Jay Rosenthal Email & Phone Number

California, United States

San Francisco, California, US

San Francisco, CA, US

• Built the data and analytics infrastructure, team, and processes from 0 to 6.LEADERSHIP
• STRATEGY: Devised the strategy & roadmap for internal reporting & analytics. Approachprovides self-service and full-service support to every function in the business, includingthe executive team, product, sales.
• TEAM BUILDING & MANAGEMENT: Built remote data team from 0 to 6 in 10 months.Designed a centralized data team of engineers and analysts. Analysts are partiallyembedded with business domains to ensure projects drive.
• Business & Product Analytics: Provided analytics in areas such as ARR reporting andforecasting, sales efficiency, sales performance, multi-touch marketing attribution,marketing and product conversion funnels.
• KEY METRIC ALIGNMENT: Led the company to align on the quarterly key result (KR) metricsto track across GTM, EPD, and G&A. Drove quarterly process to set and track howinitiatives impacted the KRs.DATA ENGINEERING
• DATA ARCHITECTURE: Architected and implemented a cloud-based modern datainfrastructure including logging (Avo, Segment), ETL (Airflow), Reverse ETL (Census),transformation and data modeling (dbt), data warehouse.

• ML data features, experimentation, product analytics.
• MACHINE LEARNING (ML) OPS: Built datasets, feature monitoring, and model monitoringfor ML product features such as smarter notifications in the Messenger app.
• PRODUCT ANALYTICS: Analyzed user relationships in messaging and identifiedopportunities to increase daily active users and conversations per daily active user.
• EXPERIMENTATION: Managed the experimentation platform for A/B tests and designmetrics to measure complex network re

San Francisco, California, US

• Built data team of analysts, data scientists, and data product managers from 0 to 7. Responsible for all areas of internal and external reporting and analytics along with customer facing data produts
• STRATEGY: Devised the strategy & roadmap for internal analytics, customer reporting, and data products. Approach provides self-service and full-service support to every function in the business, including product.
• TEAM BUILDING: Grew data team from 0 to 7 in 16 months. Team covers the entire data stack and includes engineers, analysts, scientists and product managers. Developed role definitions, team processes, hired.
• ML PRODUCT MANAGEMENT: Product managed customer-facing machine learning feature to predict product delivery time. Guided project through customer research, proof-of-concept, feature engineering, model selection, and.
• DATA SECURITY: Developed role and permission models for access to business data, personally identifiable data, and proprietary datasets.

San Francisco, California, US

• DATA ARCHITECTURE: Architected and implemented a cloud data infrastructure including ETL tools (Alooma, Segment, Airflow, Astronomer), data warehouse (Redshift, Snowflake), and business intelligence (Tableau).
• CUSTOMER REPORTING API: Built real-time customer reporting API using Snowflake data sharing for largest channel partners, resulting in improved co-marketing efficiency.
• OPEN SOURCE: Built and open-sourced the Python managealooma package (managealooma.readthedocs.io/en/latest/), including utilities for programmatic management of the Alooma ETL tool and general dictionary manipulation.

San Francisco, CA, US

• CLOUD MIGRATION: Migrated business intelligence solution used for both internal reporting and external customer reporting from hosted solution to cloud vendor, resulting in cost reduction of $145K per year.
• DATA GOVERNANCE: Documented data models, data definitions, and business KPIs to ensure consistent definitions, calculations, and usage across the organization.

San Francisco, CA, US

• DATA ENGINEERING: Build data models and write ETLs in Python to develop data warehouses in PostgreSQL and Google BigQuery for business analytics.
• ANALYTICS: Providing analytics to the entire organization in areas of product, marketing, finance, and operations.
• DATA PRODUCT MANAGEMENT: Creating documentation and data models for existing data sources and setting the roadmap for new data to capture in the future.
• PRODUCT ANALYTICS: Analyze use of product features to segment customers by usage pattern and develop predictive models for how product trial leads to conversion of paying customers.

• TEAM MANAGEMENT: Hired, trained, and managed junior business analyst in Hive, MySQL, Tableau and internal data apps. Managed data science intern in machine learning analysis. Management enabled broad support of all.
• ETL CREATION: Defined data model, schema, and framework for ETLs to move data from Google Analytics into Amazon Redshift using Java and AWS Data Pipeline. Managed data engineer in building, testing, and deploying code.
• PRODUCT MANAGEMENT: Conceptualized automatic 404 error resolution tool that uses the Python fuzzywuzzy string match package to identify the proper redirect URL and automates data flows from Google Webmaster Tools and.
• LEADERSHIP: Created ‘hub-and-spoke’ analytics model that consists of data experts, key business area uses, and novices. Developed and deployed training in MySQL and Tableau for the professional development of 24 people.

• DATA MODEL DEVELOPMENT: Strategically drove data engineering priorities by creating a logical data model for publishing business to unite metadata from our publishing platform with 3rd party web analytics and social.
• INFRASTRUCTURE MANAGEMENT: Managed Tableau deployment of over 70 reports, 25 data sources, and 30 user licenses and internal hive data warehouse with over 400 data sources to maximizing the use of data by both data.

• DASHBOARD DEVELOPMENT: Built key performance metric dashboard for C-Level management with COO as lead customer. Dashboard gives management daily pulse and trends of the business in 4 key areas.
• ANALYTICS FRAMEWORK: Developed analytics framework for the sales organization, refined the logical data model for the sales data, facilitated the collection of data and ETL into the data warehouse, and built dashboards.
• REPORTING INFRASTRUCTURE: Created revenue forecasting data source in data warehouse categorizing revenue buckets such as “Expected” and “At-Risk.” Resulting reports enable efficiency improvements, such as aiding.
• GLOBAL COLLABORATION: Developed and supported a revenue dashboard and an accompanying training program for global sales force of over 60 reps and over 15 managers across 3 continents. Dashboard enables reps to.
• DATA INSIGHT: Mined data from a variety of sources including Salesforce, Google Analytics, Ad Servers, App logs and Internal App Databases to answer questions regarding the best way to discount the sales pipeline, the.

Washington, District Of Columbia, US

• PRICING STRATEGY: Modeled the effects of 6 pricing changes and analyzed the financial and mission implications. Presented findings to senior management, enabling leadership to evaluate pricing changes that yield up to.
• DASHBOARD DEVELOPMENT: Designed key performance metrics and data visualization for business unit and executive dashboards and built dashboard using MySQL, Excel and ODBC connector, giving managers to real-time access.
• ACTIVITY-BASED COSTING ANALYSIS: Analyzed the profitability of product offerings and business unit performance that allows managers to effectively allocate resources and evaluate ROI of investments.
• DATA ANALYTICS: Mine data from Google Analytics, Argyle Social, and MySQL to perform analysis using programs such as Tableau to conduct lifetime value analysis and cohort analysis. Share findings in regular.

Richmond, Virginia, US

• DEAL SOURCING AND DILIGENCE: Sourced and evaluated the product, market, and financials of 110 early stage companies as candidates for $1-5 million in capital, resulting in 1 company receiving a term sheet for a $1.5.
• STRATEGIC ADVISORY: Advised Slovenian entrepreneur on strategic ramifications of choosing between advertising supported or hardware and software sales supported business models for a tablet PC platform for the.
• PROCESS DESIGN: Refined deal flow management process, created manual, and customized and implemented deal flow management software, enabling effective management of over 50 monthly investment opportunities.
• MODELING: Modeled returns in the traditional venture capital “2 and 20” model and the Blue Heron Capital “super angel” model, enabling partners to prove to investors that Blue Heron Capital is a better investment.

• MEDIA AND SALES CAMPAIGN: Created and executed media management, marketing and direct sales campaign for concert that resulted in print press coverage from 3 local newspapers and a sold-out 290-seat theater.
• PROJECT MANAGEMENT: Led recording project from creative conception through management of 5 musicians and recording engineer during 7 days in a recording studio resulting in on-schedule and on-budget demo CD.
• LEGAL: Wrote business plans, contracts, and LLP agreements for performing groups and secured synchronization licenses.

Master Of Business Administration

Coursework In Calculus And Linear Algebra

B.M. And B.A., Music And English