Education: Bachelor's degree or related field
Experience: 5+ years
- 5+ years of experience in BI development, analytics engineering or related roles.
- Bachelor's degree in a STEM discipline (Business, Engineering, MIS, Computer Science, or related field) or specialized training in Information Technology and/or Data Analytics.
- Experience delivering assignments independently under limited guidance within formal delivery methodologies/frameworks (Agile, Traditional/Waterfall, DevOps).
- Familiarity with modern data architecture concepts such as Lakehouse, ELT frameworks, and data orchestration tools.
- Strong experience with Databricks or similar cloud data platforms, including data transformation development.
- Experience with preparing data and developing visualizations in tools such as Tableau
- Experience making decisions and guiding approach on applying SQL-based languages (e.g., SQL Server, Oracle SQL, or MySQL) for data extraction, transformation, and analysis across complex datasets.
- Knowledge of CI/CD practices within data and analytics development.
- Advanced understanding of performance optimization techniques for large datasets. Experience navigating trade-offs between design approaches and fulfillment of requirements.
- Ability to design scalable, maintainable, and well-documented data solutions. Experience influencing designs and improving documentation processes.
- Advanced problem-solving and technical troubleshooting skills.
- Excellent communication skills with ability to translate technical concepts to non-technical stakeholders.
Additional skills and experience that we think would make someone successful in this role (not required):
- Experience working in CPG-related analytics environments or supporting administrative functions such as Finance, Accounting, Human Resources, Communications, Legal, Enterprise Risk, Ethics & Compliance.
- Experience integrating Databricks with enterprise BI ecosystems.
- Experience with Python or other scripting languages for data processing.
- Experience applying artificial intelligence (AI) capabilities and technology toward solution development and analytics use cases
- Experience implementing data governance and metadata management practices, including use of platforms such as Atlan.
- Demonstrated ability to train, mentor or manage work of other resources (internal or contracted) on business intelligence topics.
- Knowledge of modern IT concepts such as Cloud Computing and Infrastructure as Code.
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