Data Analyst

Role Overview:

Fintech Analytics professional

Key Responsibilities:

• Modernize fintech reporting and data flows

  by transitioning from legacy/manual frameworks to automated and alternative data ecosystems.

• Own the roadmap for integrating alternative data sources

  , including payments, digital wallets, APIs, and credit bureau data.

• Design and implement API-based data ingestion pipelines

  to enable scalable, secure, and efficient data exchange across fintech systems.

• Reverse-engineer existing data and reporting architectures

  , identifying bottlenecks and opportunities for automation and optimization.

• Map fintech business rules and operational logic

  into unified data schemas to ensure consistency, traceability, and regulatory compliance.

• Drive risk mitigation and compliance reviews

  , ensuring that all data flows meet internal governance and external regulatory standards.

• Identify data gaps and transformation requirements

  , collaborating with engineering, compliance, and product teams to align solutions with business objectives.
• Partner with cross-functional stakeholders to deliver actionable data insights that improve decision-making and enhance operational efficiency.

Required Skills & Experience:

• 5–10 years of experience in

  Fintech Analytics, Data Engineering, or Data Strategy

  roles.
• Proven experience in

  data automation

  ,

  API-based integrations

  , and

  data flow optimization

  .
• Strong understanding of

  fintech ecosystems

  (payments, lending, wallets, credit bureaus, regulatory data).
• Hands-on expertise in

  SQL, Python, and data visualization tools

  (Power BI, Tableau, or similar).
• Familiarity with

  data governance frameworks

  ,

  compliance protocols

  , and

  risk management

  practices.
• Excellent analytical, problem-solving, and stakeholder management skills.
• Ability to translate complex business processes into scalable technical data solutions.

Preferred Qualifications:

• Experience working in

  financial services, fintech platforms, or digital banking environments

  .
• Knowledge of

  cloud data architectures

  (AWS, Azure, GCP) and

  modern ETL tools

  .
• Exposure to

  regulatory data standards

  (RBI, PCI-DSS, KYC/AML, etc.).
• Background in

  data modeling

  ,

  metadata management

  , or

  data lineage documentation

  .