Tae Kim

Senior Business Intelligence & Data Engineering Analyst

Experience

4 roles
2022→Now
Google (via BayOne) · Jul 2022 – Present

Senior Business Intelligence Analyst

  • Analyze campaign and content performance across YouTube, Sprinklr, and Bitly to identify trends and actionable insights.
  • Develop cross-platform analytical datasets using GoogleSQL (Plx) for reporting and modeling.
  • Automate data validation and anomaly detection to improve data quality and reporting accuracy.
  • Develop analytical datasets supporting AI-assisted sentiment and campaign insights.
  • Build reusable data layers that reduce ad-hoc reporting and improve analytics consistency.
  • Support executive quarterly and annual reviews through KPI analysis, dashboards, and insights.
GoogleSQLBigQueryLookerGCP
2015→2022
CBS Interactive & 1WorldSync · Jun 2015 – May 2022

Senior Business Intelligence Analyst

  • Engineered scalable data pipelines across Azure Data Lake, U-SQL, and Hadoop, processing 12M+ daily event logs for analytics across 1,200+ retail partners, including Target, Costco, and Walmart.
  • Designed modular dimensional data models and optimized warehouse schemas supporting 20+ self-service Power BI and Birst dashboards.
  • Tuned query performance and partitioned large-scale datasets to improve performance and reduce compute costs.
AzureHadoopPower BIETL/ELT
2014→2015
New York University · Oct 2014 – May 2015

Graduate Research Assistant

  • Analyzed 400M+ rows of MTA API and GIS data to identify trends in NYC traffic flow.
  • Built interactive data visualizations supporting transportation planning and policy analysis.
PythonGISData Viz
2012→2020
US Army Reserve · Apr 2012 – Apr 2020

Specialist

Eight years of service. Army Commendation Medal & National Defense Service Medal.

LeadershipDisciplineService

Selected Work

9 dashboards

Analytics dashboards built for Google's developer social programs — campaign performance, engagement analysis, and audience growth across YouTube, Instagram, X, LinkedIn, Threads, and Bluesky.

KPI command center dashboard
KPI command centerHeadline metrics — 815M video views, 255M impressions — with platform breakdowns.
Executive performance dashboard with filters
Executive performance dashboardFilterable views of organic video views, hours watched, and engagements by quarter.
Engagement efficiency scatter and stacked bar charts
Engagement efficiency analysisWeighted engagements vs. impressions by quarter and platform, with publishing cadence.
Impressions deep dive with bubble charts
Impressions deep dive336M quarterly impressions by platform, with bubble analysis of engagement efficiency.
Publishing cadence versus engagement charts
Publishing cadence vs. engagementQuarterly output mapped against weighted engagements across six platforms.
Viral post detection table and scatter plots
Viral post detection14-day impression and engagement outliers surfaced automatically across platforms.
YouTube analytics suite
YouTube analytics suiteTraffic sources, search terms, viewer geography, and per-video performance.
Account benchmarking scatter plots
Account benchmarkingEngagement efficiency compared across 30+ developer accounts and quarters.
Subscriber and follower growth charts
Audience growth trackingYouTube subscriber and cross-platform follower growth, month by month.

Skills

4 groups

Business & Data Analytics

Business Analysis · KPI & Metric Development · Performance Analysis · Trend Analysis · Ad Hoc Analysis · Data Validation · Anomaly Detection · Executive Reporting

Programming & Query

SQL · GoogleSQL · Python · U-SQL

BI & Visualization

Looker · Google Data Studio · Power BI · Tableau · Birst · Dashboard Development · Interactive Data Visualization

Cloud & Data

Google Cloud Platform (GCP) · BigQuery · Plx · Azure Data Lake · AWS · Hadoop · ETL/ELT · Dimensional Data Modeling

Education

3 degrees
MS
New York University · Jul 2015

Master of Science, Applied Urban Science and Informatics

Big Data · Data Mining for Business Analysis · Programming for Data Science · Applied Data Science · Real-Time and Big Data Analytics

MLA
Harvard University · May 2010

Master of Liberal Arts, Information Technology

Concentration: Information Management Systems

BA
University of Pittsburgh · Dec 2005

Bachelor of Arts

Related coursework: Computer Science

Honors

★ Army Commendation Medal ★ National Defense Service Medal ★ NYU Academic Fellowship — Merit Based