Varsha C
Data Analyst (Analytics Engineer) @Bees & Bears GmbH
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WORK HISTORY
Data Analyst (Analytics Engineer) @Bees & Bears GmbH
Berlin, DE
Data Platform & PipelinesBuilt end-to-end data pipelines (Django → DLT → Postgres → dbt) enabling reliable analytics across product, risk, and operationsIntegrated multiple sources (Taktile, HubSpot, internal systems) into a unified warehouse🧠 Data ModelingDesigned dbt models for lending analytics (offers, buyers, installers, cohorts)Created analytics-ready datasets for funnel tracking, retention, and performance Risk & Credit AnalyticsDeveloped KPIs for credit performance (default rates, prepayments, first missed payments)Analyzed credit data (Schufa, DSTI) to support decision-making Financial AnalyticsBuilt amortization and contract tracking logic for loan portfoliosEnabled reporting on outstanding principal, arrears, and payment behavior Dashboards & ImpactDelivered Tableau dashboards used by management and investor reportingTranslated complex datasets into actionable insights AutomationAutomated reporting workflows using Apps Script and SQL pipelinesImproved performance of large-scale Sheets models (~20k+ rows)
EDUCATION
University of Portsmouth
Bachelor of Applied Science - BASc, Applied Physics
ABOUT VARSHA C
I’m an Data Analyst/Analytics Engineer working at the intersection of data, credit risk, and financial operations.I design and own end-to-end data systems that power lending decisions, operational workflows, and investor reporting — from raw data ingestion to business-facing dashboards.Currently, I focus on:• Building scalable data pipelines (DLT, Postgres, dbt)• Modeling lending and risk data (offers, approvals, defaults, cohorts)• Creating analytics layers for decision-making (Tableau, Google Sheets)• Supporting credit and operations teams with actionable insightsMy work includes:Loan and amortization modelingCredit decisioning analytics (Schufa, DSTI, approvals/rejections)Funnel and cohort analysis across customers and partnersFinancial KPIs such as defaults, prepayments, and retentionWhat sets me apart is my ability to connect:data → business logic → real decisionsI enjoy working in fast-paced environments where data is messy, ownership is high, and impact is immediate.Open to roles in:Analytics Engineering • Data Product • Fintech • Startups
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