U.S. Bank
Overview
We are seeking an experienced Advanced Analytics Analyst to join our Business Banking Analytics team within our Enterprise Analytics & Customer Experience (EACX) Department. This role blends descriptive statistics, data science, data visualization, advanced analytics, statistical analysis and data engineering to deliver insightful analysis and support strategic initiatives for our business partners in product, marketing and sales. The ideal candidate will have a strong foundation in descriptive statistics, data analysis, data visualization, data science and data engineering, with experience partnering with business partners, strategic analysis and effective communication. The candidate should be comfortable identifying and sourcing new data sources, extracting, manipulating and analyzing data, leveraging data science concepts, developing effective visualizations and dashboards, extracting actionable insights, and partnering with the business to translate insights into actionable recommendations. Key Responsibilities
Descriptive Statistics & Data Analysis: Utilize descriptive statistics to summarize and interpret business banking data, identify trends, patterns, anomalies and opportunities; perform in-depth data analysis to support various business functions with data accuracy and actionable insights. Advanced Statistics & Data Science: Apply advanced statistical methods and data science techniques, including predictive modeling and machine learning, to uncover trends and drive data-driven decision-making; develop models to predict customer behavior and identify business opportunities. Dashboard & Reporting Development: Design, develop and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present key metrics and insights; ensure dashboards are user-friendly and aligned with business needs. Data Engineering: Identify, source and manipulate new data sources and metrics; build and optimize data pipelines and ETL processes; collaborate with data engineering teams to enhance data infrastructure and ensure data quality. Strategic Analysis: Conduct strategic analyses to evaluate business performance, identify growth opportunities and support strategic planning; provide actionable recommendations to guide business strategies and improve efficiency. Problem Solving: Address complex business problems with innovative analytical approaches; work cross-functionally to define requirements, develop solutions and implement strategies. Strategic Mindset: Develop understanding of business banking dynamics and market trends; partner with product, marketing, customer experience and other stakeholders to translate business problems into analytics and actionable recommendations. Presentation & Communication: Communicate complex findings to technical and non-technical stakeholders through presentations and reports; use clear data visualizations to articulate value and recommendations. Education and Qualifications
Bachelor’s degree in a related field or equivalent work experience Five to seven years of statistical and/or data analytics experience Preferred Skills/Experience
Financial services experience Strong SQL and SAS querying skills Proficiency in descriptive and advanced statistical analysis; experience extracting, manipulating and analyzing large datasets Expertise in dashboard and report development using Tableau or Power BI Knowledge of data science and machine learning concepts Excellent problem-solving and strategic thinking with a track record of translating data into actionable insights Experience partnering with stakeholders to solve business problems and identify opportunities Strong presentation and communication skills Self-starter with attention to detail and ability to manage ambiguity Ability to manage multiple projects simultaneously Certification in business analytics, data mining, data science or statistical analysis Master’s Degree in Business Administration, Information Systems, Statistics, Business Analytics or Data Science Special Notes
This position is not eligible for visa sponsorship. The role offers a hybrid/flexible schedule with in-office expectation of 3 or more days per week and flexibility to work off-site on other days. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits
Healthcare (medical, dental, vision) Basic and optional life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (2–5 weeks, depending on salary grade and tenure) Up to 11 paid holidays Adoption assistance Sick and Safe Leave accruals U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, or other factors protected by law. E-Verify: U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. Learn more about the E-Verify program. The salary range reflects figures based on the primary location. Pay range for this role is: $105,400.00 - $124,000.00; actual range may vary by location. U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, and other eligible benefits. Posting may be closed earlier due to high volume of applicants.
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We are seeking an experienced Advanced Analytics Analyst to join our Business Banking Analytics team within our Enterprise Analytics & Customer Experience (EACX) Department. This role blends descriptive statistics, data science, data visualization, advanced analytics, statistical analysis and data engineering to deliver insightful analysis and support strategic initiatives for our business partners in product, marketing and sales. The ideal candidate will have a strong foundation in descriptive statistics, data analysis, data visualization, data science and data engineering, with experience partnering with business partners, strategic analysis and effective communication. The candidate should be comfortable identifying and sourcing new data sources, extracting, manipulating and analyzing data, leveraging data science concepts, developing effective visualizations and dashboards, extracting actionable insights, and partnering with the business to translate insights into actionable recommendations. Key Responsibilities
Descriptive Statistics & Data Analysis: Utilize descriptive statistics to summarize and interpret business banking data, identify trends, patterns, anomalies and opportunities; perform in-depth data analysis to support various business functions with data accuracy and actionable insights. Advanced Statistics & Data Science: Apply advanced statistical methods and data science techniques, including predictive modeling and machine learning, to uncover trends and drive data-driven decision-making; develop models to predict customer behavior and identify business opportunities. Dashboard & Reporting Development: Design, develop and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present key metrics and insights; ensure dashboards are user-friendly and aligned with business needs. Data Engineering: Identify, source and manipulate new data sources and metrics; build and optimize data pipelines and ETL processes; collaborate with data engineering teams to enhance data infrastructure and ensure data quality. Strategic Analysis: Conduct strategic analyses to evaluate business performance, identify growth opportunities and support strategic planning; provide actionable recommendations to guide business strategies and improve efficiency. Problem Solving: Address complex business problems with innovative analytical approaches; work cross-functionally to define requirements, develop solutions and implement strategies. Strategic Mindset: Develop understanding of business banking dynamics and market trends; partner with product, marketing, customer experience and other stakeholders to translate business problems into analytics and actionable recommendations. Presentation & Communication: Communicate complex findings to technical and non-technical stakeholders through presentations and reports; use clear data visualizations to articulate value and recommendations. Education and Qualifications
Bachelor’s degree in a related field or equivalent work experience Five to seven years of statistical and/or data analytics experience Preferred Skills/Experience
Financial services experience Strong SQL and SAS querying skills Proficiency in descriptive and advanced statistical analysis; experience extracting, manipulating and analyzing large datasets Expertise in dashboard and report development using Tableau or Power BI Knowledge of data science and machine learning concepts Excellent problem-solving and strategic thinking with a track record of translating data into actionable insights Experience partnering with stakeholders to solve business problems and identify opportunities Strong presentation and communication skills Self-starter with attention to detail and ability to manage ambiguity Ability to manage multiple projects simultaneously Certification in business analytics, data mining, data science or statistical analysis Master’s Degree in Business Administration, Information Systems, Statistics, Business Analytics or Data Science Special Notes
This position is not eligible for visa sponsorship. The role offers a hybrid/flexible schedule with in-office expectation of 3 or more days per week and flexibility to work off-site on other days. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits
Healthcare (medical, dental, vision) Basic and optional life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (2–5 weeks, depending on salary grade and tenure) Up to 11 paid holidays Adoption assistance Sick and Safe Leave accruals U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, or other factors protected by law. E-Verify: U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. Learn more about the E-Verify program. The salary range reflects figures based on the primary location. Pay range for this role is: $105,400.00 - $124,000.00; actual range may vary by location. U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, and other eligible benefits. Posting may be closed earlier due to high volume of applicants.
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