Lead Data Analytics Engineer Job Listing at Harbor Freight Tools in Calabasas, CA (Job ID 1273229)

Description

Lead in the design, development, and support of systems and applications to collect, analyze, and transform large volumes of business-data into enterprise reporting and analytic solutions.  Initiatives that lead to greater customer insight, optimized performance, enhanced engagement, improved retention, increased revenue and decreased cost.  Requires strong technical experience and proficiency within Data Warehousing, Reporting, and Business Intelligence.  Responsible for individual-contributor tasks, as well as, leading projects involving database analysts and report developers charged with creating data warehouse and reporting/analytics solutions, and ensuring the delivery of high-quality, consistent and accurate data, analytics and reports.

Essential Duties:

• Lead efforts in the development and implementation of a modern data lake, data models, and semantic layers, across all verticals of the business
• Provide leadership, coaching, and training in cutting-edge tools, such as Databricks
• Work with business partners and management teams to ensure the collection and analysis of appropriate data and metrics to facilitate improvements in processes and profit
• Work with executives and leadership teams to formulate hypotheses and design models and processes aimed at improving KPIs
• Design and develop architecture and data integrity constraints to ensure the data pipeline and data analysis infrastructure meet the needs of the business
• Identify requirements, design, create, deploy, and support self-service data platform and BI dashboards/cubes to empower discovery and information-sharing for business partners
• Utilize expertise in data modeling, ETL architecture, and dashboard design for department initiatives, and produce detailed documentation including data flow, logical, and physical diagrams as needed
• Lead development of processes and procedures for collecting and preparing data from a variety of sources into a central location for reporting, statistical analysis, and research by a variety of business departments
• Analyze, define, and document system requirements for data/work flow, as well as interfaces with other application systems
• Manage multiple tasks/projects requiring days/weeks/months to produce spanning multiple functional areas or the entire enterprise
• Define project scope, goals and deliverables that support business initiatives in collaboration with management and stakeholders
• Plan, schedule, track, and report status on project timelines and deliverables
• Assume lead role in planning complex projects involving multiple sub-projects; simultaneously balancing long-term large scale projects with smaller incremental enhancements and production support
• Provide leadership in the development of standardized templates and processes for validating data, analytics and reports prior to distribution.

• Staff supervision and development —  No
• Decision making – Yes
• Travel – No (0%)
• Location — Remote
• Flex Designation – No

• Bachelor of Science degree in Computer Science or Information Systems preferred
• Masters of Science/Business or Advanced Certifications preferred
• 6+ years relevant job experience in technology, analytics, or Business Intelligence
• Significant experience with modern data analytics infrastructure, such as Cloud Service Providers (Google, Azure, Amazon), MS SQL Server (SSIS/SSRS), IBM Cloud Pak, Oracle, OBIEE, etc.
• 5+ years experience with object-oriented programming languages
• 5+ years experience in writing SQL statements
• 5+ years experience with schema designs, and working with data modeling
• Hands-on experience with data-related programming and Data Lakes/Lakehouses (Databricks, Snowflake, Green Plum, etc.) tools.
• Adept at Agile Product Development and deployment of stable and maintainable BI solutions
• Experience designing, developing/enhancing, and deploying hi-visibility processes, analytics, dashboards/reports
• Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development
• Strong knowledge of data structures, analysis, replication and distributed/relational data & database mapping
• Hands on experience with SQL, 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
• Advanced knowledge/experience with databases, data modeling and data architecture practices
• Relies on experience and business acumen to plan and accomplish goals within time budget

• Will lead team/department initiatives involving other staff members
• May provide mentoring or tutelage to junior staff members

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