Integration Consultant o9

Req ID: 389543

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Integration Consultant o9 to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Once You Are Here, You Will:

• Effectively engage and communicate with clients at all levels of the organization during the delivery process to earn their confidence and trust
• Identify data needs for a given project, formulate the data request, and work with clients to obtain and model the data for analysis
• Complete detailed and quantitative analysis and clearly articulate findings and recommendations
• Concisely complete deliverable content as required for each client
• Maintain effective real-time and written interaction with clients
• Perform analytical work (Excel, SQL, Alteryx, Tableau, etc.) and present recommendations via - PowerPoint/other formats to senior leadership team members
• Develop and maintain positive client relationships
• Carry out timely response and resolution of batch automation disruptions, in order to meet

customer SLA’s with accurate and on-time results

• Validating, synthesizing, transforming customer data for planning, visibility, collaboration,

and analytics using tools like SQL/SSIS/Excel.

• Review and analyze the data provided by the customer along with its technical/functional

intent and interdependencies.

• Ensure smooth operations of supply chain applications cloud-based solution, supporting continuous integration

and delivery processes

• Collect, monitor and analyze systems performance data for improved performance; create

automated tasks with shell scripts (bash, PowerShell, python)

• Understand the supply chain platform’s data model (table structures, linkages, optimal designs)

post-go-live for maintaining, debugging, and enhancing various planning use cases.

• Participate in the technical design, data requirements gathering, making recommendations

in case of inaccurate or missing data.