Big Data and Analytics Presales Solution Consultant

CODE.ID was previously a business unit of INTEGRASI, a system integrator that also provided software services established in 1999. In 2014, CODE.ID becomes an independently run company which currently has around 100 passionate developers with a myriad numbers of skill sets.

CODE.ID has been established since 1999 and became a publicly listed company in Jakarta Stock Exchange in 2001 - as PT Integrasi Teknologi Tbk. It was back to be a private company in 2007.

Our Success Stories:
We successfully developed, deployed, and supported Information Technology Infrastructure for Komisi Pemilihan Umum (KPU) or the National Election Commission in 2004. We developed the election application and also distributed, installed, and supported (7x24 hour) two data centers and 8000 VPN connected personal computers in 5,000 locations in the cities, rural areas, and remote areas all over Indonesia.

Responsibilities:
Collaborate with sales team to understand customer requirements related to big data and analytics

Analyze customer data landscape and develop solutions that address their specific needs and objectives

Lead solution architecture discussions with customers, including data modeling, data integration, data processing, and analytics capabilities

Create proposals and proof-of-concept (POC) to showcase the solutions

Present the proposed solutions through effective presentations and demonstrations

Estimates the required timeline and manpower for the implementation of the solutions

Work closely with project management and engineering teams to provide feedback on product features, enhancements, and roadmap based on customer requirements

Stay updated on industry trends, emerging technologies, and competitive landscape in the big data and analytics
Years of experience in a presales and technical consulting role, with a focus on big data and analytics solutions

Deep understanding of big data technologies and platforms, such as Hadoop, Spark, data warehouses, data lakes, AWS, Azure or GCP big data services, or other technologies related to big data and analytics

Strong knowledge of data analytics tools and techniques, including machine learning, descriptive, predictive and prescriptive modeling, and data visualization

Proven track record on successfully delivering presales supports

Strong analytical and problem-solving skills to understand customer requirements and develop innovative solutions

Excellent communication and presentation skills to communicate technical concepts to both technical and non-technical audiences

Experience and have ability to prioritize and handle multiple prospects simultaneously

Relevant certifications in big data and analytics technologies (e.g., Cloudera, AWS, Azure, GCP) are a plus