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Required Technical Competencies

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Domain/ Industry Knowledge:

• Has basic knowledge of customer’s business processes and relevant technology platform or product.
• Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

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Technology/Product Knowledge:

• Has basic knowledge of technology product/platform standards and specifications.
• Able to implement code or configure/customize products with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.
• Able to create unit test cases, scenarios and code that adheres to the low-level design & requirements and work on simple/elementary modules independently.

Tools & Platform Knowledge:

• Appreciation of the fact that custom coding may be required to customize every step of the data science/analytics life-cycle and must have awareness of the mainstream programming languages available (e.g. R, Python etc.).

Accountability: Takes ownership for and ensures accuracy of own work, meets deadlines, and asks questions about possible gaps to ensure clarity of ownership.

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Agility: Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.

Collaboration: Participates in team activities and reaches out to others in team to achieve common goals.

Communication: Effectively communicates in written and oral form, well-organized thoughts to others. Speaks openly and honestly with all employees.

Drives Results: Demonstrates a “can do” attitude and is willing to stretch self to achieve and exceed defined goals/targets.