Analytics Analyst

Are you ready to make it happen?

Together with analytics team leaders, you will support the business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute:

• Execute the business analytics agenda in conjunction with analytics team leaders.
• Work with best-in-class external partners who leverage analytics tools and processes.
• Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance.
• Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver.

What you will bring:

• A desire to drive your future and accelerate your career.
• Experience using data analysis to make recommendations to analytic leaders.
• Understanding of best-in-class analytics practices.
• Knowledge of indicators (KPIs) and scorecards.
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus.

More about this role:

The Analytics Manager will improve business results by giving tactical and strategic business solutions via applying analytical skills using analytical data modelling against various supply chain problems. He/She will be responsible for providing analytics and a certain degree of project management to various projects and regular network capacity reviews for various BUs. This role utilizes network modelling, data management tools, and visualization to drive sound, fact-based business decisions on the end-to-end supply network. This includes product sourcing, manufacturing footprint, capacity analysis, distribution network design, and cost-to-serve analysis.

Responsibilities:

• Identify data requirements, define best-fit data sources, and work with stakeholders on data validation.
• Model the network according to project charter and follow existing global modelling standards and tools.
• Model, assess (costs, service, inventory), and validate scenario outputs using optimization, visualization, and data management tools (e.g. Supply Chain Guru, Alteryx, Data Guru, Tableau, Power BI) and discuss them with relevant stakeholders.
• Maintain current knowledge of modelling and analysis techniques and work on continuous improvement through networking with internal stakeholders and external professional organizations, vendors, and support forums.
• Build trust and credibility with different stakeholders to achieve common organizational goals and targets.

What you need to know about this position:

• Work in close partnership with the business leadership team to execute the analytics agenda.
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance.
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver.
• Work with external partners to deliver strategic projects.

What extra ingredients you will bring:

• A desire to drive your future and accelerate your career.
• Experience using data analysis to make recommendations to analytic leaders.
• Understanding of best-in-class analytics practices.
• Knowledge of indicators (KPIs) and scorecards.
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus.

Education / Certifications:

• Bachelor's or Master's degree in a quantitative field such as Operations Research, Statistics, Applied Mathematics, Engineering, or Data Science.
• Minimum 3-6 years of experience in supply chain, strategy, and/or operations.

Job specific requirements:

• Overall experience in logistics, distribution, production/operations management, and/or supply chain management (FMCG preferred).
• Demonstrated experience in applying analytics to solve business problems.
• Strong experience in Supply Chain Guru / Optilogic / Lyric is a must.
• Proven experience in reporting and managing projects with cross-functional and global stakeholders.
• Strong hold in visualization tools (Tableau/Power BI) - Tableau preferred.
• Strong hold in data management and processing tools (Alteryx/R/Prep) - Alteryx preferred.
• Experience in statistical analytical tools and projects may be advantageous.