- To collect and validate business information (which can then be used by data scientists and business stakeholders).
- To design and implement data models and architectures that enable business stakeholders to gain insights from large-scale datasets.
- To design and develop ETL processes, pipelines, and data validation processes to ensure accuracy and consistency of data.
- To identify valuable data assets, in order to reduce duplication and enable faster delivery of deeper insights to the Operational reporting.
- Identify key drivers and value creators within user journeys.
- Developing and maintaining dashboards, reports, and visualizations that provide insights into key business metrics and trends.
- To help the organizations leverage their data to make informed decisions and improve business outcomes.
| Data Engagement and Support | § Align to the division’s capability in using operational data to drive consolidated, reusable datasets, reducing data silos and duplication.
§ Provide support to Executive Team comprised of IT Operations, Development and Program Management data. § Identify opportunities to improve business as usual processes using modern technologies and automation. § Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision making. § Analyze operational data performance and effectiveness and provide actionable insights for future planning and optimization. § Maintain, build and improve data consolidation and automation from operational data to package data for re-use. § Design and implement complex enterprise view reports in existing IT Operational Reporting tools. § Analyze and organize raw data. |
| Technical Competency | § Be accountable for solutions, their sustainability and accuracy as well as delivery deadlines.
§ Share knowledge and practical experience with community and team. § Implement best practice Data warehousing development based on methodology adopted for solution by Architecture. |
| Operational Delivery | § Develop and comply to Data Modeling and Database Design Standards.
§ Align to Data Model and Database Design Quality. § Develop and Maintain Logical Data Models. § Develop and Maintain Physical Data Models. § Design Physical Databases. § Communicate with various business areas and gather and prioritize their business requirements. § Manage application and data integration platforms. § Create reliable pipelines. § Combine data sources. § Architect data stores. |
| Qualifications
§ Minimum suitable tertiary qualification or an equivalent. § Post graduate qualification would be advantageous. § Cloud Technology Certifications in Databricks, AWS, Azure, Data Engineering and other technologies highly advantageous. |
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| Experience
§ A minimum of 2-3 year in ETL Framework driven environment § 3-5 years Multiple database experience advantageous o MSSQL/SQL o MySQL o Postgres SQL o No-SQL o Data Virtualization o AWS data § At least 5 years working experience. § Knowledge of Data Virtualization and Data Warehousing. |
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| Technical Competencies
§ Data Modeling and design § Programming knowledge and skills § Project Management § Risk Management § Customer Expectation Management § Business Analysis Techniques § BI and Analytics Architecture (including Big Data) |
Desired Skills:
- Instructing
- Learning Strategies
- Active Listening
- Coordination
- Management of Personnel Resources
- Persuasion
- Service Orientation