Sr. Analytics Engineer II
| Company | Slickdeals |
|---|---|
| Location | Las Vegas, NV, USA, San Mateo, CA, USA |
| Salary | $157000 – $210000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Strong problem-solving abilities and deep curiosity to address business and product challenges and find innovative solutions in data analysis and reporting tasks.
- Excellent at multitasking, efficiently handling multiple requests and reports even when facing tight deadlines without sacrificing quality.
- Possess a solid understanding of data structures, design patterns, and algorithms, along with basic statistics knowledge (e.g., confidence intervals, statistical significance) with 5-7 years of similar experience.
- Leveraged machine learning models or large language models to tackle complex problems.
- Proficient in working with various data sources, including APIs, RDBMS, structured and unstructured data, demonstrating the ability to ingest data from many sources.
- Possessing strong SQL skills for data manipulation and query execution.
- Proficient in Python, enabling the creation of custom tools and scripts for data analysis and processing.
- Strong experience with BI tools such as Excel, Tableau, Looker, Power BI, or other similar tools for data visualization and reporting.
- Design, implement, and maintain data models and data architecture to support both traditional analytics and advanced data science projects.
- Skilled in modeling data and relationships using methodologies like Data Vault, 3rd normal form, Kimball, or Boyce-Codd Normal form ensuring data integrity and efficiency.
Responsibilities
- Create and maintain comprehensive enterprise-level reports, dashboards, and in-depth ad-hoc analysis that covers a wide array of domains and levels of detail.
- Effectively communicate with business users, ensuring they understand the precise scope of metrics and KPIs presented in reports.
- Tell the data story and how it applies to the business or products involved.
- Gain a comprehensive understanding of the analytics requirements and opportunities.
- Translate complex technology and business requirements into detailed specification documents and reports.
- Plans, conducts, and oversees the analysis of intricate business processes, problems and projects.
- Uncover actionable insights that can inform key business decisions and KPIs.
- Be the liaison between core data engineering and business and product analysts across the organization.
Preferred Qualifications
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No preferred qualifications provided.