Data Centre

1 week ago

bangalore, India Azim Premji Foundation Full time
Organization: Azim Premji Foundation
The Azim Premji Foundation aims to contribute to a society that is “a just, equitable, humane and sustainable society” as envisaged in the Constitution of India. The Foundation does extensive and deep ‘on-the-ground’ work across the country – directly through its operations and partners. It has established Field Offices as well as two Universities in Bengaluru and Bhopal.
Unit: Knowledge Resource Centre-Data Centre
The Knowledge Resource Centre is an enabling function of the Foundation providing knowledge services to members, and the Azim Premji University community. The Data Centre is a sub-unit of the Knowledge Resource Centre and acts as a socio-economic data repository hub of the Azim Premji Foundation. It also has a dedicated Census data research workstation housing Unit-level Census India provided by the Census Office. The data centre also provides analytical services to the Azim Premji Foundation.
Location: Bengaluru (on-site working mandatory)
Experience Level: 3-4 years
Primary domain of work: Data related to Education, Health, Livelihood, Agriculture, Climate
Academic Qualification: Master's or above in Economics/Data Science/Econometrics/Statistics
Requirement:
· Data Science background working in the social domain preferred
· Should be able to produce high-quality and readable research summaries, report summaries, and notes for various levels of audience
· Should be able to think out-of-box and produce high-quality data analysis using various analytical tools and techniques
· Awareness and understanding of Indian government (Union and States/UTs) policies, programs, and budget
Technical Qualification:
· Knowledge of SPSS or STATA (Mandatory)
· Proficient in working on MS Excel/Advanced Excel
· Database management
· Experience and sound knowledge of online search techniques to source any data/datasets/Knowledge resources
· Good to have a working knowledge of statistical software such as R/Power BI
Database Knowledge:
· Proficient level knowledge of socio-economic datasets, survey methodologies, technical documents etc. of datasets such as NSS, Economic Census, Agriculture Census, and Education Datasets
Interpersonal Skills:
· Ability to work as a team player
· Effective communication skills and ability to communicate across teams and at various levels
· Adhere to the TAT (Turn-around-time) to address any data and knowledge request
· Honest, ethical, and transparent in work
· Take accountability for their work
· Proactive in work approach and generate new ideas to expand the work

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