Closing Date : 30/04/2024

Specialist, BI & Data Analytics  

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Job Responsibilities

  • Design, develop, and maintain data analytics solutions, including data warehouses, reporting systems, and analytics dashboards, to support business intelligence needs.
  • Perform data analysis to extract insights and trends from large data sets and create reports and dashboards to communicate key performance indicators (KPIs) and business metrics.
  • Oversee data integration processes, data extraction, transformation, and loading (ETL) operations to ensure data accuracy and accessibility.
  • Managing metadata for data sources, transformation processes, and data definitions to ensure consistency and accuracy.
  • Ability to manage, track, and facilitate the repository of developed report & dashboard for report centralization to avoid duplicate effort on report & dashboard development and lifecycle management
  • Ensure that data handling practices comply with security standards and regulatory requirements.
  • Collaborate with senior management to align data analytics initiatives with the organization's strategic objectives.
  • Provide data-driven insights and recommendations to support revenue growth and operational efficiency.
  • Periodic reporting of task/project status and escalation of issues as and when required.
  • Undertake any other duties and functions that are assigned by the Team Lead or HOD.
  • Evaluate and implement data analytics tools, technologies, and platforms to ensure efficient data processing and analysis.

Job Requirements

  • Bachelor's or Master's degree in Computer Science / IT / Electrical & Electronic / Telecommunication or equivalent.
  • Minimum 3-7 years in data engineering, business intelligence, or data analytics, with a substantial portion of that experience in the telecommunications industry.
  • Proficiency in data analytics tools, SQL, database technologies (Postgresql, MSSQL, Oracle), and data visualization tools (PowerBI).
  • Basic knowledge of the telecommunications industry and data sources.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Able to work with cross functional teams on requirements gathering, development, testing and delivery of work.
  • Flexible and adaptable – capable of changing direction where required and showing flexibility to meet new demands.
  • Bonus with experience in Python programming language