HOLLY HEBERT
Data Analyst
Summary
PhD-level data analyst who turns messy, multi-source data into decision-ready insight. 10+ years building KPI stacks, designing trustworthy experiments, and delivering executive-grade dashboards. Equal parts statistician and storyteller: rigorous with SQL/Python and causal methods, clear with stakeholders, fast with ambiguous asks. Comfortable owning the analytics layer end-to-end—from warehouse modeling and DBT transforms to BI rollout, documentation, and enablement.
Overview
12
12
years of professional experience
4
4
Certifications
Work History
Senior Data Analyst (Contract)
Outlier & confidential clients
01.2023 - 01.2025
- Built an executive KPI suite (revenue, CAC/LTV, retention, activation) on Looker; reduced time-to-insight by 65% and replaced 12 ad-hoc reports/month.
- Designed and analyzed 30+ A/B tests (guardrails + sequential bounds); shipped changes that lifted checkout conversion +6.8% and reduced refund rate –11%.
- Modeled a customer 360 in BigQuery/dbt (slowly changing dims, tests, docs) powering email personalization; +9.2% uplift in campaign CTR.
- Remote
Analytics Lead
TELUS International AI Data Solutions
01.2021 - 01.2023
- Owned the KPI stack for operations; standardized definitions, lineage, and SLAs; audit discrepancies down 38%.
- Forecasted weekly staffing with Prophet + SQL features (holidays, backlog, win-rates); cut over/under allocation by 26%.
- Rolled out Tableau enablement (office hours + playbooks); stakeholder satisfaction improved from 3.6→4.7/5 on quarterly survey.
- Remote
Business/Data Analyst
RWS / Lionbridge (Cloud & Search Programs)
01.2018 - 01.2021
- Built multilingual query analytics to surface intent gaps; unresolved intents down 14% after taxonomy updates.
- Optimized ETL SQL and partitioning, trimming pipeline runtime –30% and BigQuery costs –18%.
- Partnered with PMM to attribute growth campaigns; drove reallocation toward high-ROI channels (+$240k quarterly efficiency).
- Remote
Research Data Scientist (Ph.D.)
University Lab Projects
01.2013 - 01.2018
- Led time-series and panel-data projects; published internal white papers on power analysis and variance reduction techniques (CUPED).
- Taught applied statistics labs (GLMs, experimental design) and maintained reproducible analysis templates in Jupyter.
Education
Ph.D. - Data Science
M.S. - Statistics
B.S. - Chemistry
Skills
- Analytics & Stats: SQL (CTEs, window fxns), Python (pandas/numpy), experimental design & A/B testing, regression & GLMs, time-series forecasting, cohort & funnel analysis, churn/retention, segmentation & clustering, anomaly detection, causal inference (DID, CUPED), KPI design & monitoring
- BI & Storytelling: Metric layer design, dashboard wireframing, stakeholder interviews, requirements to acceptance criteria, data visualization best practices, accessibility & color-blind safe visuals, adoption playbooks & training
- Data Ops: Data modeling (star/snowflake), dbt, Airflow, ELT/ETL, data quality (Great Expectations), version control (Git), CI checks, documentation & runbooks
Certification
- Tableau Desktop Specialist
AWARDS & LEADERSHIP
Top Analyst (2024): Highest stakeholder NPS and audit accuracy, Mentor for junior analysts (SQL craftsmanship, visualization, experiment literacy)
PUBLICATIONS & TALKS (SELECTED)
- Hebert, H. “Designing Guardrails for Product Experiments” — Internal workshop (2024)
- Hebert, H. “From Ad-Hoc to Model-Driven Analytics” — Community lightning talk (2023)
Timeline
Senior Data Analyst (Contract)
Outlier & confidential clients
01.2023 - 01.2025
Analytics Lead
TELUS International AI Data Solutions
01.2021 - 01.2023
Business/Data Analyst
RWS / Lionbridge (Cloud & Search Programs)
01.2018 - 01.2021
Research Data Scientist (Ph.D.)
University Lab Projects
01.2013 - 01.2018