Padmi

Data Analyst

ChennaiPosted 3 months ago
Data Science And StatisticsJuniorFull Time; Regular
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Role Overview: You are a skilled Data Analyst with 2-3 years of experience, preferably in the telecommunications and fiber industry. Your role involves gathering, analyzing, and transforming large datasets into actionable insights to drive business decisions. You will be responsible for data collection, system architecture design, dashboard development, reporting, collaboration with cross-functional teams, and ensuring data quality. Key Responsibilities: - Data Collection & Analysis: Gather, process, and analyze large datasets to identify trends, patterns, and anomalies. - System Architecture: Design and maintain data architectures for data integrity, availability, and security. - Dashboard Development: Create interactive dashboards to visualize key performance indicators (KPIs) and metrics for stakeholders. - Reporting: Develop comprehensive reports to provide actionable insights for strategic planning and operational improvements. - Collaboration: Work closely with cross-functional teams to understand data needs and deliver solutions. - Data Quality Assurance: Implement data validation and cleansing processes for accuracy and reliability. Qualification Required: - Bachelors degree in computer science, Information Technology, Telecommunications, or a related field. - Experience with data analysis tools and programming languages such as SQL, Python, or R. - Proficiency in dashboard development using tools like Power BI or similar platforms. - Knowledge of telecommunications and fiber network infrastructures. - Strong problem-solving abilities with attention to detail. - Excellent verbal and written communication skills for conveying complex data insights to non-technical stakeholders. Additional Details: The company utilizes various tools and systems for task management (Salesforce, Asana), data capture (FastField), productivity (MS Office), collaboration (MS Teams), accounting (QuickBooks Enterprise), automation (MS Automate), and reporting/dashboarding (Power BI). Role Overview: You are a skilled Data Analyst with 2-3 years of experience, preferably in the telecommunications and fiber industry. Your role involves gathering, analyzing, and transforming large datasets into actionable insights to drive business decisions. You will be responsible for data collection, system architecture design, dashboard development, reporting, collaboration with cross-functional teams, and ensuring data quality. Key Responsibilities: - Data Collection & Analysis: Gather, process, and analyze large datasets to identify trends, patterns, and anomalies. - System Architecture: Design and maintain data architectures for data integrity, availability, and security. - Dashboard Development: Create interactive dashboards to visualize key performance indicators (KPIs) and metrics for stakeholders. - Reporting: Develop comprehensive reports to provide actionable insights for strategic planning and operational improvements. - Collaboration: Work closely with cross-functional teams to understand data needs and deliver solutions. - Data Quality Assurance: Implement data validation and cleansing processes for accuracy and reliability. Qualification Required: - Bachelors degree in computer science, Information Technology, Telecommunications, or a related field. - Experience with data analysis tools and programming languages such as SQL, Python, or R. - Proficiency in dashboard development using tools like Power BI or similar platforms. - Knowledge of telecommunications and fiber network infrastructures. - Strong problem-solving abilities with attention to detail. - Excellent verbal and written communication skills for conveying complex data insights to non-technical stakeholders. Additional Details: The company utilizes various tools and systems for task management (Salesforce, Asana), data capture (FastField), productivity (MS Office), collaboration (MS Teams), accounting (QuickBooks Enterprise), automation (MS Automate), and reporting/dashboarding (Power BI).

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