Data Analyst – Technology
NymCard
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- Analyze millions of payment transactions to identify trends, detect anomalies, and uncover growth opportunities.
- Own reporting and dashboards for payments performance, customer behavior, and fraud signals.
- Translate messy, unstructured data into digestible insights for cross-functional teams.
- Collaborate with Product and Engineering to define event tracking and optimize the data pipeline.
- Deep-dive into card lifecycle data: activations, authorizations, settlements, declines, chargebacks, etc.
- Present findings clearly to both technical and non-technical stakeholders (no data dumps!).
- Act as a thought partner to business leaders on payments strategy, pricing, and customer experience.
- Drive experimentation and A/B testing to validate improvements across the product.
Requirements
- 4+ years of experience in analytics for fintech, payments, or banking with hands on financial datasets.
- Python expertise is required for data preparation, validation, automation, and analysis.
- Excellent SQL and data modeling skills for large normalized and star schemas.
- Experience with a modern warehouse such as Snowflake, BigQuery, or Redshift, plus dbt or a similar ELT framework.
- Working knowledge of IFRS concepts that affect data logic including revenue recognition, accruals, provisions, and foreign currency.
- Comfort reading scheme and processor files and tying them to the ledger, invoices, and settlement statements.
- Strong dashboarding in Power BI, Looker, or Tableau with clear definitions and refresh governance.
- Clean documentation habits and an eye for data quality, lineage, and ownership.
- Clear writing and steady stakeholder communication under deadlines.
- Nice to have: Experience with Airflow or Prefect for orchestration.
- Chargebacks data exposure and recovery analytics.
- Knowledge of unit economics and pricing analysis for B2B fintech.
- Basic statistical testing and cohort analysis in Python.
Benefits
- Hybrid working model: In-office collaboration for design reviews, workshops, and team days, with flexible remote time for deep work.
- Clear expectations on core hours and availability.
- Ownership and growth: Small teams and direct access to decision makers.
- End-to-end responsibility for your area, support for certifications and learning, and progression based on outcomes.
- Cross-border exposure: Work with clients and partners across MENA and beyond.
- Gain hands-on experience with schemes, banks, and regulators, and broaden your domain expertise.
- Real product and business impact: Build for a live issuing platform used by fintechs. See measurable results on performance and revenue within weeks, and celebrate wins backed by data.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata modelingA/B testingdata preparationdata validationdata analysisstatistical testingcohort analysischargebacks analytics
Soft Skills
communicationcollaborationpresentationdocumentationstakeholder managementanalytical thinkingproblem-solvingattention to detailtime managementstrategic thinking