Data Analysis Engineer II jobs in United States
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Samsung Ads · 18 hours ago

Data Analysis Engineer II

Samsung Electronics America, Inc. is a leader in mobile technologies and consumer electronics. They are seeking a Data Analysis Engineer II to manage forecasting tools, create data models, and develop dashboards to support data-driven decisions across various teams.

Marketing & Advertising

Responsibilities

Own and manage the operationally critical forecasting tools and processes using internal tools & data, ML modeling to improve the forecast accuracy
Monitor forecast accuracy, investigate variances, and drive improvements in our predictive forecasting capabilities
Create and maintain robust logical and physical data models for the data warehouse and business intelligence systems
Develop interactive dashboards and automated reports to monitor KPIs, reconciliations, new product launches and empower cross-functional teams to make data-driven decisions
Collect, clean, and analyze complex datasets from various teams, data sources to identify trends and patterns to drive strategic business decisions and growth
Collaborate with internal & external cross-functional teams like category, engineering, supply chain, sales teams for BOPIS+ and omnichannel operations

Qualification

Apache AirflowSQLPythonAWSData modelingBusiness IntelligenceData validationExploratory analysisCollaboration

Required

Designing, developing, and maintaining automated data pipelines using Apache Airflow to extract, transform, and load large-scale data from enterprise systems including POS, OMS, CRM, and inventory platforms
Developing complex SQL models in Vertica to perform data aggregation, transformation, and feature engineering supporting forecasting and operational reporting
Building and maintaining time-series forecasting and regression models using Python (SARIMAX, Prophet, Multivariate Regression) to predict product demand, store performance, and inventory movement
Deploying and managing data infrastructure on AWS (S3, EC2, Redshift) to ensure scalability, reliability, and high availability of analytical workflows
Creating and managing BI dashboards and visualization tools for executive monitoring of revenue, forecast accuracy, promotion lift, and BOPIS/BOSFS program performance metrics
Owning BOPIS monthly target planning (quantity and revenue) by coordinating with Samsung account management teams and external BOPIS retail partners to establish, validate, and track performance against monthly sales and volume targets
Performing data validation, anomaly detection, and exploratory analysis to enhance forecast accuracy and operational efficiency
Collaborate with internal & external cross category and functional teams such as category, engineering, supply chain, sales teams for BOPIS+ and omnichannel operations
Must be proficient in SQL, Python, Cloud based data management and modeling
Must have 3+ years of experience as data analysis engineer, business intelligence engineer, or equivalent positions
Master's degree or equivalent experience in Computer Science, Statistics, Business Intelligence and Analytics, Engineering Management or a related field

Benefits

Medical
Dental
Vision
Life Insurance
401(k)
Employee Purchase Program
Tuition Assistance (after 6 months)
Paid Time Off
Student Loan Program (after 6 months)
Wellness Incentives
MBO bonus compensation, based on company, division, and individual performance

Company

Samsung Ads

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Samsung Ads helps consumers discover relevant content and brands across Smart TVs, mobile, and desktop.

Funding

Current Stage
Late Stage

Leadership Team

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Kimberly Lauterbach
Head Of Business Operations
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Company data provided by crunchbase