Data Scientist & Senior Data Analyst in Data Analytics & AI at BearingPoint, delivering advanced analytics initiatives and AI - driven solutions for diverse clients. Collaborating with cross - functional teams to translate data into actionable insights.
About the role
- Data Analyst responsible for big data analytics and insights for U.S. Bank. Collaborating with partners to provide actionable recommendations based on data analysis.
Responsibilities
- Responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company
- Acquires data from multiple data sources in order to perform analysis
- Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action
- Interprets data and analyze results using various statistical techniques and tools
- Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data driven decisions
- Collaborate with various partners to provide a holistic view of the analysis
- Measures and monitors results of applied recommendations and present adjustments
- Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards
Requirements
- Bachelor's degree in a related field, or equivalent work experience
- Five to seven years of statistical and/or data analytics experience
- Proven experience with BI tools (Tableau, Power BI) and ETL tools (Alteryx)
- Strong understanding of consumer retail and small business banking products and associated sales processes
- Excellent communication skills with the ability to present technical concepts to non-technical audiences
- Partner with stakeholders across the organization to understand business needs and deliver data-driven solutions
- Advanced proficiency in SQL and data manipulation techniques
- Demonstrated ability to manage multiple projects simultaneously and deliver results under tight deadlines
- Familiarity with Jira or other agile project management tools
- Experience with data governance and data quality frameworks
Benefits
- 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
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