Analyst

Job description

• Experience in Python, with knowledge of at least one Python web framework such as Django or Flask.

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Able to integrate multiple data sources and databases into one system.

• Understanding of the threading limitations of Python, and multi-process architecture.

• Basic understanding of front-end technologies such as JavaScript, HTML5, and CSS3

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Able to create database schemas that represent and support business processes

• Experience analyzing data and creating reports using SQL and or languages similar to SQL

Stakeholder Interaction

Stakeholder Type

Stakeholder Identification

Purpose of Interaction

Internal

Team Leaders

Performance review

HR

Hiring and employee engagement and retention

Training Team

Capability development

Technical Lead

Training, issue escalation/ resolution

External

Client

Query Resolution

Display

Lists the competencies required to perform this role effectively:

• Functional Competencies/ Skill
  • Process Knowledge - Knowledge of assigned process, tools and systems - Foundation to Competent

Competency Levels

Foundation

Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance.

Competent

Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well.

Expert

Applies the competency in all situations and is serves as a guide to others as well.

Master

Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognized within the entire organization.

• Behavioral Competencies
  • Collaborative working
  • Problem solving and decision making
  • Attention to Detail
  • Execution Excellence
  • Client (Internal) Centricity
  • Effective Communication

Deliver

No.

Performance Parameter

Measure

1.

Process

No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback

2.

Self- Management

Productivity, efficiency, absenteeism, Training Hours, No of technical training completed

Python, Django and Flask.