Business Intelligence Analyst - Sr Business Intelligence Analyst

Federal Express Corporation•Moon Township, PA

4h•Remote

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 will understand and modify existing key business and operational metrics, assist in defining new metrics and develop dashboards to manage these. At this level, the job will be responsible for ownership of to 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. Essential Functions Manages, transforms and integrates data to ensure info is accurate and interpretable for analysis Conducts advanced and complex analysis using statistical and visualization techniques with large, complex data sets to translate results into actionable deliverables for business leaders Takes ownership in developing key business and operational metrics that support positive business outcomes. Provides business impact studies on all major initiatives and proposals ensuring focus on business impact. Builds dashboards, based on identified metrics, to support business decisions for both corporate and operational needs Conducts statistical hypothesis testing and proactive and predictive scenario analysis to evaluate outcomes of operational experiments 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 field such as: Statistics, Mathematics, Computer Science, Economics/Econometrics or related discipline is required. Additional related experience may offset degree requirements
Five (5) years’ experience required in a quantitative analytical field including experience in predictive modeling/forecasting, statistical methods, operational analysis required. Additional related skills, education/degree may offset experience requirements.
Exceptional analytical and problem-solving skills
Advanced knowledge of building front-end dashboards using data visualization tools (Tableau, Spotfire, Power BI and/or d3.js) required
Advanced knowledge of SQL to query large and complex data sets, test query results, and tune query performance required
Advanced Knowledge of statistical analysis for hypothesis testing and prediction (t-tests, ANOVA, regression, DOE, etc.) required
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 required
Ability to effectively communicate complex ideas regarding data analysis in an understandable, clear and concise manner
Strong presentation skills necessary to present information to management, end users, co-workers or vendors

Nice To Haves

Data Engineering - SQL (PostgreSQL)
ETL design (Extract, Transform, Load)
Software - SQL Operations, Python, JavaScript, TypeScript, Log Analytics, Agile (Development Methodology)
Azure - Azure Kubernetes Service (AKS), Azure DevOps (ADO), Azure Blob Storage, Azure Key Vault

Responsibilities

Manages, transforms and integrates data to ensure info is accurate and interpretable for analysis
Conducts advanced and complex analysis using statistical and visualization techniques with large, complex data sets to translate results into actionable deliverables for business leaders
Takes ownership in developing key business and operational metrics that support positive business outcomes.
Provides business impact studies on all major initiatives and proposals ensuring focus on business impact.
Builds dashboards, based on identified metrics, to support business decisions for both corporate and operational needs
Conducts statistical hypothesis testing and proactive and predictive scenario analysis to evaluate outcomes of operational experiments
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