Assistant Manager - SASE Engineering

Tata Communications

  • Bangalore, Karnataka
  • Permanent
  • Full-time
  • 23 days ago
Broad outline of the Role Responsible for implementation of advanced intelligence and analytics, data science and architecture solutions into organization's operations, products, and solutions. This is an operational role, responsible for driving day-to-day operations. Purpose - Broad objective of the role Size and Scope of Role - No. of direct reports Size and Scope of Role - Total team size Minimum qualification & experience BE/ BTech in Computer Science, Information Management or BSc/MSc in Statistics/Mathematics 4-7 years' experience as a data scientist or data analyst or data architect Other knowledge/skills Experienced in Data Science and Data Analysis. Hands on R Programming/ Basic SQL. The ability to aggregate data from disparate sources and prepare it for analysis. experience with data visualization tools, such as Tableau and Power BI. experience with using statistical approaches to solve analytics problems. familiarity with common 'data science and machine learning techniques, Key Responsibilities Interpret data, analyse results using statistical techniques and provide ongoing reports. Implement databases, data collection systems, data analytics solutions. Review data from primary or secondary data sources and maintain databases/data systems. Identify, analyse, and interpret trends or patterns in complex data sets. Preparing relevant data to use in analytics applications. Using various types of analytics tools to detect patterns, trends, and relationships in data sets. Creatingdata visualizations, dashboards and reports to communicate their findings. Review the data quality at source against the Data quality rules. Root cause Analysis of the difference in Gap of the measured Data quality against target. Identify the Referenceable and master Data and ensure that it is mastered in a single source of truth. Design solutions for API Enablement with Data Models Test and maintain data pipeline. Technical Competencies Knowledge / Skills

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