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Maren Sato

Junior Data Analyst
Boston, MA

Professional Summary

Junior Data Analyst with ~3 years turning messy operational data into clear decisions for retail and consumer brands in Greater Boston. Comfortable owning SQL pipelines, dashboard builds, and stakeholder-ready insights from intake through handoff. Strong on Python, Looker/Tableau, and A/B test reads; known for clean documentation and questions that save rework.

Employment History

Junior Data Analyst
Harbor Analytics · Boston, MA
Aug, 2024 · Present
• Build and maintain SQL models and Looker dashboards tracking fulfillment SLA, return rates, and promo lift for 8+ mid-market retail clients. • Automated weekly KPI packs in Python (pandas + BigQuery), cutting analyst prep time ~6 hours/week and reducing manual copy errors. • Partnered with client ops leads to define metric dictionaries and alert thresholds; reduced ad-hoc Slack requests ~25% after rollout. • Designed and read A/B tests on email/SMS offers; flagged underpowered tests early and recommended sample-size gates. • Documented pipeline runbooks and peer-reviewed PRs for dbt-style transforms shared across a 5-person analytics pod.
Data Analyst Intern → Junior Analyst
Northbridge Retail Co. · Cambridge, MA
Jun, 2023 · Jul, 2024
• Supported merchandising and inventory analytics: stockout risk, sell-through by SKU class, and store cluster performance. • Built Tableau workbooks used in weekly merch meetings; standardized filters and date logic so regional managers trusted the numbers. • Wrote reusable SQL for cohort retention and first-order vs repeat revenue; briefed marketing on which cohorts drove Q4 lift. • Cleaned and joined POS, ecom, and returns extracts; cut weekly reconciliation cycle from 2 days to under 4 hours. • Presented monthly insight decks to cross-functional leads; translated statistical findings into plain-language actions.
Undergraduate Research Assistant
Boston University (Questrom / IS dept.) · Boston, MA
Sep, 2022 · May, 2023
• Assisted faculty research on consumer choice and digital shelf data; scraped and structured product attribute panels. • Ran exploratory analysis in R/Python; produced figures and appendix tables for working papers and conference posters. • Maintained shared code notebooks and data dictionaries for a 4-student research team.

Education

B.S. Business Administration, Concentration in Business Analytics
Boston University · Boston, MA
May, 2023
Relevant coursework: Applied Econometrics, Data Mining, Database Management, Marketing Analytics GPA: 3.6/4.0

Skills

SQL
Python
Tableau
Looker
Excel

Courses

Google Data Analytics Certificate · SQL for Data Science (Coursera)
Google · Coursera
Capstone: predicted store-level demand for seasonal SKUs using gradient boosting (MAPE improved ~12% vs naive baseline)