Data Analytics Engineer - Remote Job Listing at Harbor Freight Tools in Calabasas, CA (Job ID 1368267)

Description

Analyze large data sets and extract patterns that lead to greater customer insight, optimized performance, enhanced engagement, improved retention, increased revenue and decreased cost.

Essential Duties and Responsibilities 

• Work with business partners and management teams to the ensure collection and analysis of appropriate data and metrics to facilitate improvements in processes and profit
• Work with leadership teams to formulate hypotheses and design research aimed at improving key performance indicators
• Develop architecture and data integrity constraints with data infrastructure engineers to ensure the data collection pipeline and data analysis infrastructure meet the needs of the business
• Identify requirements, design, create, deploy, and support self-service BI reports and cubes to empower discovery and information-sharing for business partners
• Design, develop, implement, manage and monitor Business Intelligence dashboards
• Utilize understanding of data modeling, ETL architecture, and report design for department initiatives, and produce detailed documentation including data flow diagrams, logical diagrams, and physical diagrams as needed

• Staff supervision and development —  None
• Data Management- Ensuring Data Sources across multiple servers/platforms are accurate and complete
• Travel – 5%
• Location & Flex Designation— Remote Anywhere

• Bachelor of Science degree in Computer Science or Information Systems preferred
• 2+ years relevant job experience in technology, analytics, or Business Intelligence
• Experience designing, developing, deploying, and enhancing hi-visibility computer programs, analytics, dashboards and reports
• Adept at rapid prototyping and deployment of stable and maintainable BI solutions
• Hands-on experience with data-related programming and other high-level languages preferred
• Understanding of distributed computing, data warehouse, data mining, business analytics and software development
• Experience with modern data analytics infrastructure, such as MS SQL Server (SSIS/SSRS), IBM Cognos, SPSS, TM1, Netezza, Oracle, OBIEE, Financials, etc.
• Knowledge of data structures, analysis, replication and distributed/ relational data & database mapping
• Experience working with very large data sets and performing product- and business-level analysis
• Hands on experience with SQL query language, data warehouse, RDBMS and common BI tools and techniques
• Strong computer science, statistics and mathematics background
• An analytical thinker that excels at analyzing and understanding data to answer questions
• Equipped to handle responsibility, collaborate and excel in a fast-paced, small team environment

• General office environment, ability to sit for long periods of time.  Ability to move about an office.

• The candidate must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.