Senior Data Analyst

Key Skills

Algorithms, Analytical and Problem solving, Apache Hadoop, Google BigQuery, JavaScript, Machine learning techniques, Microsoft-Excel, Natural Language Processing (NLP), PowerBI, R Programming, SAS, SPSS Statistics, SQL

Job Description

WCIB Data Engineer & Data Analyst

Wealth, Corporate, Commercial and Institutional Banking (WCIB) at US Bank manages approximately $9B in revenue, $3.1B in net income and generates approximately 37% of overall revenue for the bank. Corporate and Commercial Banking offers lending, equipment finance and smallticket leasing, depository services, treasury management, capital markets services, international trade services and other financial services to middle market, large corporate, commercial real estate, financial institution, non-profit and public sector clients. Wealth Management and Investment Services provides private banking, financial advisory services, investment management, retail brokerage services, insurance, trust, custody and fund servicing through four businesses: Wealth Management, Global Corporate Trust & Custody, U.S. Bancorp Asset Management and Fund Services.

WCIB’s relationship-oriented teams are immersed every day in the management of their relationships with the wealth, commercial and institutional client segments. Each of these teams has a deep understanding of their clients’ needs and regularly partner with enterprise analytics to help bring the full spectrum of WCIB offerings to meet these needs.

We are looking for top notch analyst to provide analytics support to our WCIB business stakeholders with hungry, curious and do-whatever-it-takes attitude. Our analyst is an expert professional who works independently. This position is responsible for drawing solutions from multiple domains and weaponizing data.

You, your team and its culture:

You will work with an amazingly agile multi-cultural team that is helping to build tomorrow’s bank. The team is rapidly growing both in terms of its influence and impact. You will experiment, build strong relationships, learn complexities of banking, observe data along with human behavior/incentives, drive digital adoption, lead new ways of doing business and get to be a true champion of impactful, industry-leading data-driven analytic solutions. Team encourages open culture, free exchange of thoughts and fosters a startup mentality.

Your day to day:

Responsibilities include working on big data/analytics projects, including gathering and integrating large volumes of data, performing analysis, interpreting results and developing actionable insights and recommendations for use across the company. This includes hands on data development, designing, developing and maintaining data pipelines and infrastructure to ensure the availability, accuracy and performance of our data dashboards. You will work closely with cross-functional teams to integrate data from various sources and systems including data mining, data auditing, aggregation, validation and reconciliation. This position may also have a working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis, interpret data and build advanced analytic solutions.

You will also work on advancing the development of metrics, reports and analysis into integrated dashboards that support field-based relationship managers and product leaders in Wealth, Corporate, Commercial and Institutional Banking (WCIB). Through the deep understanding of your users and the data you will consult on statistical analysis performed by your Data Science peers as well as contribute to measuring the key business outcomes as new analytic products are tested with the relationship manager and leadership team in WCIB. You get to work with leading ML and AI tools – both on-prem and cloud. This role will also play an active role with other data engineers, Salesforce experts, and business line product owners in the business line ensuring the critical data is available and reliable in the proper platforms with clear SLAs.

Key Deliverables:

Communication/Presentation

• Communicate complex data concepts, metrics and dashboards to a non-technical audience.
• Engage with business stakeholders, challenge assumptions and build industry leading analytical solutions.
• Partnering with new and existing data vendors.

Domain Expertise

• Quickly learn complex B2B banking dynamics and design data-driven solutions that create competitive differentiation.
• Familiarity and understanding of banking and investment products and services.

Data Engineering

• Wrangle, join and create new data from a variety of different sources and efficiently create a unified user-friendly dashboard for the business.
• Enable a data foundation that includes advanced analytic solutions for RM’s that allows them to find, track and discover opportunities.
• Research data assets from multiple disparate sources, applies various technologies find and move data assets for analysis, development of metrics, reports, and statistics.
• Documenting calculations, code, and adhering to data management principles
• Validating and testing data assets of others in the form of peer review
• Identify and lead the remediation of key data quality issues impacting Salesforce and our ability to deliver

• Participate in the buildout of the analytics delivery, reporting and technology infrastructure required to support the delivery of insights and reporting.

Analytics / Data Science

• Exploring statistical analysis that could be applied to the data; Performing descriptive statistics, exploring datasets, building visualizations iteratively to explore and understand the data
• Conduct exploratory analysis and partner with data science team to design ML/AI solutions

Dashboard Development

Building business friendly dashboards in Microsoft Power BI or similar dashboarding tool such as Tableau.

Delivery of advanced analytic solutions via modern BI tools that prioritizes potential new leads to improve prospecting, data for deepening engagement within our existing client set, and reducing the risk of attrition.

Innovation

• Curiosity and proactiveness to research new and cutting-edge data sourcing and development technologies such as web scraping, text analytics and NLP.

Basic Qualifications

• Bachelor's degree in related field or equivalent work experience

• Five to Seven years of statistical and/or data analytics experience

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.

Learn how the way we work at U.S. Bank drives meaningful relationships with our customers and collaboration across the company.

Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

• 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

EEO is the Law

U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal KNOW YOUR RIGHTS EEO poster. 

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. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, US Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401k contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $99,365.00 - $116,900.00 - $128,590.00