{"id":1277373,"url":"https://alion.io/job/nexthire-epaylater-data-science-analytics","title":"Epaylater-Data Science Analytics","company":{"id":3806529,"name":"NextHire","domain":"nexthireconsulting.com","url":"https://alion.io/company/nexthire","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":9000,"max_usd":23000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":848},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-09T05:07:43Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-01T09:24:31Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Data Analyst | 2+ years | Fintech\n2+ YearsMumbaiAbout ePayLater ePayLater enables customers to “Buy Now, Pay Later” for purchases made across online and offline platforms. As a fast-growing fintech organization, we are building innovative payment solutions that simplify customer experiences and drive financial inclusion.\nWe are looking for a highly analytical and data-driven professional who can help strengthen our analytics capabilities, build scalable data solutions, and contribute to business growth through actionable insights and predictive decision-making.\nKey Responsibilities\nDefine, manage, and continuously refine the analytics roadmap aligned with business objectives.\nBuild, deploy, and maintain scalable data infrastructure, including data warehouses and data marts.\nDevelop and maintain predictive models and scoring infrastructure to support decision-making systems.\nIdentify opportunities to leverage alternate data sources for improving predictive capabilities.\nPartner with cross-functional business teams to design and execute experiments focused on:Customer acquisition\nChurn reduction\nDelinquency control\nProfitability improvement\n\nGenerate actionable insights through automated reporting, dashboards, MIS, and analytical queries.\nMonitor model and business performance metrics and recommend optimization strategies.\nEnsure data accuracy, consistency, and reliability across reporting systems.\nRequirements\n2+ years of hands-on analytics experience in a fintech, financial services, startup, consulting, or related environment.\nStrong proficiency in SQL and Python.\nGood understanding of analytical problem-solving frameworks and data-driven decision-making.\nHands-on experience with data management, deployment, and performance monitoring frameworks.\nExposure to experimentation methodologies such as A/B testing or test-and-learn approaches.\nAbility to work with large datasets and derive meaningful business insights.\nStrong communication and stakeholder management skills.\nSelf-driven, detail-oriented, and comfortable working in a fast-paced environment.\nPreferred Skills\nExperience in fintech, lending, BNPL, or risk analytics domains.\nFamiliarity with BI/reporting tools and dashboarding platforms.\nKnowledge of predictive modeling, customer analytics, and behavioral scoring models.\nWhy Join Us?\nOpportunity to work in a rapidly growing fintech ecosystem.\nExposure to high-impact business and data-driven decision-making.\nCollaborative and entrepreneurial work environment.\nOpportunity to build scalable analytics systems from the ground up.\nLocation: Vikhroli, Mumbai Experience: 2 years and above","description_format":"text","description_chars":2632,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Machine Learning","Vacation Rentals"],"lifecycle":[{"event":"open","at":"2026-09-26T02:09:57Z"}],"liveness":{"score":49,"band":"ok","label":"Likely open","p_open":1,"p_active":0.658,"p_room":0.75,"age_days":22,"expected_fill_days":30,"reasons":["conf:15","win:late","comp:junior"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nexthire-epaylater-data-science-analytics","json_url":"https://alion.io/job/nexthire-epaylater-data-science-analytics.json","meta":{"generated_at":"2026-10-01T11:25:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3089,"day_limit":5000,"remaining_today":1911,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}