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Form of workAbout Slickdeals:
On a mission to bring the joy of discovering a great deal to shoppers, Slickdeals thrives on the active participation of its 12-million-strong community. Users share, upvote, and uncover the best prices on popular products from trustworthy brands.
With a robust track record of 24 years in business, marked by profitability and a thriving community that has saved more than $10 billion, Slickdeals is currently undergoing a transformation. As we evolve into a daily shopping destination for millions more, joining Slickdeals presents an exciting opportunity for entrepreneurially minded builders to create an innovative deal discovery platform.
The Purpose:
The data engineering team's mission is to 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. They play a key role in guiding users towards practical and actionable solutions that leverage data analytics to drive informed decision-making.What You'll Do:
- 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
What We're Looking For:
- 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.
- Thrives in a fast-paced and dynamic startup-like environment
- 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.
- Collaborate with data scientists and analysts to ensure seamless integration of machine learning models into our data infrastructure.
- Collaborate with data scientists to deploy models into production and monitor their performance over time.
- Integrate analytics tools and machine learning frameworks with the data warehouse to facilitate seamless data access and reporting for end-users.
- Work closely with data engineers to implement data structures that support both traditional and advanced analytics.
- Capable of working effectively within a small, agile team and seamlessly switching between different tasks and contexts as needed.
- Demonstrating a high level of motivation with a genuine desire to delve into raw data to uncover behavioral trends and derive valuable insights. This curiosity fuels the drive to explore data that is relevant to the organization's business goals.
Flexible hybrid schedule visiting our San Mateo or Las Vegas office.
- Competitive salary and equity
- Competitive paid time off in addition to holiday time off
- A variety of healthcare insurance plans to give you the best care for your needs
- 401K matching above the industry standard
- Professional Development Reimbursement Program and LinkedIn Learning Membership
Work Authorization
Candidates must be eligible to work in the United States.
Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the "Ban the Box" legislation. We may access publicly available information as part of your application.
Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work.
Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees.
