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

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.

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.

No preferred qualifications provided.