Data Pre-sales Consultant (gn)

Job Function: Sales Por qué SoftwareOne? : SoftwareOne is a leading global software and cloud solutions provider that is redefining how organizations build, buy, and manage everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareOne unlocks the value of technology. The company’s 9,200 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in ninety countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON. Visit us at www.SoftwareOne.com El puesto:

A Data Technical Presales Consultant interacts with potencial customers through executive meetings, discovery conversations, solution demonstrations, executive presentations and follow up discussions.

Specific Requirements:

• At least 5 years of solid pre-sales experience in providing consulting services and technical delivery of software projects in a senior level position.
• Demonstrated experience in delivering data analytics projects, with special focus on the manipulation, extraction and transformation part of big data as well as analytical DB modeling (BigQuery, RedShift, Oracle, MongoDB, etc.).
• Knowledge of cloud analytics architectures, with knowledge in all processes of creation, modeling and exploitation-analysis of a DataLake or DataWarehouse.
• Demonstrated skills to lead the sales cycle and work autonomously.
• Excellent communication and presentation skills to interact with stakeholders (senior management, team members, customers, manufacturers and support staff).
• Able to work independently and multi-task while managing multiple customer opportunities at once.
• Ability to work on own initiative and work autonomously and collaboratively within a team.
• Fluent English. The person joining will be part of a global Advanced Analytics practice so conversational English proficiency is a must.

With the following technical skills:

• Proficient in ML algorithms (supervised, unsupervised), explaining concepts like regression, classification.
• Familiar with TensorFlow, PyTorch.
• Skilled in data analysis (Python, R, SQL), creating visualizations (Matplotlib, Seaborn, Plotly), statistical methods.
• Knowledgeable in Big Data (Hadoop, Spark), NoSQL databases (MongoDB, Cassandra), distributed storage.
• Experienced in ETL processes, data pipeline development (Apache Airflow, NiFi).
• Proficient in cloud platforms (AWS, Azure, GCP), cloud-based services (SageMaker, Azure ML).
• Familiar with NLP techniques (NLTK, spaCy), AI ethics, and industry-specific challenges like fraud detection, predictive maintenance.

Business Problem Solving via Technology

• Demonstrated ability to understand and solve complex business problems using technology solutions.
• Proven track record of identifying and implementing innovative technological solutions to address client challenges effectively.

Sales Acumen

• Strong understanding of sales processes and techniques, with the ability to contribute effectively to the sales cycle from opportunity identification to closing.
• Proven ability to collaborate with sales teams, providing technical expertise and support to drive revenue growth and client acquisition.

Strong Verbal & Written Communication

• Ability to build well structured proposals with clear and technical concepts and processes, while focusing on the value to the customer of the services.
• Demonstrated ability to build rapport and establish credibility with clients through effective communication and presentation skills.

Industry/Market Awareness

• Comprehensive understanding of industry trends, market dynamics, and competitor offerings within the technology services sector.
• Ability to stay updated on emerging technologies and market developments, providing valuable insights and recommendations to enhance our solution offerings and competitive positioning.

Project management Methodologies and Frameworks Acumen

• Able to integrate in the proposals the appropriate project management methodologies in order to reflect the reality of the service delivery and include the appropriate pricing.

Continuous Learning Orientation

• Proactive in staying updated on industry developments, emerging technologies, and best practices in account management and customer success.
• Commitment to ongoing professional development and growth.

#LI-LP1 Que esperamos de tí:

A Data Technical Presales Consultant interacts with potencial customers through executive meetings, discovery conversations, solution demonstrations, executive presentations and follow up discussions.

Specific Requirements:

• At least 5 years of solid pre-sales experience in providing consulting services and technical delivery of software projects in a senior level position.
• Demonstrated experience in delivering data analytics projects, with special focus on the manipulation, extraction and transformation part of big data as well as analytical DB modeling (BigQuery, RedShift, Oracle, MongoDB, etc.).
• Knowledge of cloud analytics architectures, with knowledge in all processes of creation, modeling and exploitation-analysis of a DataLake or DataWarehouse.
• Demonstrated skills to lead the sales cycle and work autonomously.
• Excellent communication and presentation skills to interact with stakeholders (senior management, team members, customers, manufacturers and support staff).
• Able to work independently and multi-task while managing multiple customer opportunities at once.
• Ability to work on own initiative and work autonomously and collaboratively within a team.
• Fluent English. The person joining will be part of a global Advanced Analytics practice so conversational English proficiency is a must.

With the following technical skills:

• Proficient in ML algorithms (supervised, unsupervised), explaining concepts like regression, classification.
• Familiar with TensorFlow, PyTorch.
• Skilled in data analysis (Python, R, SQL), creating visualizations (Matplotlib, Seaborn, Plotly), statistical methods.
• Knowledgeable in Big Data (Hadoop, Spark), NoSQL databases (MongoDB, Cassandra), distributed storage.
• Experienced in ETL processes, data pipeline development (Apache Airflow, NiFi).
• Proficient in cloud platforms (AWS, Azure, GCP), cloud-based services (SageMaker, Azure ML).
• Familiar with NLP techniques (NLTK, spaCy), AI ethics, and industry-specific challenges like fraud detection, predictive maintenance.

Business Problem Solving via Technology

• Demonstrated ability to understand and solve complex business problems using technology solutions.
• Proven track record of identifying and implementing innovative technological solutions to address client challenges effectively.

Sales Acumen

• Strong understanding of sales processes and techniques, with the ability to contribute effectively to the sales cycle from opportunity identification to closing.
• Proven ability to collaborate with sales teams, providing technical expertise and support to drive revenue growth and client acquisition.

Strong Verbal & Written Communication

• Ability to build well structured proposals with clear and technical concepts and processes, while focusing on the value to the customer of the services.
• Demonstrated ability to build rapport and establish credibility with clients through effective communication and presentation skills.

Industry/Market Awareness

• Comprehensive understanding of industry trends, market dynamics, and competitor offerings within the technology services sector.
• Ability to stay updated on emerging technologies and market developments, providing valuable insights and recommendations to enhance our solution offerings and competitive positioning.

Project management Methodologies and Frameworks Acumen

• Able to integrate in the proposals the appropriate project management methodologies in order to reflect the reality of the service delivery and include the appropriate pricing.

Continuous Learning Orientation

• Proactive in staying updated on industry developments, emerging technologies, and best practices in account management and customer success.
• Commitment to ongoing professional development and growth.

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