Lead - Business Analytics (Supply Chain)

3 weeks ago

Bengaluru, India KK Wind Solutions Full time
As the Lead for Business Analytics in the Supply Chain division, you will spearhead the utilization of data-driven insights to optimize supply chain processes, enhance operational efficiency, and drive strategic decision-making. You will be responsible developing advanced analytics models, collaborating with cross-functional teams, and implementing solutions to improve overall supply chain performance.

1.Data Management and Governance:

• Oversee the collection, processing, and management of supply chain data from various sources, ensuring data accuracy, integrity, and security.

• Define data governance policies, standards, and procedures to maintain high-quality data assets and ensure compliance with regulatory requirements.

2.Analytics Development and Implementation:

• Lead the development and deployment of advanced analytics models and algorithms to address supply chain challenges, improve resource allocation, and enhance decision-making.

3. Performance Monitoring and Reporting:

•Establish key performance indicators (KPIs) and performance metrics to measure the effectiveness and efficiency of supply chain processes.

Develop dashboards and reporting tools to monitor KPIs, track performance trends, and identify areas for improvement.

Provide regular performance reports and actionable insights to senior management and key stakeholders.

4.Cross-functional Collaboration

- Work collaboratively with IT teams to leverage technology infrastructure, data platforms, and analytics tools to support supply chain analytics initiatives.

Qualifications

Master level from Business or Engineering Schools.

5+ years' of experience in related industry.

Proven track record of success in leading supply chain analytics initiatives and delivering measurable business impact.

Strong understanding of supply chain processes, industry best practices, and emerging trends.

Experience with advanced analytics techniques such as machine learning, optimization, simulation, and predictive modeling.

Familiarity with supply chain management systems (e.g., ERP, WMS, TMS) and data integration tools.

Excellent interpersonal skills with the ability to communicate complex concepts effectively to diverse stakeholders.

Strong project management skills with the ability to prioritize tasks, manage timelines, and drive project execution.

Flexibility to adapt to changing priorities and business needs in a dynamic environment.

About KK Wind Solutions

KK Wind Solutions is a dedicated renewables company with more than 40 years of experience within electrical systems for wind turbines. Our solutions range from the development of state-of-the-art systems and lean manufacturing to distribution, installation and maintenance on site. Headquartered in Ikast, Denmark, we have approx. 1,800 employees at locations in Denmark, Poland, Germany, USA, Spain and China and a global service organization. KK Group is owned by A.P. Moller Holding which is the parent company of the A.P. Moller Group, which was established in 1904 by Arnold Peter M•ller.

We offer

As a frontrunner in the renewable energy industry, sustainability and innovation are part of our company DNA and strongly embedded in the way we operate our company.

No matter your role, you will find yourself immersed in our strategy. At KK, all employees are encouraged to contribute their ideas – we want everyone to feel involved and heard. Our flat hierarchies allow us to make swift decisions and exchange ideas in an open, honest atmosphere where we help each other succeed. What is more, you will be collaborating across several functions and you will experience a distinct team spirit as you work with international colleagues from all over the world.

Interested?

If this position sounds appealing to you, please send your resume as soon as possible. Interviews are held on an ongoing basis and we are looking at candidates who can join immediately or have short notice period. We look forward to hearing from you

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