Data Analyst
Description :
We're seeking a skilled Data Enablement Specialist with a strong focus on Snowflake, data wrangling, process improvement, and data literacy.
The ideal candidate will play a crucial role in optimizing our data infrastructure, enhancing data quality, and promoting data-driven decision-making across the organization.
Responsibilities :
- Leverage Snowflake to design, implement, and optimize data models and pipelines
- Develop and execute Data Wrangling strategies to clean, transform, and prepare data for analysis
- Identify and implement Process Improvements to enhance data quality, accessibility, and governance
- Design and build Tableau dashboards and visualizations to drive insights and support decision-making
- Promote Data Literacy across the organization through training, workshops, and clear communication
- Collaborate with cross-functional teams to understand data needs and develop tailored solutions
- Stay current with emerging trends in data technologies, particularly in the Snowflake ecosystem
- Contribute to the development of data products and analytics use cases
Requirements :
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
- 3-5 years of experience in data analysis, with a strong focus on data wrangling and process improvement
- Advanced proficiency in Snowflake, including SnowSQL and Snowflake's unique features
- Expert-level SQL skills (strong Python programming abilities optional)
- Extensive experience with data visualization tools, particularly Tableau
- Demonstrated experience in designing and optimizing data pipelines and architectures
- In-depth understanding of data governance best practices and implementation strategies
- Proven track record of improving data quality and implementing data literacy initiatives
- Strong analytical and problem-solving skills with attention to detail
- Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences
- Experience working in Agile environments and collaborating with cross-functional teams (JIRA)
- Familiarity with data modeling techniques and best practices
- Knowledge of machine learning concepts and their application in data enablement (preferred)
This role requires a proactive, self-motivated individual who can balance technical expertise with strong communication skills to drive data enablement initiatives across the organization.
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