Sean Matthews Email & Phone Number

• Exploring and experimenting with new AI tooling, storage offerings, and simplified analytics architecture.• Studying for some new certifications. I'm pretty excited about Snowflake's current platform as well as AWS's new AI and s3 capabilities.• Founders, Directors, and Recruiters: Open to strategic engagements for enabling new capabilities for your company/client. Some examples include data capability expansion, application purchase evaluations, cloud platform development, cost optimization activities, application integrations, and growth analyses. Also, beyond data technical leadership roles, I am considering roles such as solutions engineering, data product management, and others where data tooling can help to enable revenue opportunities. • Industry Professionals: Let's have a virtual or in-person chat to discuss what's got you motivated or even demotivated.

San Francisco, California, Us

• Created analytics products providing insight into customer acquisition, product adoption, user engagement, retention, life cycle optimization, and financial trends.• Implemented a high maturity monitoring for data pipelines and testing for data models to exceed availability and quality SLAs. • Reduced Snowflake spend by 20% through strategic application of query, warehouse, materialization, and modeling optimizations.• Administered snowflake, dbt core, and looker project environments, including pull requests, package maintenance, and ci/cd jobs while ensuring proper data governance and security.• Created macros in dbt to support data transformation, user tasks, and maintenance. • Mentored junior team members and analysts on development best practices and new features through regular syncs, code reviews, and demos.• Authored key team processes, runbooks, and pilots. Led quarterly OKR planning, project planning, story grooming/pointing, standup, retro, and product evaluation sessions. Developed behavioral and technical hiring assessments.

New York, New York, Us

• Partnered with product, sales, marketing, finance, and leadership to define metrics and develop data models and dashboards to support aligned decisions.• Supported web/app product feature testing and GTM campaign analyses evaluating conversion, investment, and retention performance.• Defined gaps in business activities not represented in data estate and worked with stakeholder teams to prioritize strategies for capturing these.• Contributed to database migration from MSSS to AWS Redshift through the development of mappings, ETL/ELT scripts, and logical and physical data models.• Manage dbt Core, Redshift, and Tableau environments. Creating development standards and code review processes.

San Francisco, California, Us

• Contributed the development of new Apache Hadoop data lake, Hive warehouse, and Tableau BI assets to support the operations of the Capital Finance Division. • Led stakeholder engagement sessions, produced data map artifacts, designed data models, developed transformation scripts, and authored QA tests.• Developed analytical scripts, using SQL and python, to surface KPIs as well as dynamic dashboards to support proactive monitoring.

San Francisco, Ca, Us

Member of data and finance team partnering with business groups on strategic projects.• Collaborated with business teams to develop analytics and data science solutions providing timely, comprehensive, and interactive insights into operational activities.• Developed and advised marketing campaigns using Google Analytics to optimize Adwords selection, targeting, conversion, ranking, and spend.• Constructed and maintained multi-scenario, multi-year financial planning and forecast models to support operational planning and investment of ~$450M annually.• Co-led Tableau implementation and adoption for ten operational teams including the development of key data sources, dashboards, and training.

Master Of Business Administration (M.B.A.), Data Analysis And Marketing

Data Science

Bachelor Of Science (B.S.), Environmental Management