Senior Analytics Engineer
After traveling all over the country with my wife and our pup in our Sprinter van in 2019, we have settled in Portland, OR where I work as a Senior Analytics Engineer. Over the past 15 years, I have consistently demonstrated the ability to deliver valuable insights via data analytics and advanced data-driven methods. I have been relied on as a key advisor in providing deep customer insights, driving sales and demand growth; and gains in customer loyalty.
Skills & Proficiency
Python
SQL
AWS
Airflow
DBT
Tableau
Experiences
- Lead Nike’s Materials Operation Excellence (MOX) Analytics teams by developing the automation pipelines, tools, and frameworks that provide clean and consistent data to all levels of the Materials organization.
- Design, build, and govern MOX’s analytical models, mixing internal, external, and enterprise datasets. Layer in analytics like optimization, forecasting, and reporting to derive insights.
- Design, deploy, monitor, and troubleshoot data pipelines leveraging Airflow, Spark, Python, and AWS Lambda.
- Design and build reusable frameworks and Python libraries to support scalable ETL products.
- Develop scalable CI/CD pipelines leveraging GitHub, Jenkins, Artifactory, Docker, and Airflow.
- Led Nike’s Global Retail Operations Analytics and Insights team by developing automation tools and dashboards that guide insights and support the decision-making process across all levels of the organization.
- Collaborated with operations managers and product teams to formulate hypotheses, explore datasets, and provide statistically grounded recommendations to ensure store processes and tools meet business objectives.
- Developed sustainable solutions to automate the ETL process and ensure BI reporting was consistent and up to date. Mastered new technologies rapidly to support varied initiatives.
- Built and deployed quantitative research/forecasts, and report business key performance indicators to understand and optimize drivers of growth and performance.
- Consult with companies to understand their issues, provide insights and analysis, and implement statistical based solutions.
- Automated the gathering, cleansing, and feature engineering stages of model development.
- Developed and implemented new forecasting methodologies to increase accuracy and interpretability.
- Designed strategies for testing A/B experiments.
- Led monthly business performance metrics process reporting to President of US Operations which included collaborating with division leaders to synthesize results and provided guidance to support executive decisions.
- Created and presented a quarterly Financial Competitive Intelligence report which analyzed short and long term financial trends and growth strategies across eight of Aflac’s closest competitors.
- Interpreted financial results for internal strategic initiatives, managed variance analysis against targets, realigned expectations, and coordinated development of corrective action plans to close gaps.
- Designed and maintained scorecards and P&L statements for strategic initiatives to evaluate the profitability of individual projects compared to plan/forecast.
- Developed a predictive model using machine learning that leverages up-to-date CRM data to provide an accurate sales pipeline to sales leadership.
- Supported the Staples Shared Services Financial Planning and Analysis (FP&A) activities including financial planning and forecasting, business analysis, management reporting, and decision support.
- Supported full P&L responsibility by providing financial consulting, strategic support, and analysis of initiatives and special projects to facilitate realization of financial objectives.
- Coolaborated and gained consensus among division leaders to prepare executive reporting decks for management meetings.
- Performed SQL queries and R models for various ad hoc analyses, predictive models, and reports as needed.
- Assisted Shared Services teams with planning process improvement projects and productivity initiatives to deliver key improvements.
- Utilized knowledge of key business cycle trends to support the preparation of the annual budget for Financial Shared Services.
- Designed and developed cross-enterprise business intelligence applications that automated month-end reporting and provided greater insight into emerging drivers and trends.
- Built business intelligence applications for the Sales Compensation, Underwriting and Product Development departments.
- Used multiple machine learning techniques to create predictive models which led to increased customer retention and profitability.
- Led the 5-year GAAP and Statutory forecasting and strategic planning process for Colonial Life (approx. $1.4B in annual revenue).
- Prepared monthly/quarterly reporting and variance analysis packages for Colonial Life financial leadership.
- Financial liaison to the Project Management Office (PMO) in support of the Strategic Initiative business planning process. Consulted with project business owners to provide accurate and timely delivery of Cost Benefit Analyses.
- Assisted Director of Research on economic impact analyses and research projects by creating and organizing datasets, performing analysis, and providing written and verbal presentations.
- Constructed project proposals, performed subsequent economic impact analysis, and presented results for consulting projects.
- Utilized Stata and R to analyze survey and cross-sectional research data and estimate models using different econometric techniques (KNN, Linear & Logistic Regression).
- Created a novel database of US utility patents to study knowledge diffusion within a mix of industrial sectors.