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Shota K.SK

Shota K.

Senior Growth / Marketing Data Scientist | Analyst

€ 480/dag
Utrecht, NL
8-15 jaar

Gemiddelde responstijd: 1 uur

Over Shota

Transformation Strategist | Specialist in Data-Driven Growth, End-to-End Operating Models & Advanced Analytics

Summary:

I help company leaders turn messy data into clear growth wins and bottom-line impact.
With a foot in both brick-and-mortar operations and high-velocity payments, I bring the rare mix of board-level strategy and hands-on analytics needed to scale revenue while safeguarding margin.

Why work with me

  • ROI-first mindset: Every roadmap, experiment, or dashboard I deliver is ranked by payback period and value—so you know exactly where to invest first.
  • Full-funnel visibility: I trace the entire customer journey—from ad click and KYC to repeat purchase—and surface the precise levers that move conversion, retention, and LTV.

  • Engels

    Vloeiend

  • Japans

    Tweetalig / moedertaal

Kan op locatie werken
Utrecht (tot 50km)

Werkervaring

  • Anco
    Software Engineer
    mei 2023 - Vandaag (3 jaren en 1 maand)
    Utrecht, Netherlands
    Independently conceptualized, developed, and launched multiple applications.
    Specialized in leveraging React Native for intuitive, high-performance mobile applications.
  • Seiyu
    Strategic Retail Consultant
    januari 2021 - april 2021 (3 maanden)
    Tokyo, Japan

    About Seiyu Corporation

    Seiyu Corporation is one of Japan’s largest supermarket & general‑merchandise chains (≈330 stores nationwide), formerly majority‑owned by Walmart and now backed by KKR & Rakuten.

    Key Accomplishment

    • Formulated a holistic Future Retail Vision covering store formats, back‑office digitisation, supply chain, and last‑mile delivery.
    • Ran a full current‑state diagnostic across processes, data flows, and technology stack to surface capability gaps and quick wins.
    • Produced a phased implementation roadmap sequencing 25+ initiatives by lead time, cost, and projected ROI, enabling leadership to prioritise investment over 5 years.

    IT Strategy Business development
  • PayPay Corporation
    Marketing & Data Analyst, Business Development Analyst
    januari 2020 - april 2023 (3 jaren en 3 maanden)
    Tokyo, Japan

    About PayPay Corporation — quick facts for international readers

    Japan’s largest QR-code mobile-payment platform, PayPay launched in 2018 and is now used by roughly 69 million people—about one in every two smartphone users in Japan. In FY 2024 it processed ¥ 12.5 trillion (≈ US $78 bn) in GMV and commands the biggest share (≈ 64 %) of Japan’s QR / bar-code payments market. The company is backed by SoftBank and Yahoo Japan (LY Corporation).

    Key Accomplishments

    • Mapped the entire acquisition funnel (ad → install → KYC → first purchase) in BigQuery and Looker, uncovered a critical KYC drop-off, and ran A/B tests that lifted completion rates.
    • Clustered millions of users with unsupervised ML (K-means, silhouette scoring) to surface actionable segments; personalised promo flows improved early-stage retention.
    • Performed sensitivity analysis on the annual marketing budget, quantified marginal ROI curves by channel, and reallocated spend to cut customer-acquisition cost while preserving LTV.
    • Modelled corporate-cost elasticity versus GMV across CAPEX, cloud fees, and cashback programmes, feeding results into the FY2025 OpEx plan and sharpening margin forecasts.
    • Built an executive dashboard in Looker with live funnel KPIs, cohort LTV, and cost-sensitivity sliders, giving the CEO and VPs a real-time view and eliminating manual slide prep.
    • Presented a marginal-ROI channel-mix framework to the VP Marketing and CFO, guiding strategic allocation of multi-billion-yen marketing budgets.
    • Developed a 12-month customer-LTV model with gradient boosting on transaction-level data, increasing forecast accuracy and establishing a data-driven break-even CAC threshold.
    • Created cohort-based LTV dashboards that align acquisition spend with lifetime margin, shrinking payback periods for new users.
    • Combined funnel drop-off analysis with LTV segmentation to identify a high-value yet underserved cohort and launched targeted CRM pushes that boosted mid-term ARPU.
    Business analysis Python BigQuery IT Strategy Market analysis

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Opleidingen

  • Bachelor's degree
    法政大学
    2013
    Bachelor's degree

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