Marcus Stone Email & Phone Number

New York, NY, US

• Lead a small team of data analysts to support Disney+, Star+, and ESPN+ Lifecycle Marketing & Experimentation initiatives in order to increase subscriber engagement, reduce churn, and improve subscriber retention
• Implemented statistical methods in Python to analyze and measure the impact of marketing campaigns on user engagement, acquisition, and retention
• Designed and built data pipelines to extract, transform, and load large volumes of data from various sources using Python and SQL
• Led multiple successful experiments that resulted in improvements in subscriber engagement, acquisition, and retention, which drove decisions in the marketing and messaging strategy
• Developed and maintained automated data workflows to ensure accuracy, completeness, and timeliness of data for reporting and analysis
• Communicated insights and recommendations to stakeholders and senior management through statistical impact analysis and measurement, automated dashboards and reports, and presentations

New York, NY, US

New York, NY, US

• Developed automated ETL pipelines and solutions utilizing AWS, APIs, Python and Airflow to load product consumption data from various digital and mobile analytics tools (Adobe Analytics, Conviva, Airship, Kochava.
• Partnered with various product and business units to define core KPIs and establish reporting structure and cadence across multiple products focusing on user acquisition, user attribution, user consumption, retention.
• Provided expertise in our analytics capabilities and bridged the gap between business objectives and technical implementation teams to develop our mobile tagging strategy needed to enhance analytical insights as well.
• Collaborated and built trusted partnerships with Senior Leadership, Business Leads, Product Owners, Web & Mobile Developers in order to set priorities and direction for the overall product analytics roadmap and.
• Developed, enhanced and maintained automated Python jobs, SQL scripts, Airflow DAGs for semantic layer views and tables from various sources of structured and unstructured data in Snowflake allowing for an optimal and.
• Designed and built interactive dashboards and automated executive level report for multiple brands in Looker

Richmond, Virginia, US

• Summary: Worked on an in-house health insurance claim validation software application for a Fortune 500 company spanning across two scrum teams. I owned roles in both teams as a data engineer and product owner. I.
• Developed data pipelines utilizing Python, SQL, Spark, API’s and Airflow DAGs to ingest data from various data warehouses (Teradata, Oracle, SQL Server) into big data platforms (HDFS/Hive/HBase) and systems of record.
• Designed foundational data models needed for our claims validation system by joining complex data sets from various subject areas (Medical Claims, Pharmacy Claims, Provider information and Membership information) to.
• Designed and developed a BI solution in Tableau leveraging data from big data platforms to create efficient real- time reporting dashboards to display business defined KPIs from the claim validation system.
• Ensured standards and best practices were followed for all ETL and data modeling changes in the enterprise data warehouse and the data model built for the analytics and reporting solution
• Drove ongoing product enhancements and optimizations to algorithms by identifying analytics insights from data generated by the claim validation system resulting in more revenue generation and cost savings

Charlotte, NC, US

Summary: Primarily responsible for the development, calibration and validation of risk rating models for probability of default, loss given default, and exposure at default within the Wholesale Division of Credit Risk Management.-Implemented SAS and C# models defined by the statistical quantitative team utilizing data from SQL server and Hadoop-Built.

Jacksonville, FL, US

Summary: Business Analyst for multiple IT projects within the Capital Markets and Mortgage Lending departments; primarily focused on two major initiatives including a mortgage portfolio securitization application and an upgrade project to a loan origination system. -Led system integration analysis, requirement analysis, design, testing, support and.

New York, New York, US

Summary: Technology associate within Citi’s technology leadership development program. Focused primarily on project management, requirements gathering, and executive level reporting.-Worked closely with the Executive Management and business users to gather, analyze and create the Business Requirements documents and functional requirements to be provided to.

Masters, Information Systems

Bachelor Of Science, Finance

Nanodegree, Data Engineering