Presales Consultant - Data

SquareOne Technologies; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading technology company is seeking a highly skilled Data Presale Consultant to join their sales team in Dubai. The ideal candidate will leverage their technical expertise to engage with clients, demonstrate the value of data solutions, and collaborate closely with internal teams to drive revenue growth. This role requires a strong understanding of analytics tools and excellent communication skills to address client needs effectively.

Qualifications

• 4+ years of experience in presales or solution consulting roles.
• Strong understanding of data management and analytics technologies.
• Proficiency in SQL and familiarity with programming languages.

Responsibilities

• Engage clients to understand business objectives and challenges.
• Conduct product demonstrations and deliver compelling presentations.
• Collaborate with sales teams to develop customized presales strategies.

Skills

Strong analytical skills

Presentation skills

Communication skills

Interpersonal skills

Negotiation skills

Problem-solving skills

Education

Bachelor’s degree in computer science or related field

Advanced degree or relevant certifications

Tools

Talend

Informatica

Azure Data Fabric

Qlik

PowerBI

SQL

MySQL

Job description

Bachelors in Computer Application(Computers), Bachelor of Technology/Engineering(Computers)

Nationality

Any Nationality

Any

Vacancy

1 Vacancy

Job Description

We are seeking a highly skilled and motivated Data Presale Consultant to join our dynamic sales team. The ideal candidate will be responsible for engaging with prospective clients to understand their business needs, demonstrating the value of our data solutions, and providing technical expertise to support the sales process. The Data Presale Consultant will collaborate closely with the sales, product, and technical teams to deliver compelling presentations, proposals, and proof-of-concepts that address customer requirements and drive revenue growth.

• Engage with prospective clients to understand their business objectives, challenges, and technical requirements related to data analytics and data management.
• Collaborate with sales representatives to develop customised presales strategies and solutions that align with customer needs and priorities.
• Conduct product demonstrations, workshops, and presentations to showcase the capabilities and benefits of our data analytics solutions.
• Provide technical expertise and guidance to clients throughout the presales process, including solution design, architecture, and implementation considerations.
• Collaborate with product management and engineering teams to stay informed about product roadmaps, features, and enhancements, and communicate customer feedback and requirements.
• Develop and deliver high-quality presales collateral, including presentations, proposals, case studies, and technical documentation, to support sales efforts and differentiate our offerings in the market.
• Assist in the preparation of RFP/RFI responses and contribute to the development of competitive positioning and effort estimates based on SOW.
• Participate in industry events, conferences, and webinars to promote our data solutions, establish thought leadership, and generate new business opportunities.
• Collaborate with cross-functional teams, including sales, marketing, product management, and customer success, to drive alignment and ensure a seamless customer experience.
• Provide support to Data Customers during the maintenance period (resolve issues/tickets raised)
• Empower oneself with data-specific technology certifications.
• personalised presale Continuous Learning and Improvement: Keeping up-to-date with emerging technologies, tools, and methodologies in data analysis and seeking opportunities for professional development.

Desired Candidate Profile

• Bachelor’s degree in computer science, information systems, or a related field; advanced degree or relevant certifications preferred.
• 4+ years of experience in presales, solution consulting, or technical sales roles, preferably in the data analytics, business intelligence, or software industry.
• Strong understanding of master data management, analytics, and visualisation technologies, including databases, data warehousing, ETL processes, BI tools, and advanced analytics platforms.
• Experience with Products such as Talend, Informatica, Azure Data Fabric, Qlik / PowerBI and cloud technologies such as Microsoft Azure, AWS, GCP
• Proven ability to communicate complex technical concepts effectively to both technical and non-technical audiences, including C-level executives and business stakeholders.
• Excellent presentation, interpersonal, and negotiation skills, with the ability to build rapport and establish credibility with clients and internal stakeholders.
• Strategic thinker with a customer-centric mindset and a passion for delivering innovative solutions that drive business value and competitive differentiation.
• Results-oriented team player with a proactive, self-motivated approach to problem-solving and a commitment to achieving sales targets and objectives.
• Willingness to travel as needed to support client meetings, workshops, and events.
• Strong analytical skills to analyse complex datasets and identify patterns, trends, and correlations.
• Knowledge of statistical methods, data modeling, and data visualization techniques.
• modelling· Strong analytical skills to analyze complex datasets, identify patterns, trends, and correlations.
• Knowledge of statistical methods, data modelling, and data visualization techniques.
• Familiarity with database systems, including SQL (Structured Query Language) for data retrieval and manipulation.
• Understanding of database design principles and experience with relational databases like MySQL etc.
• Proficiency in programming languages commonly used in data analysis, such as SQL etc.
• Ability to identify and define data-related problems, develop solutions, and think critically to address data-related challenges or discrepancies.
• Strong verbal and written communication skills to effectively communicate complex data concepts and findings to both technical and non-technical stakeholders.

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