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Konecranes Spare Parts Riihimäki Finland

logistics
analysis

As a Senior Data Analyst specializing in Supply Chain Management, Jihwan plays a pivotal role in enhancing logistics and operational processes. He leverages his expertise in Power BI and Microsoft Fabric to transform complex data into actionable, strategic insights. His work is instrumental in advancing operational efficiency and crafting compelling business cases focused on optimization and cost savings within the supply chain.

Here is a concise summary of his impact:

  • Provides essential data, interactive reports, and analytical support through advanced semantic models to bolster supply chain processes.

  • Facilitates data-driven decision-making for process enhancements and high-impact logistics projects.

  • Develops business cases aimed at optimizing operational efficiency and reducing costs, such as warehouse and transport improvements, as well as supply chain network enhancements.

  • Continuously analyzes logistics operations in both in-house and 3PL organizations to identify areas for process improvement, creating corresponding business cases and action plans.

  • Collaborates with internal and external partners to streamline warehouse operations, enhance performance, and ensure efficient execution.

  • Contributes to the realization of strategic operational projects, encompassing areas like warehouse space utilization, transport optimization, and cost analysis.

As a Senior Data Analyst for Transport & Logistics, Jihwan's primary objective is to leverage advanced analytics to optimize transportation networks. He plays a pivotal role by analyzing complex data from Transport Management Systems (TMS) using Power BI and Microsoft Fabric, driving significant enhancements in operational efficiency and cost savings for both internal business units and external clients.

Jihwan provides comprehensive analytical support to the entire Supply Chain Management (SCM) process, delivering critical insights through interactive reports and leading data-centric projects.

Key Responsibilities Include:

  • Leading and supporting data-driven improvement projects within the transportation domain for internal and external partners.

  • Driving the optimization of transportation infrastructure and networks through advanced data modeling and analysis.

  • Effectively translating diverse logistics requirements from stakeholders and clients into analytical models that reveal opportunities for network optimization.

  • Developing and maintaining pertinent logistics datasets and Power BI models to support strategic decision-making.

  • Ensuring operational flows align with system capabilities through rigorous data validation and analysis.

  • Providing in-depth analytics and reporting, while proactively identifying and quantifying opportunities for transport cost improvement.

  • Collaborating with Procurement teams, 3PLs, and other business partners to support the successful implementation of network changes and developments with data-backed insights.

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transport
analysis

supply
chain
analysis

As a Senior Data Analyst specializing in Sales & Operations Planning (S&OP), Jihwan delivers advanced analytical solutions that connect sales data insights to supply chain and inventory optimization. He is instrumental in enhancing profitability and efficiency by architecting and developing enterprise-level Power BI solutions. These tools translate complex sales and operational data into clear, actionable strategies for both management and operational teams.

A core part of his role is acting as a crucial liaison between business and technology, effectively translating the needs of Logistics, Planning, and Operations to technical counterparts to ensure cohesive, data-driven solutions.

Key Responsibilities Include:

  • Leading data-driven supply chain optimization projects, with a primary focus on analyzing sales data to improve demand forecasting and inventory management.

  • Architecting data flows and performing deep-dive analysis on large-scale sales and supply chain datasets to uncover actionable insights.

  • Conducting thorough root-cause analysis on forecast inaccuracies and inventory imbalances to propose systemic, data-backed improvements.

  • Developing advanced simulations and interactive Power BI dashboards to model the impact of sales trends on the supply chain and to facilitate exception management.

  • Establishing robust methodologies and data governance for collecting and integrating sales and supply chain data for analysis.

  • Delivering clear, data-driven recommendations to leadership to enhance forecast accuracy, optimize inventory levels, and reduce operational costs.

  • Collaborating closely with cross-functional teams, including Sales, Logistics, and IT, to implement process changes and new analytical tools.

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