Job Title: Data Analyst
Reporting To: Project Manager / MIS Lead
Location: Delhi
Language Required: Hindi & English (Reading, Writing, Speaking)
Employment Type: Full-time / Contractual
JOB SUMMARY
The Data Analyst is responsible for data analysis, operational analytics, AI-assisted reporting, trend analysis, dashboard monitoring, cess monitoring analytics, beneficiary data review, fraud/anomaly detection support, and generation of analytical insights for operational and management purposes. Maintain professional behaviour, ethical conduct, and respectful communication with staff, officials, and beneficiaries at all times.
The role supports the Centralized Monitoring Unit (CMU) in driving data-informed decision-making for all KSK Centres, Mobile KSK Units, and Labour Chowks across Delhi.
KEY RESPONSIBILITIES
1. DATA ANALYSIS
Perform in-depth data analysis on beneficiary registrations, smart-card issuance, renewal rates, and scheme enrolment
Analyze operational data from all KSK Centres, Mobile KSK Units, and Labour Chowks in Delhi
Identify key trends, patterns, and outliers in large datasets
2. OPERATIONAL ANALYTICS
Provide operational analytics to support day-to-day decision-making
Analyze centre-wise and chowk-wise performance metrics against targets
Generate insights to improve field-level efficiency and worker outreach
3. AI-ASSISTED REPORTING
Leverage AI-assisted reporting tools for automated data processing
Work with technical teams to implement machine learning models
Ensure AI-generated reports are accurate, validated, and actionable
4. TREND ANALYSIS
Conduct trend analysis on:
oWorker registration patterns (seasonal, weekly, daily)
oSmart-card issuance and delivery timelines
oWelfare scheme enrolment trends
oRenewal rate fluctuations
oPrepare trend reports with visualizations for management review
5. DASHBOARD MONITORING
Monitor real-time operational dashboards for data accuracy
Identify dashboard anomalies and coordinate with MIS team for resolution
Suggest dashboard improvements based on analytical needs
6. CESS MONITORING ANALYTICS
Analyze cess collection and utilization data with DBOCWWB
Track cess-to-welfare conversion ratios and identify discrepancies
Generate monthly cess analytics reports for stakeholders
7. BENEFICIARY DATA REVIEW
Conduct regular reviews of beneficiary data for quality and completeness
Perform deduplication, validation, and verification of worker records
Flag incomplete or incorrect records for field team follow-up
8. FRAUD / ANOMALY DETECTION SUPPORT
Assist in fraud and anomaly detection:
oIdentify duplicate or fake beneficiary registrations
oFlag unusual patterns in smart-card issuance
oDetect irregularities in centre-wise performance data
oSupport audit teams with data extracts and analytical evidence
9. GENERATION OF ANALYTICAL INSIGHTS
Generate actionable insights for operational and management purposes
Prepare presentation-ready reports, charts, and dashboards
Present findings in both Hindi and English as required
10. QUALIFICATIONS & EXPERIENCE
Education: Bachelor's in Statistics / Mathematics / Economics / Computer Science / IT (Master's preferred)
Experience: 2-5 years in data analysis or business analytics
Technical Skills: Advanced MS Excel (Pivot, VLOOKUP, Power Query) - Mandatory, SQL (queries, joins, subqueries) - Mandatory, Power BI / Tableau – Mandatory
Language: Fluent Hindi & English (Bilingual reporting - Mandatory)
11. KEY COMPETENCIES
Analytical Thinking - Derive insights from complex datasets
Attention to Detail - Zero tolerance for data errors
Technical Proficiency - Excel, SQL, Power BI, AI tools
Bilingual Communication - Hindi & English presentations
Problem Solving - Root cause analysis of anomalies
Stakeholder Management - CMU, DBOCWWB, NIC, field teams
Proactive Mindset - Identify issues before they escalate
12. WORKING CONDITIONS
Office-based at CMU, Delhi (occasional field visits)
6-day work week
High-volume data processing environment
Regular interaction with MIS team, field staff, and government officials
13. KEY PERFORMANCE INDICATORS (KPIs)
KPI
Target / SLA
Data analysis reports delivered
100% On-Time
Trend analysis reports (monthly)
1 per Week / 4 per Month
Dashboard monitoring uptime/accuracy
99.5%
Anomaly detection flagged
Within 24 Hours
Fraud detection support cases
100% Resolved
Cess analytics reports
Monthly, On-Time
AI-assisted reports accuracy
≥95%
Stakeholder satisfaction
≥4.5/5
Pay: ₹25,000.00 - ₹30,000.00 per month
Work Location: In person
