Assistant Manager - SASE Engineering

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Date: 7 Apr 2024

Location: Bengaluru, India

Company: Tata Communications

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.
  • Creating data 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


Job Segment: Data Analyst, Data Architect, Computer Science, Engineering Manager, Assistant Manager, Data, Technology, Management, Engineering

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