Role Overview
The Senior Data Analytics Engineer will lead analytical initiatives, build and deploy AI/ML models, and deliver enterprise-grade dashboards to senior leadership. The role requires 5+ years of experience in data analysis, business intelligence, or a related analytics role.
What You Will Do
The engineer will analyze large, complex datasets, automate recurring reporting workflows, design and implement scalable analytics platforms, and collaborate with finance and accounting teams to automate reconciliations and variance analysis.
Why It Might Be a Fit
The ideal candidate will have strong analytical skills, experience with Python, Power BI, and SQL, and a proven track record of leading analytical initiatives and delivering business insights to senior leadership.
Requirements
- Bachelor’s degree in data science/analytics or Engineering in Computer Science, or related quantitative field
- 5+ years of hands-on experience in data analysis, business intelligence, or a related analytics role
- Proven track record of leading analytical initiatives, building and deploying AI/ML models, and delivering enterprise-grade dashboards to senior leadership
- Strong proficiency in Python for data manipulation, statistical analysis, and visualization
- Expert-level skills in Power BI and/or Tableau
- Extensive hands-on experience building, validating, and deploying predictive, classification, and clustering models using frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
- Advanced SQL skills for querying complex datasets across multiple sources
- Familiarity with Microsoft Fabric and its integration within modern data ecosystems, Azure Data Factory, or similar cloud-based platforms
- Knowledge of Git, CI/CD pipelines, and DevOps practices for reproducible and scalable analytical workflows
To apply for this job please visit wk.wd3.myworkdayjobs.com.
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