Data Analytics Presales Consultant
Intracom Telecom, Greece
Job Description
INTRACOM TELECOM is a global telecommunication systems and solutions vendor operating for over 40 years in the market. The company innovates in the wireless access and transmission field, offers a competitive telco software solutions portfolio and combines its offerings with a complete range of professional services.
Our mission is to shape the future through technology, and we recognize that human capital is the key factor to achieve this in today's business environment. Our company's highly specialized and experienced personnel are pivotal to achieving demanding objectives and advancing the capabilities of the company to better serve its customers.
As a global pioneer in telecommunications systems and solutions, INTRACOM TELECOM is committed to shaping the future through groundbreaking technology. At the heart of this vision lies our dedication to harnessing the transformative power of data analytics. The role of the Data Analytics Presales Consultant is pivotal in this journey.
You will not just be supporting sales and interfacing with clients; you will be a key architect in building bridges between our innovative technologies and the real-world challenges faced by our clients in diverse sectors. Your expertise and insights will directly contribute to crafting cutting-edge solutions that embody our mission to revolutionize how industries leverage data, driving not only our growth but also enabling our clients to thrive in an increasingly data-driven world.
In this role, you are not just a consultant; you are a vital catalyst in our mission to transform the future through innovative technology solutions.
Responsibilities:- Understanding Client Needs and Opportunities: Identify and map out potential data analytics opportunities in various industries, aiming to increase client engagement by at least 20% annually through tailored solutions.
- Developing Presentations and Demos: Craft and deliver compelling presentations and demos, historically proven to boost client understanding and interest, resulting in a 30% increase in successful project proposals.
- Providing Technical Guidance: Advise clients on data and business requirements, leveraging our past successes where our guidance led to a 25% improvement in clients' operational efficiencies.
- Creating Proposals for Tenders and Requests: Develop comprehensive proposals that have consistently outperformed competitors, winning 40% more bids for large-scale projects in the past two years.
- Designing Proof-of-Concept Projects: Implement proof-of-concept projects that demonstrate the value of our solutions, contributing to a client retention rate of over 85%.
- Collaborating with Multidisciplinary Teams: Work closely with a team of experts to develop customized solutions, enhancing client satisfaction scores by an average of 30% through collaborative innovation.
- Keeping Up-to-Date with Trends and Technologies: Regularly update skills and knowledge, applying the latest trends to client solutions, which have led to a 15% increase in project efficiency and cutting-edge technology adoption.
Requirements
- Educational Background: A BSc or MSc in Computer Science, Engineering, Data Science or any other related field
- Professional Experience: A minimum of 3 years of experience in data analytics, business intelligence or a similar role, with at least 2 years in a client-facing position such as presales or consulting
- Technical Proficiency: Deep understanding of data analytics technologies and practices, including but not limited to data warehousing, ETL (Extract, Transform, Load) processes, data visualization tools, and machine learning algorithms. Hands-on experience with SQL and programming languages like Python or R is essential
- Industry Knowledge: Familiarity with key sectors such as Telecommunications, Finance, Utilities, and Retail, and an understanding of the unique data challenges and opportunities within these industries.
- Soft Skills: Exceptional communication and presentation skills are critical. The ability to explain complex technical concepts to non-technical stakeholders is a must. Strong analytical and problem-solving skills, coupled with a consultative approach to working with clients, are required.
- Innovation and Continuous Learning: A proven track record of staying abreast with the latest trends and advancements in data analytics and AI. Eagerness to continuously learn and apply new technologies and methodologies to provide cutting-edge solutions to clients.
- Team Collaboration