Data Analyst

As a Data Analyst in the Telecommunications & Fiber Industry, you will be responsible for gathering, analyzing, and visualizing large datasets to derive actionable insights that drive business decisions. Your role will involve designing data architectures, creating interactive dashboards, and collaborating with cross-functional teams to deliver data solutions. Key Responsibilities: - Data Collection & Analysis: Gather, process, and analyze large datasets to identify trends, patterns, and anomalies. - System Architecture: Design and maintain data architectures to ensure data integrity, availability, and security. - Dashboard Development: Create user-friendly dashboards to visualize key performance indicators (KPIs) and metrics. - Reporting: Develop comprehensive reports that provide actionable insights for strategic planning and operational improvements. - Collaboration: Work closely with network engineers, project managers, and IT professionals to understand data needs and deliver solutions. - Data Quality Assurance: Implement data validation and cleansing processes to ensure accuracy and reliability. Qualifications Required: - Educational Background: Bachelors degree in computer science, Information Technology, Telecommunications, or a related field. - Technical Proficiency: Experience with data analysis tools and programming languages like SQL, Python, or R. - Visualization Tools: Proficiency in dashboard development using tools like Power BI or similar platforms. - Understanding of Telecom Systems: Knowledge of telecommunications and fiber network infrastructures. - Analytical Skills: Strong problem-solving abilities with attention to detail. - Communication: Excellent verbal and written communication skills to convey complex data insights to non-technical stakeholders. In addition to the above qualifications, it is preferred if you have relevant certifications in data analytics or system architecture, prior experience in the telecommunications or fiber industry, and familiarity with tools such as Salesforce, Asana, FastField, MS Office, MS Teams, QuickBooks Enterprise, MS Automate, and Power BI for reporting and dashboard visualization.,