Senior Data Analytics Engineer (5+ years only with Python, Power BI, SQL)
Core
Architect enterprise-grade Power BI dashboards, build predictive ML models, and automate financial reporting using Python and GenAI to support strategic decision-making in finance.
Role type
Senior Data Analytics Engineer (Finance Domain)
Builds
Enterprise dashboards, predictive ML models, automated financial reporting workflows, and GenAI assistants
Domain
Finance / Data Analytics / Machine Learning
Required skills
Python (Pandas, NumPy, Scikit-learn, XGBoost), Power BI (DAX, Power Query), SQL, Data Modeling, Feature Engineering, Model Deployment, GenAI (LangChain, OpenAI APIs)
Preferred skills
PySpark, Microsoft Fabric, Azure Data Factory, TensorFlow, PyTorch, Tableau, Finance domain background
Technologies
Python, Power BI, SQL, Scikit-learn, XGBoost, TensorFlow, PyTorch, LangChain, OpenAI APIs, Azure OpenAI, Microsoft Fabric, Azure Data Factory, Git, CI/CD
Responsibilities
Architect and maintain enterprise-grade interactive dashboards in Power BI; Analyze large datasets to identify trends and inform strategic decisions; Automate financial reporting and narrative generation using Python and GenAI; Build and deploy predictive, classification, and clustering models; Mentor junior analysts and guide cross-functional data projects; Collaborate with data engineering teams on data governance and quality.
Seniority
Senior, hands-on IC