MetLife

GG10 Business System Analyst (Data Modelling)

Position Title:  GG10 Business System Analyst (Data Modelling)

Reports to (Responsibility Level):  GG11 Lead Data Engineer / Lead Big Data Engineer / GG 11 Senior Data Engineer / Lead BSA or above

Supervises:  Not Applicable

Location:

Hyderabad /Noida, India 

Global Grade:

GG 10.1

Complexity: OSTG

PID/s Load Mapping:

Position Summary

MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science.

Role Value Proposition 

The Business analyst data modeler is an important role in the data and analytics (D&A) organization. The role ensures, data is structured, organized and is represented effectively aligned to the needs of the organization. The role helps design logical & physical model which include implementation of robust data models that accurately capture, store, and manage data end to end.

Job Responsibilities

·       Perform data modeling activity (Logical, Physical) using data modeling tool – CA Erwin Data Modeler

·       Ability to gather, understand & analyze business requirements accurately

·       Ability to analyze data using SQL

·       Partnering with other teams to understand data needs & translating it into effective data models.

·       Ability to collaborate with stakeholders to provide domain-based solutions.

·       Experience in implementing industry data modeling standards, best practices, and emerging technologies in data modeling

·       Hands-on experience with API development and integration (REST, SOAP, JSON, XML).

Education, Technical Skills & Other Critical Requirement

Education

Bachelor’s degree in computer science, Engineering, or a related tech or business discipline

Experience 

(In Years)

1.      3-5 years Hands on experience in CA Erwin

2.      3-5 years experience in SQL, data modelling and data analysis

3.      Ability to communicate effectively

4.      Understanding of API Design and Ingestion

5.      Ability to communicate effectively both orally and in writing with various levels of management, including translating complex ideas and data into actionable steps for business units

Technical Skills

1.      Strong SQL skills

2.      Hands-on experience with ERWIN tool

3.      Familiarity with Agile best practices

4.      Strong collaboration and facilitation skills

Other Preferred Skills 

1.      Familiarity with Azure cloud

2.      Experience in a client-facing role/environment.