Advanced Analytics Data Analyst
@ U.S. Bank

Charlotte, North Carolina, United States
$121,000
On Site
Posted 24 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @usbank.com
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Job Details

Overview

At U.S. Bank, we are dedicated to enabling smarter financial decisions by leveraging data. As an Advanced Analytics Data Analyst, you will work within the Business Banking Analytics team in the Enterprise Analytics & Customer Experience department, using descriptive statistics, data science, and data engineering to support strategic initiatives.

Key Responsibilities

  • Descriptive Statistics & Data Analysis: Summarize business banking data, identify trends, and provide actionable insights.
  • Advanced Statistics & Data Science: Apply predictive modeling and machine learning techniques to uncover trends.
  • Dashboard & Reporting Development: Create interactive dashboards and reports using Tableau or Power BI.
  • Data Engineering: Source and manipulate new data sources, build ETL pipelines, and ensure high data quality.
  • Strategic Analysis & Communication: Provide data-driven recommendations and present findings to both technical and non-technical stakeholders.

Qualifications

A bachelor's degree or equivalent experience with six to eight years in data analytics and statistical analysis is required. Financial services experience, strong SQL and SAS skills, proficiency in data visualization tools, and familiarity with data science concepts are highly preferred. Certifications and/or an advanced degree in related fields are a plus.

Work Arrangement & Benefits

This role offers a hybrid/flexible schedule with an expectation of 3 or more in-office days per week. U.S. Bank provides a comprehensive benefits package including healthcare, retirement plans, paid time off, and more.

Key skills/competency

  • descriptive statistics
  • data science
  • data visualization
  • ETL
  • predictive modeling
  • SQL
  • SAS
  • Tableau
  • Power BI
  • strategic analysis
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How to Get Hired at U.S. Bank

🎯 Tips for Getting Hired

  • Research U.S. Bank's culture: Study their mission, values, and recent news.
  • Customize your resume: Emphasize statistical and data science experience.
  • Highlight technical skills: Showcase expertise in SQL, SAS, and dashboard tools.
  • Prepare for interviews: Practice explaining complex analytics projects clearly.

📝 Interview Preparation Advice

Technical Preparation

Review SQL querying and database concepts.
Practice building dashboards in Tableau.
Study predictive modeling and machine learning basics.
Refresh ETL and data engineering practices.

Behavioral Questions

Describe a time you solved a complex problem.
How do you communicate data insights?
Explain your approach to teamwork under pressure.
Share experiences managing multiple projects.

Frequently Asked Questions