Role Purpose
Architect and execute creation of robust data models and data warehousing solutions to support business requirements and initiatives.
- Lead optimization, management and support for ongoing data models and ETL processes.
- Oversee the development and optimization of ETL processes, ensuring data is accurately extracted, transformed, and loaded into the data warehouse in a timely manner.
- Collaborate with technology and business stakeholders to identify and understand data sources, and define data collection and integration strategies.
- Develop and maintain scalable and reliable data pipelines that support complex data analysis and reporting needs.
- Guide the team in the analysis of large, complex datasets, providing insights and recommendations to drive business outcomes.
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- Stay abreast of industry trends and advancements in data technology, adopting new tools and techniques to enhance data capabilities.
- Lead and mentor a team of data analysts, fostering a collaborative and innovative work environment.
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 Tools, Python, SQL, Advance SQL, ETL Data Warehousing, Data Modelling.