Job Purpose
As an Analytics Engineer, you'll work in our Business Intelligence organization as a member of one of the IT teams responsible for creating datasets for analytical purposes, including datasets for end users to import into desktop tools, and datasets to import into analytics and BI tools. The analytics engineer can use the curated area of the enterprise data repository as the source for these types of data products or services and can help build semantic layers and models that enable the rest of the organization to consume analytics more efficiently. You'll collaborate with our business partners to develop detailed designs, functional and technical specifications for business solutions and work with the team to develop standard and custom BI reporting solutions.
Responsibilities:
- 4+ years demonstrated experience in data analytics, data engineering, software engineering, or a similar role
- Expertise in data modeling, ETL development, and data analysis
- Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Snowflake
- Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders
- Familiarity with cloud-based data platforms such as AWS and Azure for data storage and processing
- Substantial programming ability using languages/tools such as Python, JavaScript for data manipulation and scripting
- Solid understanding of relevant data governance, data quality, and data security best practices
- Strong problem-solving skills, and the ability to think critically and analytically
- Experience and working knowledge with data visualization tools such as Tableau and Power BI
