Business Analytics Specialist
2 weeks ago
At Coffeee, we're passionate about crafting exceptional coffee experiences. As a highly skilled Business Analytics Specialist, you'll play a pivotal role in driving our business growth by providing expert analytics support to our Management team.
We're seeking an experienced professional with expertise in data analysis, data modeling, and data governance to join our team. The ideal candidate will have proficiency in Python for data processing and scripting, strong SQL knowledge, and experience with relational databases like MySQL, PostgreSQL, or SQL Server.
The successful candidate will be responsible for designing, building, and maintaining data pipelines and ETL processes using Python as part of larger data platform projects. You'll also collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality.
We estimate the salary for this position to be around $140,000 per year, considering the national average and cost of living in the area. If you're passionate about leveraging data insights to drive business success, we encourage you to apply.
Key Responsibilities:
- Analyze business results and manage studies to collect relevant data.
- Design, build, and maintain data pipelines and ETL processes using Python as part of larger data platform projects.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality.
- Optimize database performance, including indexing, partitioning, and query optimization.
- Implement data governance and security measures to protect sensitive data.
- Monitor data pipelines, troubleshoot issues, and perform data validation.
- Develop and maintain documentation for data processes and workflows.
Requirements:
- Proficiency in Python for data processing and scripting.
- Strong SQL knowledge and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Understanding of data modeling, data warehousing, and data architecture.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
- Proficiency in working with GCP (especially Big Query and GCS).
- Version control skills using Git.
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