Aftersales Data Analyst

Overview

Hybrid : for this position is required to be on site 3x / week

What you will do (responsabilities) :

Support the Aftersales business transformation, through the conversion of our data sources into valuable, reliable, and timely information, by developing tools, analysis and reports to understand our business performance, and clients' behaviors in the different business channels.

Develop and support the Aftersales Business Intelligence strategy, through the development of tools for analyzing the performance of all business lines and the main KPIs : Sell in, Sell out, customer retention, analysis by segment and sales channel, etc.

In order to provide the different teams and leadership with the necessary information to make the best business decisions.

Your skills and abilities (required qualifications) :

Bachelor's in business, Statistics, Applied Mathematics, Financial, Engineering, Administration, Computer Science, or related fields

Proficient in the use of technological tools (Excel, Power BI, Python, SQL and Knime for Data Science)

Minimum intermediate knowledge in English language

Experience in a business administration or Data Science, in a strategic or analytical role

Have a track record of delivering productized models with proven business impact

Knowledge and experience in training and applying algorithms to solve business problems

Proven experience on aftersales automotive segment is desirable

What can you give a competitive edge (preferred qualifications) :

It will be a differential if you have prior business experience (e.g., sales, sales admin, marketing, product management, eCommerce, pricing, operations and / or supply chain, data analytics)

Client-facing and strategic attitude

Initiative and excellent interpersonal relationship

Dealing with ambiguity / Innovation Management

Organizational agility / Learning on the fly

Action & results oriented

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