SR ANALYST DECISION ANALYSTICS

Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Senior Decision Analysts assist in the development of advanced analytics to support the company's strategic objectives.

This role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online, and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. Responsibilities include creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross-functional teams to deliver high-quality analytical solutions. The Senior Decision Analyst monitors data transformation and works with technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations.

Responsibilities

• Data Analytics (65%) - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports, and ad-hoc requests using GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
• Management of Data (10%) - Collaborates with other decision analysts to explore new data sources; cleanses, validates, and tests data.
• Project Management & Support (5%) - Supports end users, solves problems, and troubleshoots issues.
• Solution Development (15%) - Collaborates with stakeholders, business partners, colleagues, developers, and business analysts to deliver high-quality analytics solutions.
• Technical Exploration & Development (5%) - Develops additional technical competencies and subject matter expertise, including enhancements/modifications to systems and procedures.

Qualifications

Minimum Qualifications

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.
• Bachelor’s degree in a field related to the job (e.g., Statistics, Analytics, Computer Science) or equivalent experience.
• 5+ years of work experience.

Preferred Qualifications

• Master’s degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience.
• 6+ years of experience in data mining, statistical analysis, auditing, and/or forecasting.
• Demonstrated expertise in data analysis, data visualization, and translating analysis into effective presentations.
• Experience utilizing data analysis to identify key insights that solve business problems.
• Proficiency in database applications, analytical tools, and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle, and similar tools.
• Working knowledge of Microsoft Excel and PowerPoint.
• Experience managing requests and roadmaps for insights for online merchandising, marketing, and ELT organizations.
• Ability to produce deep, statistical analysis in service of predictive insights.
• Ability to partner with requesting organizations to build KPI frameworks.
• Coding proficiency in Python, R, SQL, Jupyter Notebook, VertexAI, and AutoML.
• Experience visualizing data using Tableau.
• Experience managing multiple projects in a fast-paced environment.
• Critical thinking skills to identify strengths and weaknesses of alternative solutions and foresee implications of new information.
• Strong written and verbal communication skills; ability to persuade, inform, and influence others based on findings.
• Superior interpersonal skills and ability to collaborate actively in a team environment.
• Ability to quickly learn and adapt to new technologies, tools, and techniques.

Skills

• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Conflict

Schedule

• No travel required.

Physical Requirements

• Most of the time is spent sitting in a comfortable position with frequent opportunity to move about.
• On rare occasions, there may be a need to move or lift light articles.

Working Conditions

• Located in a comfortable indoor area.
• Any unpleasant conditions would be infrequent and not objectionable.