Data Analyst Intern supporting Business Intelligence strategy implementation at TD SYNNEX. Collaborating with teams for data analysis and reporting to drive strategic decision - making.
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Hybrid Data Engineer – Data Management and Analytics, Data Ops/Data Analyst
Posted 2 months ago
About the role
- Data Engineer collaborating with client stakeholders to meet business objectives through data analytics and reporting solutions. Responsible for data modeling, pipeline development, and maintaining data governance standards.
Responsibilities
- Collaborate with client stakeholders to analyze and synthesize the client data to meet the business objective, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements.
- Leverage best practices and industry leading tools and technologies to profile data, develop efficient ingestion, and build semantic data layers.
- Design data models and solutions for analytical and reporting use cases.
- Build and maintain scalable data transformation workflows in dbt (data build tool) and Snowflake, ensuring clean, consistent, and well-modeled data sets that serve as the foundation for analytics and reporting.
- Implement data quality testing, documentation, and version control within dbt to enforce best practices in data governance and maintain transparency across the analytics lifecycle.
- Develop efficient, reusable data pipelines and Tableau use case layers that enable cross-functional teams to perform self-service analytics and advanced data exploration with minimal engineering dependency.
Requirements
- Master’s or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or related analytics field from top-tier universities with strong record of achievement.
- 3-5 years of experience with solid data engineering skills.
- Hands-on knowledge of traditional relational data warehouse technologies, such as SQL (including Analytical SQL functions), dbt (data build tool), Tableau, Python/Pyspark.
- Experience in data architecture and data modeling, including creating Semantic Layer Data Models.
- Preferred expertise in Sports industry.
- Experience in Machine Learning or NLP, such as Scikit-Learn, SpaCity, Pytorch, or Spark NLP is desirable.
- Prior experience in management consulting and/or analytics based consulting is desirable.
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