Lead Decision Analyst

The Home DepotAtlanta, DE
3d

About The Position

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: 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 have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis. Lead Decision Analytics associates serve as data strategy consultants for the ELT within the online and provide answers to strategic questions. They develop KPI Frameworks to measure performance (ex. Success of marketing campaigns and ensure partnership with operational analysts in the merchandising and marketing orgs to support their understanding of the frameworks, so they can run their own analysis. Associates in this role build and maintain dashboards and develop reports capturing the performance of ongoing initiatives for leadership. Our goal is to scale experimentation from current state to 10x, provide thought leadership, introduce new testing approaches, and ensure readouts are statistical significant. This person will also train and coach team members and partner with stakeholders and teams on statistics involved in Experimentation. They also should be willing to dive deep into adhoc analysis and insights around the test results to ensure consistent and succinct user story.

Requirements

  • Must be 18 years of age or older.
  • Must be legally permitted to work in the United States.
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
  • 6 years of work experience

Nice To Haves

  • At least 1 year of experience in setting up and running AB tests, evaluation and reporting
  • Deeper knowledge of statistical concepts like Central Limit theorem, T tests, Normality etc., is preferred
  • Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.)
  • Working knowledge of Microsoft Excel and Power Point
  • Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations
  • Produce deep, statistical analysis in service of predictive insights
  • Ability to partner with requesting organizations to build KPI frameworks
  • Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML
  • Ability to visualize data using Tableau
  • Demonstrated expertise in data analysis and data visualization
  • Demonstrated expertise in how to translate analysis into effective presentations
  • Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems
  • 7 years of work experience

Responsibilities

  • Business Collaboration - Leverage extensive business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams. Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.
  • Project Management & Team Support - Lead and manage large and complex projects and teams. Provide direction on prioritization of work and ensure quality of work. Collaborate with managers and team in the distribution of workload and resources. Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics. Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics. Ensure the team comprehends and applies the established processes and standards and mentor team on development.
  • Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners. Clearly communicate impacts of recommendations to drive alignment and appropriate implementation. Develops solutions to transform data into useful, actionable information.
  • Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs. Provide technical education on advanced analytics to analytics community. Drive analytics teams to get matured in predictive and prescriptive analytics.
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