Big Data Analyst (Vendor)

Mission:

• To elevate the organization's data maturity by ensuring data quality, utilizing big data technologies for advanced analytics, and translating insights into actionable strategies for data-driven decision-making and digital transformation.
• To ensure data quality and integrity through monitoring, implementation of best practices, and leveraging big data technologies to extract valuable insights and drive business value.

Roles & Responsibilities:

• To support the team in the development and implementation of data quality metrics, monitoring data quality over time, and directly identifying and resolving data quality issues.
• To work closely with cross-functional teams to ensure alignment with data quality standards and efficient data utilization to drive business value.
• To identify and execute possible opportunities to leverage big data technologies to create business value aligned with digital transformation initiatives in the data dimension.
• To execute data integrity audits, while working closely with the Marketing data science team and other relevant stakeholders.
• To develop and implement robust data integration and validation processes to ensure the accuracy and completeness of transferred information.
• To check revenue flow, free usage, and overall system health from both financial and non-financial perspectives.
• To utilize big data technologies such as Open-Source databases and apply advanced statistical and exploratory analytical techniques to analyze vast datasets, extract valuable insights, interpret complex data, and uncover patterns and anomalies.
• To develop and implement data models and algorithms to optimize data processing and enhance decision-making processes.
• To utilize data visualization tools to present findings and communicate key insights to stakeholders.
• To ensure adherence to data governance principles aligned with the data management and analytics framework.
• To stay abreast with industry trends and emerging technologies in big data analytics to ensure the best methods and techniques are used in data analytics.
• To identify opportunities for process optimization and efficiency improvements within the data management and analytics framework.
• To identify business requirements through collaboration with internal stakeholders and translate them into actionable analytical tasks.
• To document processes, methodologies, and findings to facilitate knowledge sharing and ensure organizational continuity.
• To ensure data integration and reporting, and address any challenges and issues through coordinating with relevant departments.
• To ensure smooth transfer of customer data and safeguard the integrity of business intelligence (BI) and Big Data Systems during migration from the current system to the new system.
• To work with channels to ensure seamless integration with the new charging system and accurate reporting of service prices.
• To work closely with cross-functional teams to identify business objectives and provide data-driven inputs to optimize operations, improve customer experience, and drive growth.
• To assist in clarification of the data integrity project’s scope in collaboration with key stakeholders.
• To build and optimize seamless data pipelines to ensure data accuracy, completeness, and accessibility, empowering informed decision-making.
• To support the team in the development and execution of transformative big data strategy, aligned with commercial objectives.
• To Assist in Elevation of the organization's digital maturity and fuel data-driven innovation across all aspects related to big data technologies.

Education:

• Bachelor’s degree in Information Technology or related
• MBA/Master’s degree is advantageous

Experience:

• Technical data handling tracks record of 3 years or more; with at least one years in telecommunication related Business (CVM, BI, Data engineering, and Data Science)
• 2 years of experience in managing a portfolio of technical and business projects
• Worked across diverse cultures and geographies is advantageous

Technical Competencies:

• Data Architecture
• Requirement Analysis
• Database Management
• Big Data Platforms
• Reporting and Analysis
• Project Management
• Data Visualization & Presentation
• Strategy Management
• Machine learning
• Programming Languages
• Business Intelligence
• Distributed Computing
• Data Quality Assurance

Behavioral Competencies:

• Leadership
• Innovation
• Relationship
• Integrity
• Can-do
• Customer Centricity
• Agility