Workforce Functional Analyst

País :
Distrito :
Cidade :
Categoria :
IT - Internet
Tipo de contrato :
Efetivo - CLT
Tipo de emprego :
A tempo inteiro

Descrição da empresa

Farfetch is an innovative e-commerce company that brings the world's best fashion boutiques to an international audience. Launched in October 2008, Farfetch is rapidly growing into a truly global company. Our family now includes more than 1000 talented people and 400 independent boutiques across Europe, North and South America, Asia, and offices in London, New York, LA, Porto, Guimarães, São Paulo, Tokyo, Shanghai, Moscow and Hong Kong.

Descrição do cargo

The Role:

Reporting to the Workforce Analytics Lead, you will be responsible for data modeling and data development to support the global structure of Customer Excellence. The Workforce Functional Analyst will work closely with the Workforce Global team to help cleaning all data models to ensure a faster and more efficient data analysis.

What you'll do

- Create and manage data sources relevant for Customer Excellence teams

- Develop new reporting and analytics data points for the global Workforce

- Create dashboards/reports adding analytical quality and experience

- Accessing and analyzing data to generate Partner insights and make proactive recommendations;

- Monitor and control performance metrics, working closely with the global workforce to anticipate potential impacts and risks, proactively reporting any target deviations;

- Perform root-cause analysis to support business and workforce needs

- Work closely with the global workforce team to make continuous improvements to the service levels

- Explore and develop new models and data-driven solutions that improve the workforce

Who you are

- WFM and/or Data Analysis experience in a multi-channel service environment is a plus

- Experience with SQL (jobs, functions, stored procedures)

- Knowledge in Python and/or R

- Experience in Data Integration Processes

- Excellent communication skills

- Ability to manage large volume of information

- Strong analytical and problem solving skills

- Highly organized

- Flexibility in schedule; must be available to work possible evenings, weekends and holidays when needed by global team