Daniel Boecker Email and Phone Number
As a data analytics and data engineering specialist, I bring extensive experience in driving enterprise data strategy and roadmaps, leading Agile teams, and managing multimillion-dollar project portfolios. My career has been defined by a commitment to innovation and excellence in executing large-scale data analytics and data management/governance initiatives.With a multi-faceted background as a strategic leader, technical subject matter expert, and change agent, I thrive in driving strategic planning, hands-on implementation, and day-to-day management of complex enterprise data projects. My technical expertise in data analytics and business intelligence (BI) is complemented by strong project management, problem-solving, and relationship-building skills.Throughout my career, I have been dedicated to building robust cross-functional partnerships and fostering stakeholder alignment to ensure the seamless execution of data initiatives. I am passionate about driving continuous improvement and leveraging decisive technical judgment to drive enterprise data ecosystem transformation efforts.Career Highlights:• Pioneered the development of cutting-edge financial metrics and data models at US Bank, resulting in a 15% increase in operational efficiency and a cost reduction of $2M.• Implemented a data modeling and validation procedure to identify key trends at US Bank, resulting in a 10% decrease in fraud and $1.5M in savings using SQL, SAS, and Python. • Directed the development and execution of data-driven strategies at St. Jude Medical, resulting in a 20% growth in annual revenue and a 15% boost in cost-efficiency measures. • Analyzed financial metrics at Optum Technologies to identify avenues for reducing costs and enhancing revenue streams, resulting in an additional $50M in savings and new revenue.• Led 6 healthcare data analysts at Optum Technologies that evaluated and constructed tailored KPIs, assessed financial metrics, and formulated cost-saving initiatives, resulting in $10M in savings. • Championed technological advancements and process improvements at UnitedHealthcare, resulting in a 15% increase in accurate decision-making and a $2M reduction in operational costs.• Oversaw and coached a team of 3 analysts at UnitedHealthcare, prioritizing individual growth during peak workloads, resulting in a 25% reduction in payment processing times and a revenue growth of $1.5M.
Bank Of America
View- Website:
- bankofamerica.com
- Employees:
- 232061
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Senior Quantitative Financial Risk Analyst In Financial CrimesBank Of AmericaCharlotte, Nc, Us
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Lead Analytic Consultant/Quantitative AnalystWells Fargo Sep 2024 - PresentMinneapolis, Minnesota, United States• Build, Fit, Maintain, Govern and Defend Quantitative and Qualitative Models for Financial Crimes to Line of Business Auditors and Regulatory Officials (AML/BSA) using Python, SAS, SQL, Teradata, Logistics, OLS, Exponential Regression, BTL/ATL..• Develop custom KPIs (key performance indicators) to track model performance including ATL/BTL analysis, also for LOB (line of business) to monitor model performance including collaborating in a cross-functional environment, defining business requirements and gathering data from disparate sources including structured and unstructured. • Deep-dive data analytics and data mining on disparate structured and unstructured data analyzing, finding new patterns, relaying the story of the data.• Utilize machine learning, artificial intelligence and algorithms to build and refine models. -
Lead Analytic ConsultantWells Fargo Apr 2024 - Aug 2024Minneapolis, Minnesota, United States• Utilize database knowledge and business processes to perform advanced data analysis to accurately identify populations of customers that require remediation and also calculate the refund, account adjustment or other resolution with tools like SAS, SQL, Teradata. • Knowledge of complaints space and CEDA with focus on attention to detail, translating, standards and summarizing complex data into understandable and actionable insights via storytelling of the data. • Lead analysis and cross-functional collaboration with stakeholders and leadership to define business requirements and build those into reporting requirements, track progress and report impact on future results. • Build data requirements and translate them into code, analyze large datasets including doing root cause analysis and independently validate data for quality control.
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Fraud Risk ManagerU.S. Bank Oct 2021 - Mar 2024Minneapolis, Mn• Established advanced statistical metrics, utilizing distributional analysis and ARIMA modeling to inform business strategies and improve business intelligence.• Extracted new insights on trends and communicated findings via statistical analysis and data visualization dashboards and presentations.• Guided a team of 6 data analysts and developed a technical training/partial rebuild initiative for the tech stack.• Educated the team on data pipelines and data marts, introducing web-scraping (via Python/Selenium), API calls (via SAS and Python) and coding best practices (SAS, Python and SQL) for reporting and analytics.• Rebuilt the data pipeline/data mart process using coding best practices and optimization skills to improve data availability from 50% up-time and 6-10-hour processing times per process to less than 10 minutes. • Fostered cross-functional collaboration with IT, access management, and other departments to construct data pipelines on distributed data, reducing reporting errors by 25% and driving $500K in savings. -
Credit Risk AnalystU.S. Bank Oct 2016 - Oct 2021Minneapolis, Minnesota, United States• Enhanced ETL process development by refining data pipelines by introducing direct calls of data and data requirements on unstructured data, improving data quality, and optimizing report accuracy.• Performed extensive big data analysis and data mining, leveraging advanced statistical techniques on large datasets to extract key insights and identify potential risks.• Deployed innovative technological report automation solutions, effectively reducing the time required for report processing and transitioning reporting schedules from days to minutes.• Enhanced business processes by replacing obsolete technology with state-of-the-art tools (Advanced SAS process), streamlining monthly reports, and equipping the team with access to contemporary resources.• Enhanced CCAR/CECL compliance reporting and audit efficiency by streamlining the monthly reporting process via strategic technological upgrades and process optimizations. a 90% reduction in processing time for critical reports.
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Clinical Data AnalystSt. Judes Medical Mar 2016 - May 2016Plymouth, Mn• Utilized data modeling and validation to identify emerging trends, effectively communicating findings to stakeholders and leaders, resulting in substantial cost reductions via data-driven business strategies.• Performed ETL processes on unstructured data and UAT across diverse data sets, standardizing data to yield valuable insights, introducing new analytical methods, and providing new insights in management reporting.
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Senior Healthcare Economics ConsultantOptum Health Oct 2012 - Jun 2015Eden Prairie, Mn• Designed a tailored process automation system, resulting in a 99% decrease in report generation duration for analysts, leveraging C#, XML, SQL, and Win Scheduler.• Established advanced data-driven metrics in dashboards and visualizations to inform business decisions and strategic planning.• Owned an end-to-end data analysis project that built a business intelligence dashboard and visualizations for stakeholders that became a must-have for executives utilizing Power BI, Excel, SQL and C#. -
Compensation AnalystUnitedhealth Care Oct 2008 - Oct 201255345• Directed the optimization of data pipelines, decreasing data processing duration by 30% and generating annual cost savings of $500K while enhancing data uniformity, precision, and reliability.• Utilized data modeling and validation techniques to provide trend insights accessible to technical and non-technical users, including C-level executives, via comprehensive financial analysis.• Developed and implemented a custom database structure employing SQL and VBA to replace a manual procedure, improving accuracy to 99.99%.• Created personalized Excel dashboards for sales reporting, improving the accuracy of sales forecasts, streamlining the sales procedure, and enhancing client relationships.
Daniel Boecker Education Details
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Applied Economics -
Economics
Frequently Asked Questions about Daniel Boecker
What company does Daniel Boecker work for?
Daniel Boecker works for Bank Of America
What is Daniel Boecker's role at the current company?
Daniel Boecker's current role is Senior Quantitative Financial Risk Analyst in Financial Crimes.
What schools did Daniel Boecker attend?
Daniel Boecker attended Johns Hopkins University Advanced Academic Programs, University Of Minnesota-Twin Cities.
Who are Daniel Boecker's colleagues?
Daniel Boecker's colleagues are Nalaya R., Harish Guna, Mark Winarsky, Iael Jaramillo, Cassie Bonney, Le'asia Woods, Tanvy Parekh.
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