모집분야 | 담당업무 | 모집인원 | 지원자격 |
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Strategy Consultant Intern |
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Data Consultant Intern | ?Market Dynamics: Immersing yourself in
primary research and collaborate with dynamic teams assisting clients in
navigating market trends and refining competitive strategies.
?Operational Excellence: Support
operational improvement by designing models for a seamless client experience,
contributing to heightened efficiency and effectiveness in operational
processes.
?Stakeholder Engagement: Support
workshops, meetings, and interviews to understand and document requirements
collaborating with diverse teams to capture and synthesizing essential
information.
?Project Exposure: Gain hands on
experience shadowing product teams and enterprise-wide data integrations.
Contribute to data analytics assessments and actively participate in cloud
migration and system implementations across major platforms. | 00 | Qualifications: ?Currently pursuing a university
degree with a track-record of academic success, ideally in linguistics or
computer science field, but not essential.
?Strong interpersonal skills that enhance
collaboration and relationship building, while also managing dynamic workloads
in an agile environment
?Have initiative and passion to actively
seek new knowledge and improve skills while embracing a growth mindset to
assimilate diverse viewpoints
?Demonstrate leadership experience and
ability to communicate effectively through active listening; while also be
willing to adapt and have a readiness to take ownership of tasks and
challenges.
?Interest in one or more of the following
types of consulting: package, security, strategy, application, business
transformation, or experience.
?Can understand clients’ needs and
challenges, applying a creative and logical approach to identify solutions.
?Demonstrate foundational quantitative
analysis skills and ability to develop data driven recommendations.
?Exposure to one of the following
technologies (e.g., Generative AI, Prompt Engineering) is a plus.
?Deep understanding of top-down/bottom-up,
and hypothesis-driven thinking way |
IT Consultant Intern | ?Market Dynamics: Immersing yourself in
primary research and collaborate with dynamic teams assisting clients in
navigating market trends and refining competitive strategies. ?Operational Excellence: Support
operational improvement by designing models for a seamless client experience,
contributing to heightened efficiency and effectiveness in operational
processes.
?Stakeholder Engagement: Support
workshops, meetings, and interviews to understand and document requirements
collaborating with diverse teams to capture and synthesizing essential
information.
?Project Exposure: Gain hands on
experience shadowing product teams and enterprise-wide data integrations. Some
of the activities include contributing to data analytics assessments and
actively participating in cloud migration and system implementations across
different cloud platforms. | 00 | Qualifications: ?Currently pursuing a university degree
with a track-record of academic success
?Strong interpersonal skills that enhance
collaboration and relationship building, while also managing dynamic workloads
in an agile environment
?Have initiative and passion to actively
seek new knowledge and improve skills while embracing a growth mindset to
assimilate diverse viewpoints
?Demonstrate leadership experience and
ability to communicate effectively through active listening; while also be
willing to adapt and have a readiness to take ownership of tasks and
challenges.
?Interest in one or more of the following
types of consulting: package solutions, security, strategy, application design
& development, business transformation, or cloud migration.
?Exposure to one of the following
programming technologies (e.g. Python, Java, JavaScript, SQL) is a
plus.
?Exposure to one of the hyperscalers (e.g. AWS, MS Azure, OCI) is a plus.
?Can understand clients’ needs and
challenges, applying a creative and logical approach to identify solutions.
?Demonstrate foundational quantitative
analysis skills and ability to develop data driven recommendations. |