تحلیلگر کلان داده (پیمانکار)

Job Description

Mission:
-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.
-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:
-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.
-Work closely with cross-functional teams to ensure alignment with data quality standards and efficient data utilization to drive business value.
-Identify and execute possible opportunities to leverage big data technologies to create business value aligned with digital transformation initiatives in the data dimension.
-Execute data integrity audits while working closely with the Marketing data science team and other relevant stakeholders.
-Develop and implement robust data integration and validation processes to ensure the accuracy and completeness of transferred information.
-Check revenue flow, free usage, and overall system health from both financial and non-financial perspectives.
-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.
-Develop and implement data models and algorithms to optimize data processing and enhance decision-making processes.
-Utilize data visualization tools to present findings and communicate key insights to stakeholders.
-Ensure adherence to data governance principles aligned with the data management and analytics framework.
-Stay abreast with industry trends and emerging technologies in big data analytics to ensure the best methods and techniques are used in data analytics.
-Identify opportunities for process optimization and efficiency improvements within the data management and analytics framework.
-Identify business requirements through collaboration with internal stakeholders and translate them into actionable analytical tasks.
-Document processes, methodologies, and findings to facilitate knowledge sharing and ensure organizational continuity.
-Ensure data integration and reporting, and address any challenges and issues through coordination with relevant departments.
-Ensure the 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.
-Work with channels to ensure seamless integration with the new charging system and accurate reporting of service prices.
-Work closely with cross-functional teams to identify business objectives and provide data-driven inputs to optimize operations, improve customer experience, and drive growth.
-Assist in the clarification of the data integrity project scope in collaboration with key stakeholders.
-Build and optimize seamless data pipelines to ensure data accuracy, completeness, and accessibility, empowering informed decision-making
-Support the team in the development and execution of a transformative big data strategy, aligned with commercial objectives.
-Assist in the elevation of the organization's digital maturity and fuel data-driven
innovation across all aspects related to big data technologies.

*Education:
-Bachelor degree in Information Technology or related fields.
-MBA degree or a Master degree is advantageous.

*Experience:
-Technical data handling tracks record of 3 years or more, with at least one year in telecommunication-related business (CVM, BI, data engineering, and data science).
-2 years of experience in managing a portfolio of technical and business projects.
-Working across diverse cultures and geographies is advantageous.

*Technical Competencies:
-Data Architecture
-Requirement Analysis
-Database Management
-Big Data Platforms
-Reporting and Analysis
-Data Visualization; Presentation
-Strategy Management
-Machine learning
-Programming Languages
-Business Intelligence
-Distributed Computing
-Statistical Analysis
-Data Quality Assurance

*Behavioral Competencies:
-Leadership
-Innovation
-Relationship
-Integrity
-Can-do
-Customer Centricity
-Agility