AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
DMV - Consultant
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
DMV - Consultant
- Experience:
- 3 years of experience as a Business Analyst or in a related role, preferably with exposure to data projects.
- Exposure to working across various industries such as Financial Services & Insurance (FSI), healthcare, Technology, Media & Telecommunications (TMT), or retail is beneficial.
- Basic proficiency in documenting and creating business processes and requirements.
- Experience in working with stakeholders to gather and understand business requirements.
- Technical Skills:
- Basic understanding of SQL, data modeling, and ETL processes.
- Familiarity with at least one data platform or cloud service (e.g., AWS, Azure, GCP).
- Exposure to data visualization tools like Tableau, Power BI, or Qlik is a plus.
- Proficiency in creating presentations and storyboards using PowerPoint.
- Communication Skills:
- Strong verbal and written communication skills, with the ability to effectively communicate complex ideas to both technical and non-technical stakeholders.
- Ability to create clear and concise documentation and reports.
- Certifications:
- Entry-level certifications in Business Analysis (e.g., ECBA) or familiarity with data analytics tools is desirable but not mandatory.
- Education:
- Bachelor’s degree in Business Administration, Data Analytics, Computer Science, or related fields is preferred.
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