Analyst, Data Modeling
Core
Execute technical and statistical aspects of modeling and analytical projects to deliver clean, robust, and meaningful results in response to commercial briefs.
Role type
Mid-level data analyst (modeling & statistics)
Builds
Customized analytical products and innovative solutions for functional and industry applications
Domain
Consumer intelligence / Retail / FMCG
Deliverable
production ML models
Required skills
Python, statistical methodology design, Machine Learning algorithms (decision tree, random forest, SVM, XGBOOST, network analysis), data processing, result validation
Preferred skills
R, VBA, SQL, Power BI, Spark/Pyspark, distributed computing (Map/Reduce, Hadoop, Hive), Arcgis, QGIS
Technologies
Python, R, VBA, SQL, Power BI, Spark, Pyspark, Hadoop, Hive, Arcgis, QGIS
Responsibilities
Execute daily modeling work including data processing, model adjustment, and result validation; Identify and solve quality and statistical data issues; Manage technical and statistical parts of analytical products; Support commercial teams in initial project design and technical questions for client presentations
Seniority
Mid-level, hands-on IC
