Responsibilities

• Explore, design, develop and implement data analytics solutions across all business functions
• Integrate and prepare large and varied datasets for ease of data discovery and analytics using BI & Analytics tools
• Automate and operationalize data pipelines
• Train and empower business users in self-help data analytics capabilities
• Collaborate with business users, advise on analytical approaches and solutions to address business challenges
• Proactively discover and incorporate new insights from all data sources / raw datasets
• 
  Explore, test and recommend new technologies, tools and techniques that
  will overall improve data processing, enhance the analytics solution or
  produce effective and engaging visualization

Requirements

• 
  Degree in Statistics, Mathematics, Computer Science or related field
  with at least 2 years of experience in Data Analytics, new graduates
  with the right skills/competencies and eager to learn, are welcome to
  apply
• Experience in designing and developing data models,
  multiple data source integration, data pipelines in data warehouses and
  big data platforms
• Experience in presenting analytics results
  effectively using data visualization & analytics tools such as
  Tableau and ThoughtSpot
• Experience with Snowflake cloud data warehouse, relational databases with strong SQL knowledge
• Experience in MS Azure cloud technologies and cloud computing
• Experience with Agile development, DevOps and CI/CD
• Experience with Python, R, Linux/windows scripting would be an added advantage
• 
  Telecom domain knowledge with good understanding of Customer Care,
  Order Management, Marketing, Loyalty, Business Support and Network
  Provisioning systems would be advantageous
• Knowledge in
  Digital Marketing platforms and Data Management Platform (DMP),
  experience in analytics solutions that leverages on digital data
  collected from websites, mobile apps, emails, cookies, device
  identifiers, 3 rd party providers (Google Analytics, Facebook etc.)
• Experience with geospacial analysis using telecommunications network data would be an added advantage
• Comfortable working with very large volumes of data of various structured/unstructured data formats
• Strong analytical and problem solving skills
• Excellent communication and presentation skills
• Able to perform under pressure and work effectively with end-users and vendors