Corporate Data Analytics and Reporting Analyst I

Analytics and Technical Acumen: Performs required analysis, applies accepted statistical methodologies where applicable, and documents the process that was followed and data sources/tools used.

• Determines what kind of analytics will be performed (descriptive, predictive, prescriptive) and defines/documents overall framework.
• Where appropriate, applies linear regression (correlation, contingency table, ANOVA, inference, chi-square, t-test) and/or time series methods (data set-up, conversions, trends, decomposition, models, forecasts, confidence).
• Utilizes appropriate tools to load, integrate, and analyze data.
• Conducts analysis and documents findings, identifies unexpected anomalies and root cause (if possible) and determines if analysis can continue, identifies alternatives if anomalies cannot be resolved
• Ensures reproducibility of outcomes.
• Documents entire analysis process, including business problem, data sources, methods and tools used, project reference, and outcomes.
• Implements pre-emptive actions, where possible.

Project Definition and Coordination: Lead meetings with internal and external customers to clearly articulate and define business problem(s) of medium/high complexity and impact (department/function specific, external customer centric, or part of a corporate project).

• Types of projects include descriptive and predictive analytics.
• Applies a whole company perspective, draws upon previous knowledge and experience, and -- where necessary -- researches new/other approaches to identify and agree upon objectives, approach, and success measures.
• Works with customer to submit appropriate paperwork (ISS, TPDR, etc.) and ensures necessary agreements are in place for external customers.
• Defines delivery milestones and negotiates timeframes, monitors progress, and periodically notifies customer of status.