Azim Premji Foundation
Location
Bangalore | India
Job description
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 workJob tags
Salary
