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- Managing the technical scope of the project in line with the requirements at all stages
- Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
- Develop record management process and policies
- Build and maintain relationships at all levels within the client base and understand their requirements.
- Providing sales data, proposals, data insights and account reviews to the client base
- Identify areas to increase efficiency and automation of processes
- Set up and maintain automated data processes
- Identify, evaluate and implement external services and tools to support data validation and cleansing.
- Produce and track key performance indicators
- Analyze the data sets and provide adequate information
- Liaise with internal and external clients to fully understand data content
- Design and carry out surveys and analyze survey data as per the customer requirement
- Analyze and interpret complex data sets relating to customer s business and prepare reports for internal and external audiences using business analytics reporting tools
- Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
- Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
- Develop predictive models and share insights with the clients as per their requirement
Stakeholder Interaction
Stakeholder Type | Stakeholder Identification | Purpose of Interaction |
Internal | Project Manager/ Database Lead | Regular reporting & updates |
External | Clients | Client engagement, reviews etc |
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Lists the competencies required to perform this role effectively:
- Functional Competencies/ Skill
- Leveraging Technology - Knowledge of current and upcoming technology (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization - Expert
- Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk - Expert
- Technical knowledge - knowledge of various programming languages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) and tools on data analytics - Expert
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 recognised within the entire organization. |
- Behavioral Competencies
- Formulation &Prioritization
- Client centricity
- Execution Excellence
- Passion for Results
- Confidence
- Business Acumen