Role Purpose
- 3+ years of strong experience with Data Transformation, Datawarehouse/Database creation & ETL on large data sets.
- 3+ years of Data Modelling experience (i.e. Relational, Dimensional, Columnar)
- 3+ years of complex SQL or NoSQL experience.
- Experience in advanced Data Warehouse concepts.
- Experience with Business Requirements definition and management, structured analysis, process design, use case documentation.
- Experience in professional software development capacity using SDLC, waterfall and Agile mode of development.
- Demonstrate exceptional organizational skills and ability to multi-task simultaneously with different parallel projects.
- Strong verbal & written communication skills to interface with business teams & lead towards successful business outcome.
- Must be self-managed, proactive and customer focused.
- Degree in Computer Science, Information Systems, Data Science or related field.
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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
Data Analyst, Data Visualization (Tableau, Power BI), Data Modelling, Data Warehousing, SQL and Advance SQL