Assistant Manager - SASE Engineering
Apply now »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 organizations 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 commonÃÂ 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
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Data Analyst, Data Architect, Engineering Manager, Assistant Manager, Computer Science, Data, Engineering, Management, Technology