Data Analyst 2

Pay rate range - $43/hr. to $46/hr.
Schedule: Fully onsite

Job Description:

Top skills:
-Data Engineering
-Data Modeling
-Predictive Modeling

KEY RESPONSIBILITES/REQUIREMENTS:

Role and Responsibilities:
• Create and execute product marketing plans for assigned products and customers by leveraging data-driven insights, predictive analytics, and automation using Alteryx, Tableau, and Excel.
• Support and Drive achievement of key product KPIs such as revenue, profitability, and market share objectives through continuous data modeling, statistical analysis, and reporting.
• Collaborate with Sales, CPFR, and Supply Chain teams to track forecast accuracy, identify demand fluctuations, and provide real-time insights through automated data pipelines.
• Own product lifecycle analytics for the B2B monitor portfolio: launch forecasting, ramp up tracking, and EOL demand modeling. You'll work weekly with Client Korea HQ on these calls.
• Maintain a weekly revenue tracker for key accounts, measuring attainment versus targets and providing insights through advanced data visualization techniques.
• Be the analytics contact for Tier 1 distributors (Ingram Micro, D&H). Pull weekly sell through, POS, and inventory data into one clean reporting layer.
• Analyze business processes, identify inefficiencies, and apply data science methodologies to enhance operational efficiency while presenting findings in clear, concise formats such as charts, graphs, and tables.
• Build automated checks that flag when distributor reported numbers don't match internal ERP data. Escalate the real discrepancies.
• Establish efficient methods for recording, tracking, and reporting business activity, leveraging automation for large-scale enterprise data ETL processes with Alteryx.
• Modify and maintain databases, ensuring data integrity and scalability while implementing predictive data models and directing programmers and analysts on necessary system enhancements.
• Manage market share forecasting for B2B.

Skills and Qualifications:
• Bachelor's in Information Science, Statistics, Computer Science, or similar.
• 2+ years in a data analytics or quantitative role. Consumer electronics or hardware background preferred.
• Strong with Alteryx for building data pipelines.
• Strong with Tableau to create various dashboards.
• Comfortable using AI Tools and agents for atomization
• Advanced Excel: nested formulas, Power Query, VBA.