About our partner:
Our partner is a key player in the retail and consumer goods (CPG) market, operating a regional service centre in Central Europe that supports operations in Hungary, the Czech Republic and Slovakia. In addition, they have a modern technology hub where they develop software and applications used worldwide.
In this role, you will be accountable for:
Follow the company's Code of Conduct and always acting with integrity and due diligence
Accountable to EA and market leaderships for building the analytics road-map and improve analytical maturity of partnering functions with in depth understanding of key priorities and outcome
Thought leadership in scoping the business problems, solutions and bringing disruptive/depth oriented solutions to complex problems and institutionalize robust ways of working with business partners
Partner with the company's and market's finance team to measure the value delivered through analytical initiatives
Build impact driven teams to craft analytical assets which will deliver value in sustainable manner
Be the voice and represent Enterprise Analytics on internal and external forums
Provides inputs that impact the functions plans, policies, influences the budget and resources in their scope
Developing managers and colleagues to succeed through inspiring conversations every day
Lead functions and company's initiatives to drive continuous development
Operational skills relevant for this job:
Understanding of machine learning techniques - Linear and Logistics regression, Decision Trees, Random Forest, XgBoost and Natural Network
Knowledge of Python, SQL, Hive, and one of the visualisation tools
Retail Expertise, Partnership management, Analytical
Conceptual application to larger business context, Storyboarding, managing managers
Experience relevant for this job:
10-12+ years of experience on Leading multiple analytics engagements in any one of domains like retail, cpg, telecom or hospitality and for one of the following functional areas: marketing, supply chain, customer, merchandising, operations, finance and digital
