ABOUT MORGAN COWEE
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My Background
I have over 8 years of experience with data analytics and integration. I consult, architect, develop, and manage analytics projects for business customers. Proficient in analytics tools such as SQL, Tableau, Spotfire, Microsoft Power BI, Airflow, Informatica, Teradata, AWS and more. Experience in data science which includes machine learning techniques with R, Python, and KNIME Analytics Platform.
Along with my technical experience, I have experience with managing roadmaps, application support, project services, leading small teams, and working with customers on strategy and to provide services.
CASE STUDY
Check back soon for a new example of my work.
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PROJECTS
Below are a few high-level examples of projects I have worked in the past.
COMMERCIAL MIDSTREAM ANALYTICS
I lead the global midstream analytics effort for Commercial. This consisted of comparing hauler load/offload information for truck, railcars, etc. with live meter data from tanks. The goal of the analysis was to evaluate measurement processes to improve production reporting and sales. I utilized Python, Informatica, SQL, Teradata, and Microsoft PowerBi for this effort. I was responsible for architecture, development, project planning, and managing team members.
CONTRA REVENUE ANALYSIS
Developed the reporting tools to track all contra revenue activities to provide business insights on coupon programs and potential fraud. I utilized SQL and Tableau to present the data to end users.
MACHINE LEARNING SOLUTIONS
I was the lead data engineer for an advanced analytics solution for optimizing the allocation of steam for steam assisted gravity drainage (SAGD) operations. I utilized KNIME Analytics Platform, Python, SQL, Informatica, and Teradata to integrate the data and productionize the data scientists models for use in the field. I also utilized Spotfire to assist with experiment and model review.
SOLUTION INTEGRATION
I lead the design and implementation of a transactional ledger for asset depreciation. The goal of this project was to better integrate product signals to track and depreciate on our assets. I utilized SQL, Tableau, Airflow, and project management capabilities to architect, develop, implement, project manage, and manage team members.
CLOUD SOLUTION FOR IT
For this project, I utilized Microsoft Azure to design and implement a full analytics program for the IT Infrastructure, Architecture, and Operations team. I utilized Data Factory, Power BI, Azure ML, and more to integrate, store, and analyze data such as networking, hardware, and ServiceNow.
ABOUT ME
I have an instinctive curiosity mixed with the ability to grasp new concepts quickly. I love to learn and ask why. I am often put on projects where we are implementing something for the first time. This requires me to quickly become an expert in a new tool, a new data set, or a new business process.
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I am driven and strive to inspire others.
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I have a natural ability to break down complex problems. I feel energized by challenges. Complex problems allow me to exercise my organization skills as well as my problem solving abilities.
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I am a strategic thinker and detail oriented. I enjoy working with business customers on overall strategy. I think it is important to understand the team's vision to better implement current solutions.
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I get things done.
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I have a passion for data. It is fascinating to me to think about all the problems we can solve with data. I often see companies, news topics, or events and immediately start brainstorming different use cases for data & analytics.
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PROFESSIONAL HISTORY
MANAGER, DATA
January 2023 - Current Role
Leading a team that provides insights for multiple business initiatives and ensures data quality, reliability and accuracy
Developed and managed the architecture roadmap for the data warehouse. This includes ETL integration, key company reporting and support.
Ensured the team executed on deliverables in a timely manner and managed the expectations with leadership.
Implemented process improvement and best practices to mature the company’s data landscape.
SR. DATA ANALYST
September 2021 - December 2022
Lead data analyst for all financial data pipelines and reporting
Subject matter expert for all financial reporting and analysis. Relied on to conduct analysis, identify trends, and provide recommendations to stakeholders utilizing all aspects of the analytics lifecycle.
Manage the planning, prioritization, resourcing and execution of the financial data roadmap.
Manage the architecture, development, and support of all ETL pipelines and key reporting associated with financial data. This includes data pipelines that support revenue, depreciation, and payments.
DATA ANALYST
December 2020 - September 2021
Lead data analyst for all financial data pipelines and reporting
Adopted all support, maintenance, development, and implementation of ETL pipelines and reporting associated with financial data.
Established a relationship with key stakeholders to better support initiatives regarding audits, closing processes, business metrics, and external reporting.
ANALYTICS ANALYST
December 2018 - December 2020
Lead data and analytics architect for Commercial, Finance, and IT Infrastructure and Operations
Architected and developed end to end solutions in areas such as data integration, reporting, and advanced analytics. Solutions include Microsoft Azure Data Factory, Informatica (ETL), Microsoft Auto ML, Spotfire, SQL, Microsoft Power BI, and Python.
Served as the strategic partner for each business group by providing consultations to identify new data and analytics solutions, training for stakeholders in self-service analytics tools, and strategic planning to grow the organizations data and analytics maturity.
Provided project management resources to lead the architecture, development and implementation of high value data and analytics solutions.
Managed project intake and resource allocation for a small team. This includes technical and career mentoring.
DATA SCIENCE ANALYST
December 2017 - December 2018
Data engineer for the Data Science team
Utilized R, Python, KNIME Analytics Platform, database systems, Spotfire and other necessary technologies to support the data scientists by integrating and manipulating data, deploying processes to production, and executing machine learning projects.
Lead the development and implementation of some of the company’s first production machine learning applications.
DATA & SPOTFIRE ANALYST
December 2016 - December 2017
Data and analytics developer for engineers, specializing in Spotfire
Assisted the business with making data driven decisions by developing data and analytics solutions.
Utilized Informatica to integrate data into the Teradata data warehouse and develop Spotfire reports for analysis.
Lead a small team by gathering requirements and worked with more than 5 different teams to develop custom reporting solutions.
GLOBAL WELLS SUPPORT ANALYST
May 2015 - December 2016
Application Support Analyst
Supported internally developed and vended applications for the global Drilling & Competitions organization. Responsibilities included 24-hour global customer support, license and server management, application upgrades, and troubleshooting.
Implemented continuous improvement efforts such as developing Spotfire reports for customers utilizing application data for analysis and for the application support management to better plan application and server upgrades.