Federal Express Corporation is seeking to solve complex business problems by leveraging vast quantities of data, enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives. The role aims to develop advanced analytical solutions using expert knowledge of customer, market, and internal business data to derive actionable insights and recommendations for business partners and management.
Requirements
- computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g., Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc.
- Subject matter expertise in descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills.
- Subject matter expertise in analytical/modeling language knowledge.
- Advanced statistical analysis knowledge, and other quantitative analysis of complex business situations.
- Utilize computer programs or packages to analyze data and support business decisions.
- Familiarity with relational databases like Teradata and Oracle.
- Ability to manipulate large data sets using SAS, SQL, Python, C, VB.net, Java, JavaScript, R and Cloud Technology.
Responsibilities
- Provides dynamic leadership at the enterprise level related to vast quantities of data, enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives.
- Uses expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop advanced analytical solutions to ambiguous and very highly complex business problems.
- Breaks down ambiguous problems into manageable data science tasks, creating and executing data-driven solutions, and communicating results effectively to a diverse audience.
- Provides thought leadership, leading cross-functional teams, and making expert use of current and emerging technologies to derive actionable insights and recommendations for business partners and management.
- Breaks down highly ambiguous and complex problems into well-defined data science/analytics tasks that can be solved with data and modeling/analytical approaches.
- Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences.
- Provides thought leadership and leads cross-functional and cross company teams in the more advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.
Other
- Acts independently on behalf of the department
- Ability to communicate highly complex information in an understandable manner to both technical and non-technical audiences at all levels.
- Ability to regularly prepare and formally present recommendations to leadership.
- Strong project leadership skills.
- Ability to mentor lower levels.
