Data Analytics Engineer - Remote at Harbor Freight Tools
Harbor Freight Tools · Calabasas, United States Of America · Remote
- Professional
Job Description
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
State
City
Requirements
- 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.