Sr. Business Intelligence Analyst

FedEx•Chicago, IL

48d•Hybrid

About The Position

Provides data driven insights and analytical support in solving strategic and operational problems by working with large data sets and translating into actionable recommendations that will influence business decisions. This role partners to define new metrics and develop dashboards to manage these. At this level, the job will be responsible for ownership of the design and execution of experiments that support the business and product teams to formulate conclusions, even in situations with limited data. Develops strong working relationships with internal customers and works closely with them to understand and anticipate needs and opportunities. Provides data mining, managing, transforming, curating and general manipulation of data on pre and cloud-based platforms to ensure info is accurate and interpretable for analysis. Creates and owns actionable data visualization tools (reports, dashboards, based on identified metrics) to support business decisions for both corporate and operational needs. Conducts advanced and complex root cause and what if analysis, including predictive/prescriptive, feature experiments and statistical hypothesis testing. Provides ad-hoc/special project data analysis for business leaders, enabling them to achieve goals, drive decision making, impact new strategies and make improvements. Perform other duties as assigned.

Requirements

Bachelor's degree in quantitative fields such as Statistics, Mathematics, Computer Science, Economics/Econometrics or related disciplines plus 8 years of experience in the job offered or 8 years' experience in a quantitative analytical field including experience in predictive modeling / forecasting, statistical methods, operational analysis required.
The employer will alternatively accept a Master's degree in quantitative fields such as Statistics, Mathematics, Computer Science, Economics/Econometrics or related disciplines plus 6 years of experience in the job offered or 6 years' experience in a quantitative analytical field including experience in predictive modeling / forecasting, statistical methods, operational analysis in lieu of a Bachelor's degree plus 8 years of experience.
Exceptional analytical and problem-solving skills with data mining and data modeling
Advanced knowledge of building front-end dashboards using data visualization tools (Tableau, Spotfire, Power BI and/or d3.js)
Advanced knowledge of SQL to query large and complex data sets, test query results, and tune query performance
Advanced knowledge of statistical analysis for hypothesis testing and prediction (t-tests, ANOVA, regression, DOE)
Advanced knowledge of a data analytics programming language such as Python, R and/or SAS required
Advanced knowledge of ETL (Extract-Transform-Load) concepts for acquiring, cleansing and combining diverse and disparate data sets
Knowledge of predictive analytics and cloud-based platforms
Ability to effectively communicate complex ideas regarding data analysis in an understandable, clear and concise manner to audiences of various technical/data literacy
Strong presentation skills necessary to present information to management, end users, co-workers or vendors

Responsibilities

Provides data driven insights and analytical support in solving strategic and operational problems
Partners to define new metrics and develop dashboards to manage these
Ownership of the design and execution of experiments that support the business and product teams to formulate conclusions
Develops strong working relationships with internal customers and works closely with them to understand and anticipate needs and opportunities
Provides data mining, managing, transforming, curating and general manipulation of data on pre and cloud-based platforms
Creates and owns actionable data visualization tools (reports, dashboards, based on identified metrics)
Conducts advanced and complex root cause and what if analysis, including predictive/prescriptive, feature experiments and statistical hypothesis testing
Provides ad-hoc/special project data analysis for business leaders