{"id":3335037,"url":"https://alion.io/job/wadhwani-ai-program-insights-reporting-trainee","title":"Program Insights & Reporting Trainee","company":{"id":178446,"name":"Wadhwani AI","domain":"wadhwaniai.org","url":"https://alion.io/company/wadhwani-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":7000,"max_usd":13000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false}],"status":"live","first_seen_at":"2026-10-27T13:26:55Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T02:00:59Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The Trainee - Program Insights & Reporting will support the Program Intelligence & Analytics (PI&A) function by ensuring that program and deployment data is converted into accurate, timely and actionable insights for the National Unit, CPO and leadership.\nThe role will work closely with Trainee - Program Intelligence (PI) Engineering & Dashboards and own the regular reporting cadence, consolidate data from programs and deployments, support KPI tracking, and conduct analytical deep-dives to help leadership understand performance, identify trends and make informed decisions. \n1. KPI tracking & performance reporting\nTrack program performance against the agreed PI&A KPI framework.\n\nConsolidate program, deployment and operational data into a common, visual reporting structure.\n\nMaintain accurate and up-to-date KPI trackers and performance reports and sharing structures.\n\nIdentify gaps, anomalies and emerging trends in program performance.\n\nEnable teams in improving the quality and timeliness of data submissions.\n\n2. Monthly MIS & leadership reporting\nCoordinate the monthly MIS cycle across programs and teams.\n\nSupport in preparing monthly leadership reports highlighting key performance indicators, trends, gaps and actions, and quarterly leadership and Board review packs.\n\nEnsure reports are accurate, consistent and delivered according to the agreed reporting calendar.\n\nDevelop concise narratives and visual summaries to communicate key findings to senior audiences.\n\n3. Analytical deep-dives\nConduct analytical deep-dives in response to questions from the CPO and program leads.\n\nAnalyse program, deployment and operational data to identify drivers of performance.\n\nTranslate data into clear findings, implications and decision points.\n\nSupport forecasting, scenario analysis and performance reviews where required.\n\nInvestigate unusual movements or discrepancies in reported performance.\n\n4. Data coordination & quality\nCoordinate timely data submissions from MEL, program and deployment teams, with follow ups to resolve missing, inconsistent or inaccurate data.\n\nPerform basic data validation and quality checks before information is incorporated into reports.\n\nMaintain documentation of reporting definitions, data sources and reporting processes.\n\nWork closely with the BI Engineering & Dashboards Associate to ensure reporting requirements are correctly translated into dashboards and automated reports.\n\n5. Cross-functional support\nWork with program teams to understand reporting needs and translate them into analytical outputs.\n\nCoordinate with Finance, Operations, MEL and other relevant functions where their data contributes to PI&A reporting.\n\nUse existing MEL indicators where relevant rather than creating duplicate data-collection requirements.\n\nSupport periodic portfolio performance reviews and other strategic analyses led by PI&A.\n\nRequirements\nEducation: MBA preferred; Bachelors/Masters degree in Business Administration, Computer Science, Data Analytics, Statistics, or a related field \nExperience: 0-2 years in program analytics, reporting, consulting, business analysis or a related field (relevant internship experience is an advantage for fresh graduates).\nStrong analytical and problem-solving skills, strong Excel / spreadsheet skills; familiarity with BI tools is an advantage.\nAbility to work with multiple datasets and identify patterns, trends and inconsistencies, turn quantitative analysis into clear, concise narratives for senior audiences.\nStrong written and verbal communication skills, attention to detail and ability to manage recurring reporting deadlines.\nComfortable working with program teams and coordinating inputs across multiple stakeholders.\nExperience in the development, public-sector, social-impact or other mission-driven environment would be an advantage.","description_format":"text","description_chars":3828,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Conversational AI","Nonprofits & 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