{"id":4335027,"url":"https://alion.io/job/capri-global-capital-senior-data-analyst","title":"Senior Data Analyst","company":{"id":996,"name":"Capri Global Capital","domain":"cgcl.co.in","url":"https://alion.io/company/capri-global-capital","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-15T10:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-15T10:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a highly analytical and business-focused Data Analytics professional to drive Collections Analytics for a leading NBFC. This role will play a critical part in portfolio monitoring, delinquency analysis, collections strategy, performance optimisation, and data-driven decision-making across collections operations. The ideal candidate will have strong expertise in SQL, Python, Data Modelling, BI Visualisation, and Lending Analytics, along with deep domain knowledge of collections, delinquency management, and portfolio risk within Banking, NBFC, or FinTech environments.\n\nThe candidate will have responsibilities across the following functions: \n\nCollections Performance Analytics: \nAnalyse collection performance across products, geographies, agencies, and collection channels.\nMonitor and improve key collections metrics, including: Roll Rates, Cure Rates, Resolution Rates, Channel Efficiency, Promise-to-Pay (PTP) Effectiveness.\nIdentify operational leakages and opportunities to improve collection outcomes.\nGenerate actionable insights to optimize collections efficiency.\n\nPortfolio Monitoring and Risk Analytics: \nTrack delinquency movement across DPD buckets.\nPerform: Vintage Analysis, Cohort Analysis, and Flow Rate Analysis.\nMonitor early warning indicators and emerging portfolio risks.\nAnalyse borrower behaviour patterns leading to delinquency and defaults.\nSupport proactive portfolio risk management initiatives.\n\nDashboarding and Business Reporting: \nDevelop and maintain automated dashboards and MIS reports for leadership teams.\nBuild self-service reporting solutions using Tableau and modern BI tools.\nEnable real-time reporting and business visibility.\nEnsure data accuracy, consistency, and governance across reporting systems.\n\nCollections Strategy and Decision Support: \nPartner with collections strategy teams to drive segmentation and targeting initiatives.\nIdentify customer segments for differentiated collection treatments.\nMeasure the effectiveness of collection campaigns and recovery interventions.\nConduct A/B testing and impact analysis of collections strategies.\nRecommend data-backed improvements to collections processes.\n\nStakeholder Management: \nCollaborate closely with: Collections Operations, Risk Teams, Product Teams, Technology Teams, and Finance Teams.\nPresent analytical findings and recommendations to senior leadership.\nTranslate business problems into scalable analytical solutions.\n\nMust-Have Technical Skills: \nData and Analytics: Advanced SQL (Mandatory).\nStrong Python for Data Analysis and Automation.\nData Modelling and Data Warehousing.\nExperience handling large-scale datasets (millions of records).\nVisualisation and Reporting: Tableau, Power BI, Advanced Excel, Power Query, Pivot Tables, Advanced Formulas.\n\nDatabases and Data Platforms: \nExperience working with: Oracle, PostgreSQL, Hadoop/Hive.\nExposure to cloud data platforms such as Amazon Redshift and Snowflake.\n\nAnalytics and Modelling: \nStrong understanding of Classical Statistical Models.\nAdvanced Machine Learning concepts.\nPredictive Analytics.\nCollections Modelling.\nScorecard Development.\n\nDomain Expertise Required: \nStrong understanding of: Lending and Collections Lifecycle, Retail Lending Products, Delinquency Management, Portfolio Risk Monitoring, Recovery Analytics.\nHands-on experience with: DPD Buckets, Collections Workflows, Recovery Strategies, Portfolio Risk Metrics, and Collections Operations Analytics.\n\nData Engineering and Automation: \nExtract, transform, and analyse data from: Loan Management Systems (LMS), Collection Management Platforms, CRM Systems.\nAutomate recurring reports and operational dashboards.\nImprove reporting efficiency through scripting and workflow automation.\nPartner with Data Engineering teams to improve data quality and data availability.\n\nPreferred Experience: \nCandidates from NBFCs, Banks, Digital Lending, or FinTech companies with experience in: Personal Loans, Business Loans, Vehicle Loans, Home Loans, Credit Risk Analytics, and Collections Analytics.\nAdditional preference for candidates with exposure to: Collection Dialer Systems, Digital Collections Platforms, Predictive Recovery Models, Behavioural Risk Analytics.\n\nEducation: \nRequired: Bachelor's Degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or related quantitative discipline.\nPreferred: MBA / PGDM, Master's in Analytics, Data Science, Statistics, or related field.\n\nIdeal Candidate Profile: \n5-10+ years of experience in Analytics, Collections Analytics, Risk Analytics, or Lending Analytics.\nStrong SQL + Python expertise.\nDeep Collections / Delinquency Management domain knowledge.\nHands-on Tableau dashboarding experience.\nExperience working with large lending portfolios.\nAbility to influence business decisions through data-driven insights.\nSkills\nPower BI, Python, SQL, 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