Technical Sales Support Analyst

1 semana atrás

Sao Paulo, Brasil ABB Tempo inteiro

**Technical Sales Support Analyst (digitalization)**:
**Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.**:
**Your responsibilities**:

- Implements proactive promotional activities for the customer target group, including e.g. technical presentations, demonstrations, seminars and education material.
- Establishes and maintains effective long-term relationships with tar-get group customers to understand their current and future needs and to ensure the customer has a good understanding of the full ABB product/systems/services offering, features and benefits. Ensures a positive experience for the customer target group throughout the promotion activities.
- Prepares plans for visits and performs regular status reviews, including the analysis and output of the target audience visits. Support KPI’s and monitors the sales performance, e.g. productivity, channels, sectors.
- Ensures efficient marketing activities and strong value proposition to customers by using effective promotional techniques. Communicates details in accordance with ABB offering and strategy.
- Manages and drives education of the target audience by conducting and organizing appropriate training interventions.
- Ensures cross-collaboration and continuously develops own and team members’ technical, commercial, design and behavioral competences and know-how.

**Your background**:

- Degree in Engineering with data science knowledge or only Data Science.
- Knowledge in data science with experience in data management, contextualization, data mining, modeling, and artificial intelligence.
- Experience working on Microsoft Azure, Machine Learning and Model training.
- Knowledge in IT environment, Ethernet network, servers, cloud, edge, flog, cybersecurity;
- Familiarity with Python, R, C++ and Java;

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