Analyst

Job Summary
Responsible for executing technical and statistical aspects of modeling and analytical projects and for ensuring that projects are delivered to the high-quality standards and timeline agreed with clients. This role will involve collaborating closely with commercial managers and being responsible for projects with guidance from senior analysts or managers.
Responsibilities
To execute daily modeling work including but not limited to data processing, model adjustment, result validation and ensure that clean, robust, and meaningful results are delivered in response to commercial brief.
To identify and solve quality and statistical data issues that may arise throughout the course of the project.
To manage the technical and statistical parts of analytical products
To participate in and contribute to customized projects and the development of innovative solutions to support functional and industry applications.
To support commercial teams in the initial project design and answer technical questions that may arise in results presentation to clients.
BA/BS in statistics/maths related background
Being familiar with Python is necessary.
Solid statistic knowledge and has capability to design new methodology.
Good understanding of frequently used Machine Learning Algorithm (e.g., decision tree, random forest, SVM, XGBOOST, network analysis, etc.)
Good analytical skills and problem-solving skills.
Effective communication and project management skills are needed.
Knowledge with R, VBA, SQL, Visualization tool (e.g. Power BI) would be a plus.
Experience using Spark/Pyspark would be a plus.
Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) would be a plus.
Experience using Arcgis or QGIS would be a plus.
Experience in FMCG / Retail industry would be a plus.

Skills
Python, SQL, Hadoop, Machine Learning, Power BI, Apache Spark, Project Management

Employment type
Full-time

Work arrangement
Hybrid