Position Purpose:

Online BI Engineer teams at The Home Depot translate business requirements and build the infrastructure needed to capture customer data.  They acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information.  Additionally, they build, test, and maintain database pipeline architectures.  They Design and develop insightful data visualizations, translating complex data into strategic recommendations while effectively communicating findings across all organizational levels to drive data-informed decision-making and create new data validation methods and data analysis tools.  BI Engineers develop application programming interfaces (APIs) to retrieve data.  Our BI Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence through monitoring, continually testing, and validating the products we support.  These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.

The Sr BI Engineer position creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.

Key Responsibilities:

20% - Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage.30% - Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team.35% - Solution Development - Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation.15% - Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Seek further knowledge on key developments within advanced analytics, technical skill sets, and additional data sources; Participate in the continuous improvement of predictive and prescriptive analytics by developing replicable solutions.

Direct Manager/Direct Reports:

This Position typically reports to Manager or Above.This role has 0 direct reports.

                    
Travel Requirements:

Typically requires overnight travel 5% to 20% of the time.
 

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is 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.
 

Minimum Qualifications:

Must be 18 years of age or older.Must be legally permitted to work in the United States.4 years of relevant work experience

Preferred Qualifications:

Masters in a quantitative field  (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience5+ years of relevant work experienceDemonstrated experience in predictive modeling, data mining and data analysisDemonstrated experience developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, writing automation scripts, and supporting the pipelines in productionExperience in high-level programming languages such as PythonExperience defining and capturing metadata and rules associated with ETL processesExperience building Batch and Streaming pipelinesPrior direct experience writing analytical SQL queries and performance-tuning queriesAbility to stich and maintain data from multiple sourcesAbility to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sourcesProven ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelinesAbility to optimize the pipelines run time and lower the cost on slots/storage consumptionCoaching junior engineers to help improve their code, best practices, and understanding of data engineering principles.Strong verbal and written communications skills at all levelsStrong analytical skills and experience using data visualization and reporting tools (e.g., Tableau, Power BI, Google Analytics).Demonstrated experience with data management, reporting, and marketing technology optimization.

Minimum Education:

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.
 

Preferred Education:

The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
 

Minimum Years of Work Experience:

4
 

Preferred Years of Work Experience:

5
 

Minimum Leadership Experience:

No previous leadership experience

Preferred Leadership Experience:

No previous leadership experience
 

Certifications:

None

Competencies:

Action OrientedCollaboratesDrives EngagementCommunicates EffectivelyCustomer FocusDrives ResultsManages Conflict