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.
- 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.