LTIMindtree Recruitment 2023: LTIMindtree announces the Hiring of a Data Analyst Intern, Interested and eligible candidates can go through this post for further details about LTIMindtree Recruitment 2023.
Here we provide information about the company Name, Job Role, Salary, Qualifications, and Job Responsibilities.
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Table of Contents
LTIMindtree Recruitment 2023:-
Company Name | LTIMindtree |
Position | Business Analyst |
Qualifications | Bachelor’s/ Master’s Degree/ MBA |
Batch | 2018/ 2019/ 2020/ 2021/ 2022/ 2023 |
Experience | 0 – 2 (Years) |
Location | Chennai/ Bangalore, India |
Key Responsibilities:
- Especially conversant with NCR Aloha POS, Order Management, Menu Management and other QSR systems.
- Strong understanding of restaurant domain areas, namely – POS, BOH functions, KDS, OLO, Menu Mgmt. and other store and corporate functions.
- Hands on knowledge of handing requirements management in an Agile environment
Eligibility Criteria:
- Bachelor’s/ Master’s Degree
Preferred skills:
- Hands on knowledge of creating and managing user stories in JIRA
- Strong interpersonal communication skills and stakeholder mgmt.
- Previous work experience with US clients is preferable.
- Hands on knowledge of NCR Aloha POS and Workday would be preferable.
About Company:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across 30+ countries, LTIMindtree – a Larsen & Toubro Group company – combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
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