Data Analyst with Data Engineer skills

Responsibilities:

Data Pipeline & Integration:

Develop and maintain ETL/ELT pipelines using Databricks and DBT.

Ensure seamless API and system integration with AI models, dealer portals, and diagnostic systems.

Data Management & Governance:

Handle structured/unstructured data on Azure cloud platform.

Manage SQL/NoSQL databases.

Ensure data quality, consistency, and compliance for AI decision-making.

Data Analysis & Insights:

Analyze patterns, detect fraud trends, and validate AI model decisions using statistical methods and A/B testing.

Provide business insights based on domain knowledge and risk indicators.

Visualization & Reporting:

Develop Power BI reports and datasets to track AI performance.

Monitor KPIs (auto-approval rates, false positives) and communicate insights to stakeholders.

Collaboration & Strategy:

Work closely with business teams to understand data needs.

Define data models and prepare requirements for data engineering.

Support continuous improvement of AI-driven decision processes.

Required Skills:

Databricks

DBT

Azure

AI

ETL/ELT

Power BI

Application:

Apply with your CV in English.