Job description
You will collaborate with case teams to gather requirements, specify, design, develop, deliver, and support analytics solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics tools and processes to build high quality and efficient solutions. Overall fluency in either of Python or R: ability to read, create, debug and package code, being comfortable using either of Pycharm, R-Studio, Visual Studio or any other IDE SQL scripting, ability to collect data from relational databases, e.
g. PostgreSQL, MySQL, MSSQL etc.) Data wrangling with Python (pandas) or R Hands on statistical inference using Python, R as well as MS Excel extensions Experience in data visualization and presentation using either of Tableau, PowerBI, QlikView, Dash, Self-learning and quick ramping in previously unfamiliar technological stack if needed Experience in building scalable production ready dashboards and web applications using Python or JS frameworks e.
g. either of Django, Flask, React, Vue, Angular etc. Experience with proprietary low-code data wrangling, predictive analytics and modelling tools (either of Alteryx, Knime, Dataiku, SAS, SPSS etc.) Experience with customer analytics, pricing optimization, predictive maintenance, supply chain optimization, network optimization, workforce allocation, smart manufacturing and related topics in a global organization or professional services is preferred Experience in Geo.
Analytics using Python or specialized solutions is a plus First experience in simulation modelling and optimization approaches (Operations Research / Linear Programming / Mixed Integer Programming) Knowledge of dedicated optimization and simulation tools (AIMMS, LLamasoft, Gurobi, Any. Logic) is a plus Programming and/or scripting experience a plus: SQL, C#, Perl, Spark, VBA Experience with big data environments a plus: Amazon Redshift, Hadoop/HIVE, Teradata Experience with collaboration tools & ticketing systems (e.
g. JIRA, Confluence, GitHub) is preferred Bachelor's / Master's degree related to computer science, data engineering, data science, statistics, mathematics, or economics is required Previous Internship experience in the domain of Advanced Analytics Fluent written and spoken English (other languages desirable)