Trainee - PI Engineering & Dashboards
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026.
The Trainee - Program Intelligence (PI) Engineering & Dashboards will build and maintain the data pipelines, dashboards and automated reporting infrastructure that underpin the PI&A function.
The role will work closely with the Program Insights & Reporting Trainee to integrate data from product, field and finance systems, ensure that data is reliable and accessible, and develop dashboards that provide leadership and program teams with timely visibility into performance.
1. Data integration & pipelines
Integrate data from product, field, program and finance systems.
Build and maintain data pipelines required for recurring PI&A reporting.
Transform and structure data for use in dashboards, MIS and analytical outputs.
Ensure data flows reliably from source systems into reporting environments and dashboards.
Work with data owners to understand source-system definitions and resolve data issues.
2. Dashboard development
Develop and maintain leadership and program dashboards.
Translate reporting and analytical requirements into intuitive dashboard designs.
Build dashboards that enable users to monitor KPIs, trends and performance in near real time where appropriate.
Ensure dashboards are easy to navigate and provide the right level of detail for different users.
Maintain and improve existing dashboards based on user feedback and evolving program requirements.
3. Automated reporting & data quality assurance
Automate recurring reports and data refreshes with reliable reporting schedules and data-refresh routines.
Support automation of the monthly MIS and other recurring reporting processes to reduce manual data consolidation and reporting effort.
Monitor automated processes and resolve refresh or pipeline failures, with regular data-quality checks across source and reporting datasets.
Identify and troubleshoot data discrepancies, missing data and pipeline errors.
Maintain documentation for data sources, transformations, metrics and dashboards.
Establish clear data definitions and ensure consistent KPI calculations.
4. Data access & governance
Manage dashboard and data access in line with DPDP rules and internal data policies.
Ensure appropriate permissions for different user groups. Train program teams to use dashboards, write short user guides, and gather structured feedback
Maintain data documentation and lineage for key reporting datasets.
Support the PI&A function in maintaining consistent data standards across programs.
Requirements
Education: Bachelor/Masters in Data Analytics, Computer Science, Physics, Statistics and Mathematics, an Engineering Discipline, or equivalent industry experience.
Experience: 0-2 years in BI, data engineering, business intelligence, analytics or a related field (internship experience in related fields is an advantage for fresh graduates).
Strong working knowledge of SQL/MySQL.
Experience with Power BI, Tableau, QuickSight, Metabase, Qlikview, Looker Studio or a similar BI platform.
Familiarity with Python for data manipulation/automation.
Basic understanding of data modelling, databases and data pipelines.
Strong problem-solving and troubleshooting skills, attention to detail and commitment to data quality.
Ability to translate business/reporting requirements into practical technical solutions.
Ability to work collaboratively with non-technical program and functional teams.
Experience in the development, public-sector, social-impact or other mission-driven environment would be an advantage.