Data Analyst

Smart IMS•Plano, TX

9d•Onsite

About The Position

The Data Analyst provides business intelligence support through repeatable and ad hoc reporting, including charts, graphs, and tables, to enable informed business decisions. The role uses data-driven insights, predictive analytics, and automation to support product marketing plans, product KPIs, operational efficiency, and market-share forecasting. The analyst works with Sales, CPFR, Supply Chain, Tier 1 distributors, and Client Korea HQ, and is based onsite in Plano, Texas. This is a 12-month contract position.

Requirements

Bachelor's degree in information science, statistics, computer science, or a similar field.
At least 2 years of experience in a data analytics or quantitative role.
Strong Alteryx skills for building data pipelines.
Strong Tableau skills for creating dashboards.
Comfort using AI tools and agents for automation.
Advanced Excel skills, including nested formulas, Power Query, and VBA.

Nice To Haves

Background in consumer electronics or hardware.

Responsibilities

Create and execute product marketing plans for assigned products and customers using data-driven insights, predictive analytics, and automation.
Support revenue, profitability, and market-share objectives through data modeling, statistical analysis, and reporting.
Work with Sales, CPFR, and Supply Chain teams to track forecast accuracy, identify demand fluctuations, and provide insights through automated data pipelines.
Manage B2B monitor portfolio lifecycle analytics, including launch forecasting, ramp-up tracking, and end-of-life demand modeling.
Participate in weekly calls with Client Korea HQ.
Maintain a weekly revenue tracker for key accounts, measuring attainment against targets and providing insights through data visualization.
Serve as the analytics contact for Tier 1 distributors, including Ingram Micro and D&H.
Combine weekly sell-through, point-of-sale, and inventory data into a clean reporting layer.
Analyze business processes, identify inefficiencies, and apply data science methods to improve operational efficiency; present findings clearly.
Build automated checks to flag discrepancies between distributor-reported figures and internal ERP data, and escalate genuine discrepancies.
Establish efficient methods for recording, tracking, and reporting business activity, including automated enterprise-scale ETL processes.
Modify and maintain databases to support data integrity and scalability; implement predictive data models and direct programmers and analysts on required system enhancements.
Manage B2B market-share forecasting.