Sage
Healthcare
SeniorAnalyticsEngineer,ClientEngagement
“Senior Analytics Engineer, Client Engagement at Sage. Skills: Analytics Engineering, Data Engineering, Business Intelligence, Client Engagement. Develop and maintain data pipelines. Build and optimize data models”
Industry & Context.
Data analysis; Troubleshooting data issues
What They're Looking For.
Must Have
4-8 years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, Proficiency in SQL, Experience with Python or R
Nice to Have
Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Develop and maintain data pipelines
Build and optimize data models
Create and manage BI dashboards
Collaborate with stakeholders to understand data needs
Ensure data quality and integrity
Implement data solutions
Analyze complex datasets
Support client engagement through data insights
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Client stakeholders
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