AI Solutions Developer / Data Engineering Analyst
RPA Health
BigQueryCloudETLGoogle Cloud PlatformPythonSQLTableau
Vice President, Data Analytics
CandleScience
full-time
Posted on:
Origin: • 🇺🇸 United States • North Carolina
Visit company websiteJob Level
Lead
Tech Stack
BigQueryCloudETLPostgresPythonSQL
About the role
- Run the organization’s data and analytics core competency and serve as primary data evangelist
- Promote a data-forward, self-serve analytics culture and train others to use data responsibly
- Assist with recruiting, interviewing, hiring, training, performance evaluations, discipline, and termination in accordance with company policy
- Oversee daily workflow of the analytics department
- Design, build, and maintain a durable, flexible, and secure data ecosystem ingesting warehouses, cloud storage, APIs, SaaS platforms, and local files
- Ensure clear documentation and lineage for auditing, collaboration, and troubleshooting
- Collaborate with stakeholders across the business to assess needs and surface analysis opportunities
- Serve as primary Administrator of the organization’s BI deployment (Looker), manage access and security for sensitive data
- Manage data infrastructure and cloud costs, improving efficiency and performance
- Develop, architect, propose, and implement data engineering, BI, and data warehouse frameworks supporting forecasting, CAC/LTV and customer profiling, fulfillment and warehouse optimization, inventory productivity, marketing performance and attribution, financial audits and modeling
Requirements
- Bachelor’s Degree
- At least 10+ years of relevant work experience
- Excellent interpersonal and customer service skills
- Excellent organizational skills and attention to detail
- Strong analytical and problem-solving skills
- Strong leadership and team management skills
- Moderate to advanced SQL capabilities
- Moderate to advanced experience with cloud databases, database table structure, ETL/ELT and data modeling (PostgreSQL and Google BigQuery)
- Advanced experience using and administrating enterprise-class BI deployments (Looker)
- Advanced experience with SaaS APIs and data pipeline architecture
- Moderate to advanced analysis capabilities using Looker/BI environments, SQL IDEs, Excel/Google Sheets, Python, and R
- Fundamental understanding of core machine learning and A.I. concepts
- Fundamental literacy in statistical analysis and test design
