Proficiency in advanced analytical techniques (machine learning, optimization)
Experience with analytical tools (Python, R, Matlab)
Familiarity with distributed computing tools (Hadoop, Hive, Spark)
Ability to translate business needs into analytics solutions
Strong communication skills for technical and non-technical discussions
Responsibilities
Gather and translate business requirements into analytical solutions
Design, prototype, and build solutions for use cases using advanced analytics
Ensure quality and robustness of analytics tools and methods
Collaborate with Data Engineers on data modeling and testing
Maintain frequent communication with stakeholders to manage expectations
Provide technical guidance to business functions on advanced analytics models
Develop and share best practices for analytics across the team
Benefits
Opportunity to lead advanced analytics initiatives
Professional development through conferences and new topic investigations
Collaborative environment with cross-functional teams
Access to state-of-the-art analytics tools
Opportunity to contribute to building advanced analytics capabilities
Full Job Description
Mission:
Use the data prepared by the Data Engineer to run analysis using different tools and methodologies and provide the Advanced Analytics outputs needed to solve the business problem
Draw insights from large or complex data sets to solve business problem tackled with use case
Help driving advanced analytics thinking and methodologies by investigating various topics and sharing insights with broader Advanced Analytics and business stakeholders
Tasks & responsibilities:
Gather business requirements, translate them into information solutions and identify required data structures and apply strong expertise in advanced analytics techniques (e.g., machine-learning) to design, prototype, and build solutions to use cases
Ensure robustness and quality of analytics tools & methods used in projects
Collaborate with Data Engineer to support the data modelling and testing during projects
Ensure frequent communication with other stakeholders to drive use case solution with business focus and manage expectations on possibilities and lead times
Collaborate with business ([function]) to provide technical guidance related to advanced analytics models
Develop best practices for analytics (models, standards, tools) and share learnings with peers
Contribute to build further the advanced analytics capabilities of Advanced Analytics, attending conferences, allocating time to investigate new topics, etc.
Knowledge & experience:
5+ years of experience in a statistical and/or data science role
Expertise in advanced analytical techniques such as descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, segmentation analysis, etc.
Experience using analytical tools and languages, e.g., Python, R, Matlab, etc.
Experience working with large data sets and distributed computing tools (e.g., Hadoop, Hive, Spark, ...)
Knowledge of industry and ability to translate business needs into advanced analytics solutions
Communication skills for highly technical discussions as well as understanding the needs of less technical stakeholders
