What are the responsibilities and job description for the Online Sr. Data Architect position at Home Depot Management Company, LLC?
Position Purpose :
Online Data Architect teams at The Home Depot coordinate with key stakeholders to determine data collection needs and write technical specs to support the translation of business requirements into databases, data warehouses, and data streams. They work closely with engineers to ensure the internal customer's data needs are captured. They analyze, plan, and define data architecture framework, including security, reference data, metadata, and master data. Data Architects create and implement data management processes and procedures to ensure accuracy and accessibility.
The Online Senior Data Architect position manages complex processes related to the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement data analytics, tools, and new visibility / reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for the Home Depot. They are considered seasoned experts in one or more analytical domains and serve as a deep analytical resource for the Decision Analytics team.
Key Responsibilities :
- 55% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools / languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
- 10% - People Management & Team Leadership - Leads, plans, and coordinates work teams in an efficient manner to effectively execute analytical projects or processes.
- 20% - Project Management & Team Support - Provide leadership, mentorship and coaching to team members (individual contributors) and evaluate performance, execution, and contribution.
- 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
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