Site Data Analyst responsible for optimizing data reporting and insights in vertical shaft sinking operations within US mining projects. Collaborating with teams for data - driven decision - making.
About the role
- Senior Personalization Analytics Analyst leading development of statistical and machine learning models. Providing analytical support to marketing teams and managing projects with IT partners.
Responsibilities
- Lead the development, testing and curation of statistical and machine learning models
- Provide analytical and technological support and consultation to key partners within the marketing organization
- Manage each project and code base in Github
- Lead working groups and participate in steering committees with IT partners
- Create dashboards or decks to provide recommendations
- Provide high level data driven insights that confirm or refute our partner’s hypothesis
Requirements
- Bachelor’s Degree in relevant field
- Experience coding in general purpose languages, e.g. Java, Python, C++
- Experience developing, testing, and curating statistical and machine learning models
- Experience using traditional RDBMS, e.g. Teradata, MSSQL Server
- Experience using cloud offerings, e.g. Azure, AWS, GCP
- Experience using software version control, e.g. Github
- Experience using any flavor of the Apache Hadoop Framework, e.g. Hortonworks, Cloudera, MapR
- Strong oral and written communication skills, including experience with data visualization technologies such as Jupyter Notebooks, R Shiny, and Tableau
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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