Sebastian Minaya

Sebastian Minaya

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Making Customers Successful at getdot.ai | MsBA Candidate | Data Analytics Tutor
Lima, Callao Region, Peru
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Résumé

Jobs verified_user 0% verified
  • Rooftop.dev
    Analytics Manager
    Rooftop.dev
    Feb 2026 - Current (9 months)
    Leading end-to-end analytics and financial reporting for a Fortune 500 beverage account across 6+ brands and 5+ LATAM markets, managing a team of 3 analysts and 1 designer. - Built a financial model and OKR tracking framework for a tiered rewards program, directly informing commercial strategy across LATAM markets - Diagnosed a structural gap between campaign inventory and acquisition targets, reshaping execution strategy and budget allocation - Own reporting alongside GA4/UTM attribution and Meta/Google Ads performance tracking across markets
  • TripleTen
    Data Science & Analytics Tutor
    TripleTen
    Jan 2026 - Jun 2026 (6 months)
    Teach Data Analytics and Data Science bootcamps to career-transition professionals across multiple cohorts, covering SQL, Python, and business analytics fundamentals.
  • TripleTen
    Data Analytics Tutor
    TripleTen
    Oct 2025 - Dec 2025 (3 months)
    Teach Data Analytics bootcamps to career-transition professionals across multiple cohorts, covering SQL, Python, and business analytics fundamentals.
  • G
    AI & Analytics Customer Success Manager
    GetDot
    Jun 2025 - Jan 2026 (8 months)
    Managed 25+ enterprise accounts for an AI-powered analytics SaaS platform, driving adoption and expansion through consultative, data-driven engagement. - Translated client data model gaps into shipped product features, bridging commercial and technical teams - Advised enterprise clients on how to structure and act on their analytics investment for measurable business impact
  • Yape
    Analytics Translator
    Yape
    Mar 2025 - Jun 2025 (4 months)
    Led product and event analytics for a high-growth fintech SaaS platform, partnering with ML engineers and cross-functional teams on revenue-impacting initiatives. - Collaborated with ML engineers to launch a communication-timing predictive model that increased payment conversions - Built a recommendation system that expanded services adopted per user
  • Alegra
    Product Analytics Lead
    Alegra
    Apr 2024 - Mar 2025 (1 year)
    Led product and event analytics for a high-growth fintech SaaS platform, partnering with ML engineers and cross-functional teams on revenue-impacting initiatives. - Rebuilt event analytics infrastructure (GTM → Segment → Amplitude), recovering silently lost events and improving reporting accuracy by 20% - Established event taxonomy standards across product teams and supported company-level OKR tracking for SaaS metrics
  • Procter & Gamble
    Category Growth Analytics Manager
    Procter & Gamble
    Nov 2023 - Apr 2024 (6 months)
    Delivered pricing and promotional analytics for brand category leaders across multiple product lines in modern trade. - Translated complex pricing data into strategic tier recommendations adopted by category management - Built Power BI reporting used directly in commercial decision-making across brand categories
  • Passport
    Data Analyst
    Passport
    Apr 2023 - Nov 2023 (8 months)
    Automated UK/EU financial reporting (duties & taxes) end-to-end via Python/SQL pipelines on Snowflake. - Modeled financial and operational data with dbt to support finance and operations reporting - Built operational dashboards in Knowi and Tableau, replacing manual reporting processes with automated pipelines
  • Tottus
    Growth Business Analyst
    Tottus
    Oct 2022 - Mar 2023 (6 months)
    Owned churn, retention, and marketing-campaign impact analysis for a retail app, using product sales and user activity data in BigQuery. - Built cohort analyses and tracked LTV and CAC to quantify how campaigns and product mix shaped user retention - Translated campaign performance data into recommendations that directly informed marketing budget allocation
  • JOKR
    Global Pricing Data Analyst
    JOKR
    Jan 2022 - Sep 2022 (9 months)
    Owned global pricing analytics and competitive intelligence for a cross-border quick-commerce operation. - Ran delivery-fee pricing experiments (flat vs. conditional) across multiple cities and countries, optimizing basket size and unit economics - Built competitor data pipelines in Snowflake and BigQuery, transforming JSON/PDF sources into standardized tables consumed by global pricing leaders
  • Marki Peru
    Data Manager
    Marki Peru
    Aug 2021 - Jan 2022 (6 months)
  • JOKR
    Product Operations Analyst
    JOKR
    Jun 2021 - Dec 2021 (7 months)
    - Built a shift-assignment system for the delivery-rider fleet, supporting workforce planning and cost management - Developed eNPS analysis from employee survey data to support People leadership
Education verified_user 0% verified
  • Product School
    Product Analytics
    Product School
    Jan 2021
  • Digital House
    Data Analytics
    Digital House
    Jan 2020 - Jan 2021 (1 year 1 month)
  • Universidad de Lima
    bachelor, Bachelor of Engineering - BE Industrial Engineering
    Universidad de Lima
    Jan 2016 - Jan 2021 (5 years 1 month)
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