Tapestry SkillbridgeAnalyst - Data

The following is a course list for our Data Analyst career shadowing opportunity.Week 1: Introduction to Data AnalysisDay 1–2: Orientation and company overviewDay 3–5: Introduction to data analysis roles and responsibilitiesDay 6–7: Overview of data policies and proceduresWeek 2: Data Collection and CleaningDay 1–2: Understanding data sources and typesDay 3–5: Techniques for data collectionDay 6–7: Data cleaning and preprocessing methodsWeek 3: Exploratory Data Analysis (EDA)Day 1–2: Introduction to EDA conceptsDay 3–5: Using statistical tools for EDADay 6–7: Visualizing data with charts and graphsWeek 4: Data VisualizationDay 1–2: Principles of effective data visualizationDay 3–5: Tools for creating visualizations (e.g., Tableau, Power BI)Day 6–7: Creating dashboards and reportsWeek 5: Statistical AnalysisDay 1–2: Basics of statistical analysisDay 3–5: Descriptive and inferential statisticsDay 6–7: Hypothesis testing and regression analysisWeek 6: SQL and Database ManagementDay 1–2: Introduction to SQLDay 3–5: Writing SQL queriesDay 6–7: Managing databases and data warehousingWeek 7: Programming for Data AnalysisDay 1–2: Introduction to programming languages (e.g., Python, R)Day 3–5: Data manipulation with Python/RDay 6–7: Using libraries for data analysis (e.g., Pandas, NumPy)Week 8: Supply Chain Analytics & Fundamental Metrics: Introduction to machine learning conceptsDay 3–5: Supervised and unsupervised learningDay 6–7: Implementing basic machine learning modelsWeek 9: Data Visualization (Advanced)Day 1–2: Training on data visualization principlesDay 3–5: Hands-on practice with visualization tools (Tableau, Power BI)Day 6–7: Peer reviews of visualization projectsWeek 10: Reporting and CommunicationDay 1–2: Training on report writing and presentation skillsDay 3–5: Creating visual reports and dashboardsDay 6–7: Group discussions on effective communication strategiesWeek 11: Data Ethics and GovernanceDay 1–2: Understanding data privacy and ethicsDay 3–5: Data governance frameworksDay 6–7: Ensuring compliance with data regulationsWeek 12: Review and Future PlanningDay 1–2: Reviewing key learnings and achievementsDay 3–5: Setting future goals and career planningDay 6–7: Final feedback session and program wrap-up

ABOUT THE JOB

The Data Analyst will lead business processes in a new 3 shift/7 day a week omnichannel fulfillment center in North Las Vegas and Mexico. The Analyst will drive the flow of orders, identify operational improvement opportunities, and work with functional partners to optimize workflows.

RESPONSIBILITIES

• Lead business processes in a new 3 shift/7 day a week omnichannel fulfillment center in North Las Vegas and Mexico.
• Drive the flow of orders.
• Identify operational improvement opportunities.
• Work with functional partners to optimize workflows.

QUALIFICATIONS

• Ability to identify a problem, analyze data, and drive forward with meaningful improvement.
• Dynamic view of the big picture and the details.
• Processes orientation but also the ability to thrive in fast-paced, highly ambiguous situations.
• Strong communication skills.

ADDITIONAL ELIGIBILITY

The accomplished individual will possess the following… Ability to identify a problem, analyze data, and drive forward with meaningful improvement A dynamic view of the big picture and the details. Processes orientation but also the ability to thrive in fast-paced, highly ambiguous situations. Strong communication skills.

OTHER

For an opportunity to career shadow at the Tapestry Vegas Fulfillment Center please provide us with more info about yourself at the following https://www.surveymonkey.com/r/TapestrySkillBridge and Human Resources will contact you within 5 duty days.