Working Student, Finance Data & Analytics

Recare

Working Student Finance Data & Analytics at Recare focusing on analyzing financial data and developing dashboards to support decision-making. Opportunity for flexible hours and remote work while studying.

Posted 7/9/2026part-timeRemote • 🇩🇪 GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in financial data analysis, dashboard creation, and reporting optimization, with strong skills in SQL, Python, and Excel. Capable of supporting FP&A processes and collaborating with cross-functional teams to drive data-driven decision-making.

Highest-signal resume keywords

Advanced SQLPython ProgrammingDashboard DevelopmentFinancial Data AnalysisLooker Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonExcelGoogle SheetsData AnalysisFinancial ReportingData MigrationReconciliationAutomationData Pipeline Development

Soft Skills

CuriosityStructured Problem-SolvingReliabilityDiscretion with Financial DataClear Communication

Tools & Technologies

LookerAbacumClaudeGoogle AppScriptSnowflakeCRM SystemsERP SystemsAccounting Systems

Industry Keywords

FinanceBusiness IntelligenceData AnalyticsFP&AGDPR Compliance

Tech Stack

Tools & technologies

CloudERPPythonSQL

About the role

Key responsibilities & impact

Contribute to key Finance initiatives by analyzing financial data, developing dashboards, optimizing reporting processes, and supporting strategic projects such as system implementations and data migrations
Provide stakeholders with reliable insights that enable informed, data-driven decision-making across the business
Hands-on analyst turning raw exports (e.g. DATEV, CRM) into clean tables and actionable insights
Shape lightweight data pipelines (SQL/Sheets), definitions, and documentation for self-service key views
Support FP&A on forecasts, ad-hoc deep dives, and tool introductions/data migrations (mapping, test cases, reconciliation)
Ensure smooth month-/year-end support with simple reconciliations
Create and maintain dashboards using Abacum, Looker or Claude, and develop simple automations to enhance productivity and reduce manual workload
Analyze revenue, usage, and spend trends and communicate findings clearly
Accompany cross-functional analysts (Product, Sales, Marketing, Revenue Ops) to align on metrics and data standards

Requirements

What you’ll need

Current enrollment in a Bachelor’s/Master’s program (Data, Computer Science, Engineering, Math, Economics or similar)
Available 15–20 h/week
Previous internship or working student experience in Data, Analytics, BI, Finance Systems, or similar analytical and technical role
Advanced in SQL/Python and Excel/Google Sheets
Curiosity, structured problem-solving, reliability, and discretion with financial data (GDPR aware)
Think in systems and process improvements; like tidy schemas, clear definitions, and reproducible work
Tech-savvy; experience with Looker (or similar BI tools), Google AppScript and cloud warehouses (Snowflake)
Communicate clearly in English (B2+); German is a plus
Experience with CRM, ERP, or Accounting systems (e.g. Salesforce, HubSpot, NetSuite, DATEV or similar) is nice to have

Benefits

Comp & perks

Flexible working hours that fit well around your studies
Option to work remotely
Edenred card
Extra vacation day on your birthday