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Philipp LukasewyczPL

Philipp Lukasewycz

Analytics Consultant | Profit & Performance

€1,000/day
Köln, DE
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Philipp

For over six years, I have been helping companies create robust decision-making frameworks from data – focusing onCustomer Insights**, **Profitability**, and **KPI Management**. At the intersection of **Analytics**, **Business Intelligence**, and **Finance**, I develop analysis and control models that create transparency and concretely support decisions, such as: Profitability and cost models (P&L), Margin/Performance analyses in e-commerce, Customer Segmentation & Churn analyses, and Management reporting and control logics for specialist departments. I work closely with stakeholders in **Marketing, Finance, Operations**, and **Category Management– from defining the question to data modeling/reporting, and enablement handover to teams. Approach: pragmatic, structured, implementation-oriented. My goal isactionable insightsfor steering, prioritization, and investment decisions. Remote-first, with clear communication and reliable execution.
  • German

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Smartemis Deutschland GmbH
    Data & BI Analyst
    MEDICAL
    April 2025 - Today (1 year and 4 months)
    Business Intelligence & Finance Analytics

    Development of a business intelligence solution for data-driven management of Finance, Operations, and Management. Direct support of the CFO with ad-hoc analyses, P&L analyses, budgeting, and data-driven decision-making frameworks for management and investors.

    Selected Project

    Development of a BI platform for Finance, Operations, and external stakeholders

    As BI Analyst & Controller at Smartemis, I was conceptually responsible for building the business intelligence landscape in collaboration with an external BI consultancy.

    The goal was to create a BI solution that met both internal control requirements and the analytical needs of external practice owners. To achieve this, I developed a BI concept along key functional areas such as Operations, Finance, and HR. The individual analysis areas are based on independent data models but are logically linked, allowing for both specific analyses and cross-functional comparisons.

    I served as the central interface between internal departments, practice owners, and the technical implementation by the BI consultancy, and also supported the implementation of reporting solutions in Qlik Sense as needed.

    The resulting BI solution created a consistent data basis for management, finance, and external stakeholders for the first time and enabled transparent analysis of economic KPIs as well as sound operational and financial control.
    Business Intelligence Controlling & KPI Systems Python Data Analysis Microsoft Excel
  • INU – Innovative University of Applied Sciences
    Freelance Lecturer
    March 2024 - Today (2 years and 5 months)
    • Independent conception & execution of
    lecture series
    • (i) Digital Marketing & Business Modeling
    • (ii) Business Intelligence & Data Science Management
    Digital Marketing Data Science Data Analysis Business Plan Python
  • Fressnapf Holding SE
    Data Analyst (Customer Insights)
    RETAIL (LARGE RETAILERS)
    January 2023 - March 2025 (2 years and 2 months)
    Customer Analytics | Marketing & Customer Insights

    Data Analyst with a focus on Customer Analytics, Marketing Intelligence, and data-driven decision support for management and specialist departments. Experience in customer segmentation, churn analysis, and ad-hoc analyses for Marketing and C-level.

    Selected Projects

    Customer Segmentation & Marketing Enablement

    Conception and implementation of a structured segmentation model for data-driven management of marketing activities. Customers were segmented along clearly defined lifecycle phases (e.g., first-time buyers, active customers, inactive customers, churn). Additionally, reporting was set up for continuous monitoring of segment development.

    The model created a consistent basis for marketing management and enabled targeted prioritization and deployment of communication measures based on the actual customer status.

    Test & Control Analyses for Strategic Store Concepts

    Analysis of the impact of newly designed proof-of-concept stores with a focus on the target group of new pet owners. Development of a test-control logic for evaluating store renovations compared to structurally similar control stores.

    The analyses enabled a well-founded assessment of the effects on purchasing behavior, sales development, and customer dynamics, and served as a basis for management decisions regarding further investment and roll-out plans.
    Customer Segmentation & Analysis Data Analysis SQL SAS Business Intelligence

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Education

  • Big Data & Business Analytics (MSc)
    FOM Düsseldorf
    2023
    Note: 1,2
  • Wirtschaftswissenschaften (MSc)
    Technische Universität Dortmund
    2017
    Note: 1,6 (ECTS A - Top 10%)

Skill set

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