NymCard’s mission is to enable fintech and financial innovators to launch frictionless payment programmes with our modern infrastructure, at record speed. Our open API modern card issuing platform provides flexibility and control to issue cards, authorise transactions, and manage payment operations with just one integration and one partner.
We are a team of industry experts and technology innovators who take a dynamic approach to solving complex industry challenges. NymCard has an open and collaborative work environment and together we make up the NymCardian Nation. We power possibilities for our customers and each other by bringing the best talent together to do the best quality work we can.
The Role
We are hiring a Data Analyst join our Data & Analytics team in Hyderabad. Your mission is to turn raw payments transaction data into clear, accurate, and client-ready reports that help our partners understand how their card programs are performing.
You will work closely with Product, Engineering, Risk, Finance, and Client Success to build and maintain dashboards covering balances, clearing, authorizations, settlements, and more. Your insights will be used directly by clients to drive decisions, reconcile accounts, and monitor performance.
What You’ll Be Doing
- 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
What You Bring
- 3 to 6 years in analytics for fintech, payments, or banking with hands on financial datasets.
- Python expertise is required for data preparation, validation, automation, and analysis. You write clean, tested code and use virtual environments and package management.
- 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.
Bonus Points
- 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.
