ŁK.Łukasz Kucierski

OPERATIONS MINDSET. ANALYTICAL APPROACH.

Making data
work for
better decisions.

Łukasz Kucierski

Operations · Data Analytics · Process Improvement

I connect what happens in a business with what the data is telling us — turning operational questions into clear insights and practical improvements.

Explore my workLet's connect
Business understanding. Analytical thinking.Scroll to discover ↓

01THE PERSPECTIVE

I start with the operation.
Then ask better questions.

My background is in the places where plans meet reality: fleet coordination, procurement support and shipment operations. Working across Kaizen Rent, Mars and Amazon taught me to look beyond a dashboard and understand the process behind the numbers.

Today, as a Logistics Coordinator at PSK, I’m building on that experience with analytics and automation. My focus is on clearer reporting, better data quality and tools that help people make informed decisions — in logistics and beyond.

Master’s & Engineering degrees

Logistics & Supply Chain Management · WSB Merito · 2017–2022

01

Understand the process

Start with how work actually gets done, where friction appears and what a useful answer would change.

02

Make the data useful

Check the quality, choose meaningful measures and turn analysis into something people can act on.

03

Improve, then repeat

Look for practical ways to simplify reporting, standardise work and reduce manual effort.

02SELECTED WORK

Business problems.
Practical approaches.

A selection of analytical and process work.
Shared at a level that respects confidentiality.

01 / BUSINESS INTELLIGENCE / PROCESS ANALYTICS

A clearer view of operations.

Connecting KPI definitions, exception logic and reporting requirements to help teams see where an operation needs attention.

  • Power BI
  • SQL
  • Microsoft Fabric
  • KPI design

02 / ANALYTICS PROTOTYPE

From exceptions to insight.

A rule-based prototype exploring how shipment exceptions can be detected, grouped and understood through operational data.

  • Python
  • Power BI
  • Pareto analysis

03 / PROCESS DESIGN

Making complex processes clear.

A structured P2P process manual, translating workflows and controls into practical instructions for an internal audit team.

  • Process mapping
  • P2P
  • Standardisation
More questions to explore. More work to share.

03THE JOURNEY

Built on
real operations.

A foundation in business.
A growing focus on data.

  1. Jan 2026 – PresentWarsaw, Poland

    PSKCURRENT

    Logistics Coordinator / Control Tower & Data Analytics

    Building Power BI reporting on Fabric data, defining KPI and validation logic, and investigating inconsistencies with SQL and PySpark. Supporting UAT and coordinating business, data and technology stakeholders.

  2. Sep 2024 – Dec 2025Germany

    Amazon

    Problem Solve & ShipData Specialist

    Investigated shipment exceptions, analysed operational trends and root causes, and worked with operations teams on reporting and process standardisation.

  3. Jul 2022 – Jun 2024Poland

    Mars

    Logistics & Procurement Support Specialist

    Worked with SAP procurement data, requisitions, purchase orders and contracts. Prepared KPI reports and supported P2P reviews and audit readiness.

  4. Feb 2020 – Jun 2022Poland

    Kaizen Rent

    Car Rental & Operations Specialist

    Coordinated fleet availability and transport, mapped handover workflows and worked across logistics, customer service and finance.

04THE TOOLKIT

The right tools.
A practical mindset.

Tools support the work.
Understanding the problem comes first.

Applied in practice

Used in operational work, reporting or prototypes.

  • Excel

    Advanced analysis & reporting

  • Power BI

    Dashboards, DAX & KPI reporting

  • SQL

    Joins, aggregation & data validation

  • Microsoft Fabric

    Lakehouse data, notebooks & exploration

  • PySpark / Python

    Transformations & analytical prototypes

  • SAP

    Procure-to-pay operations

  • Process analysis

    Mapping, root causes & standardisation

  • Improvement methods

    DMAIC, Pareto & FMEA

Continuing to develop

Building depth through learning and hands-on exploration.

  • Python engineering

    Deepening programming fundamentals & maintainable scripts

  • Analytics automation

    Expanding repeatable reporting workflows

  • AI-assisted analysis

    Exploring tools with human validation

The aim is simple:
better questions,
clearer answers.

05LET’S CONNECT

Good questions deserve
useful answers.

Interested in data analytics, process improvement or a business problem worth exploring? Let’s talk.

Start a conversation

FIND ME HERE

kucierskilukasz@gmail.com

Polish · native / English · C1 / German · A2

BUSINESS INTELLIGENCE / PROCESS ANALYTICS

Professional contribution · anonymised overview

A clearer view of operations.

The question

How can an operations team spot service deterioration, growing backlog and data inconsistencies before they become harder to manage?

My contribution

Designed KPI and exception logic, translated operational needs into analytical requirements, and built reporting views using Power BI and Fabric data. Used SQL and PySpark to investigate inconsistencies and validate hypotheses with technical stakeholders.

The approach

Start with clear definitions, check the underlying data, then make process status, aging and exceptions understandable in reporting. Support changes with UAT scenarios and production validation.

What is shown here

An anonymised account of my contribution. The interface illustration is newly created for this portfolio and contains no real records or performance metrics. Internal architecture, rules, datasets and commercial details are not disclosed.

Discuss this approach
ANALYTICS PROTOTYPE

Prototype · simulated shipment flows

From exceptions to insight.

The question

How can exception data help an operations team understand what needs attention and why?

My approach

Simulate shipment flows in Python, apply explicit rules to flag anomalies, and calculate time and cost impact. Use Power BI to explore KPIs, categories and Pareto patterns.

The output

A prototype combining rule-based detection with a dashboard for exploring exception drivers. The visual on this page is a conceptual illustration, not a screenshot of a company system.

Scope & boundaries

This is a prototype described in my CV. It is not a production AI platform, and no employer data, commercial figures or unverified savings are presented here.

Discuss this approach
PROCESS DESIGN

Completed contribution · 2023

Making complex processes clear.

The question

How can teams navigate procurement workflows and apply consistent controls across regions?

My contribution

Created a process manual mapping P2P workflows and standardised controls. Documented step-by-step instructions for the internal audit team.

The output

A structured reference for following the process and its control points. This public summary describes the approach; internal documents and operational details remain private.

Discuss this approach