniquesPredictive ModelingComplex Data InterpretationData IntegrationData AcquisitionTrend AnalysisActionable Insights DevelopmentProject ManagementCompliance with Standards
Soft Skills
Effective CommunicationTeam CollaborationInterpersonal SkillsCuriosityAdaptability
Tools & Technologies
SQLRPythonExcelHadoopSASPower BITableauAI Applications in AnalyticsVisualization Tools
Industry Keywords
B2BFinancial ServicesAnalyticsAdvanced AnalyticsStatistical AnalysisData ComplianceBusiness ConductWorkplace SafetyAgency EnvironmentGrowth Mindset
Tech Stack
Tools & technologiesHadoopPythonSQLTableau
About the role
Key responsibilities & impact- Work on big data and analytics projects involving large volumes of data
- Gather, integrate, and acquire data from multiple sources
- Analyze, interpret, and identify trends or patterns in complex data
- Develop actionable insights and recommendations for company-wide use
- Answer business questions and recommend actions
- Apply statistical techniques and tools to interpret data and analyze results
- Present data and analysis clearly so audiences understand results and recommendations
- Collaborate with partners to provide a holistic view of analyses
- Measure and monitor the results of applied recommendations
- Present adjustments based on measured results
- Ensure data acquisition, sharing, and recommendation results comply with company standards
Requirements
What you’ll need- Bachelor's degree in a related field, or equivalent work experience
- Five to seven years of statistical and/or data analytics experience
- Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, and others
- Experience in analytics, advanced analytics/statistics, and predictive modeling
- Strong analytic skills with complex data sets
- Demonstrated project management skills
- Effective interpersonal, verbal, and written communication skills
- B2B experience in financial services or a similar industry
- Experience with visualization tools such as Power BI and Tableau
- Curiosity and a growth mindset, with adaptability to evolving analytics, reporting, and technology landscapes
- Strong team collaboration skills and comfort partnering with marketing stakeholders
- Experience with and interest in exploring AI applications within analytics
- Previous agency-environment experience is a plus
- Ability to work from a U.S. Bank location three or more days per week
- Ability to comply with U.S. Bank policies and procedures, including the Code of Ethics and Business Conduct and workplace conduct and safety policies
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution and pension