Data Analyst

About the Role
The Azim Premji Foundation works to support and strengthen its programs through robust data systems that capture the reach and effect of its grants and program work. The Data Analyst, based at the Bangalore Program Office, will be central to this effort — working at the intersection of the program team, on-ground implementing partners, and the IT team to build, maintain, and improve the systems used to track program data, and translate it into insights for organisational decision-making. The Foundation’s MIS, applications, dashboards, and reporting tools are built largely through AI-assisted development tools (such as Claude and Claude Code) on low-code platforms (such as Frappe). The Data Analyst will use these tools to convert program requirements directly into working systems, drawing on the IT team for matters that fall outside the scope of these tools. This role is for a generalist with a basic understanding of data and systems and the ability to learn recent tools as they emerge. The role is not that of a software developer and does not require specialization in any programming language or platform.

Key Responsibilities
1. Building and Maintaining Apps and MIS
• Work closely with the program team and on-ground implementing partners to understand their data & monitoring requirements and build the corresponding Management Information System (MIS) modules, mobile data collection forms, and tools for measuring the effects and outcomes of the Foundation’s grants and program work.
• Use AI-assisted development tools and low-code platforms to configure and maintain the Foundation’s MIS — including data structures, forms, workflows, user roles, and reports — in consultation with the IT team where required.
• Support testing, piloting, and iterative refinement of new apps and MIS tools with partners ahead of full-scale rollout.
• Keep abreast of developments in AI-assisted development tools and low-code platforms and bring improvements in method and tools into the Foundation’s data systems work. 2. Bridging Program and IT Requirements
• Serve as the primary link between the program team, implementing partners, and the IT team on all matters relating to data systems,



ensuring that technology solutions genuinely reflect on-ground program needs.
• Provide day-to-day support to the program team and partners, helping them understand, adopt, and effectively use the Foundation’s data tools and systems.
• Translate program needs into system design, and system possibilities and constraints into language the program team can act on; escalate to the IT team only those matters that exceed the scope of the tools available to the role. 3. Supporting Data Maintenance and Issue Resolution
• Support partners and program teams in updating, cleaning, and maintaining program data on an ongoing basis.
• Track and log data-related issues raised by partners and program teams, resolve those within the scope of the role directly, and coordinate with the IT team and other stakeholders on the remainder to facilitate speedy resolution.
• Develop simple protocols and checklists to improve data quality and reduce recurring issues over time. 4. Dashboards and Management Reporting
• Design and build dashboards and reports that consolidate programs and grant data for management reporting at the organisational level, using the reporting tools of the MIS and AI-assisted development as appropriate.
• Ensure dashboards are accurate, current, and structured to support informed decision-making by leadership.
• Continuously refine dashboards and reports based on feedback from program and leadership teams. 5. Field Engagement and Capacity Building
• Travel periodically to field locations to understand program implementation, partner data systems, and on-ground capacity constraints.
• Support capacity-building of partner organisations and program staff on data collection practices, KPI tracking, knowledge management, and the use of the Foundation’s data tools. Required Qualifications and Experience
• Graduate or postgraduate degree in any discipline. Candidates from Statistics, Computer Science, Data Science,



Social Sciences, Development Studies, or related fields may find the role a natural fit, but the discipline of study is not a determining criterion.
• 3–7 years of overall professional experience, including experience working in, or closely with, the non-profit/development sector, with exposure to on-ground program implementation.
• A basic understanding of how data is structured and how forms, databases, and applications work, together with working comfort in spreadsheets. Prior coding experience is not required; the ability to specify, build, test, and refine a tool with the aid of AI-assisted development tools is.
• Demonstrated use of AI tools (e.g., Claude, ChatGPT, or similar) to produce outputs beyond text — such as analysis, forms, small applications, or automations — will be an advantage.
• Exposure to Frappe/ERPNext or comparable low-code platforms, mobile data collection tools (e.g., ODK, KoBo Toolbox, or similar), and/or dashboarding tools (e.g., Power BI, Tableau, Looker Studio) will be an advantage.
• Experience in capturing and tracking KPIs/monitoring indicators, and in knowledge management practices will be helpful. Skills and Competencies
• Curiosity and readiness to learn — the ability to pick up new tools, platforms, and methods without formal training, and the discipline to keep one’s own skills current as these tools change.
• Generalist orientation — comfort in moving between program content, data, and systems, and in taking a requirement from first conversation through to a working tool.
• Good communication and interpersonal skills — essential for working effectively across program teams, partners, and the IT team.
• Strong analytical skills and structured thinking, with the ability to break a program requirement into data fields, workflows, and outputs, and to translate between non-technical (program) and technical (IT) stakeholders.
• Problem-solving orientation, with ownership in driving issues to resolution.
• Ability to work independently and manage multiple stakeholders and priorities.
• Willingness to travel periodically to field locations across program geographies. Work Location
- Bangalore

📌 Data Analyst (Bengaluru)
🏢 Azim Premji Foundation
📍 Bengaluru