Data Analyst @ NTT Global Delivery

Job Description

Req ID: 166302
NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Analyst to join our team in Gurugram, Haryna (IN-HR), India (IN).

• Job Title: Data Analyst
• Number of
• Positions: 5
• Duties: You will be part of the data delivery team and will have the opportunity to develop a deep understanding of the domain/function. You will design and drive the work plan for the optimization/automation and standardization of the processes incorporating best practices to achieve efficiency gains. You will run data engineering pipelines, link raw client data with data model, conduct data assessment, perform data quality checks, and transform data using ETL tools. You will perform data transformations, modeling, and validation activities, as well as configure applications to the client context. You will also develop scripts to validate, transform, and load raw data using programming languages such as Python and / or PySpark. In this role, you will determine database structural requirements by analyzing client operations, applications, and programming. Given the pace of this role, you will develop cross-site relationships to enhance idea generation, and manage stakeholders. Lastly, you will collaborate with the team to support ongoing business processes by delivering high-quality end products on-time and perform quality checks wherever required. You will be part of the data delivery team and will have the opportunity to develop a deep understanding of the domain/function. You will design and drive the work plan for the optimization/automation and standardization of the processes incorporating best practices to achieve efficiency gains. You will run data engineering pipelines, link raw client data with data model, conduct data assessment, perform data quality checks, and transform data using ETL tools. You will perform data transformations, modeling, and validation activities, as well as configure applications to the client context. You will also develop scripts
• to validate, transform, and load raw data using programming languages such as Python and / or PySpark. In this role, you will determine database structural requirements by analyzing client operations, applications, and programming. Given the pace of this role, you will develop cross-site relationships to enhance idea generation, and manage stakeholders. Lastly, you will collaborate with the team to support ongoing business processes by delivering high-quality end products on-time and perform quality checks wherever required.
• Skills: . 3-6 years of professional work experience with a reputed analytics firm . Expertise in handling large amount of data through Python or PySpark . Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools . Experience of deploying ETL / data pipelines and workflows in cloud technologies and architecture such as Azure and Amazon Web Services will be valued . Comfort with data modelling principles (e.g. database structure, entity relationships, UID etc.) and software development principles (e.g. modularization, testing, refactoring, etc.) . A thoughtful and comfortable communicator (verbal and written) with the ability to facilitate discussions and conduct training . Track record of strong problem-solving, requirement gathering, and leading by example . Ability to thrive in a flexible and collaborative environment . Track record of completing projects successfully on time, within budget and as per scope
• Education: . Bachelor's degree in Engineering or Computer Science
• Skills: Required . PYTHON . DATAWAREHOUSE . ETL . MICROSOFT SQL SERVER . Data Analyst

Employement Category:

Employement Type: Full time
Industry: IT
Functional Area: Analytics
Role Category: Data Analyst
Role/Responsibilies: Data Analyst

Contact Details:

Company: NTT Data
Location(s): Noida, Gurugram

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