On a mission to fuel the future of commerce by bringing brands and customers closer together, Stackline is an AI-enabled retail intelligence and activation platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and financial firms trust Stackline as the single source of commerce truth. Fueled by proprietary neural networks and deep learning systems, Stackline's market insights, revenue metrics, behavioral data, and autonomous functionality create the actions that determine success or failure.

Founded in 2014 in Seattle, Stackline employs over 250 connected commerce professionals, creating value for 7,000 global brands.

About the Role:
Join us as a Data Analyst where you will step into a dynamic role that that makes a real impact for our clients. If you are passionate about uncovering hidden insights within complex data sets and transforming raw data into actionable knowledge, then we want to talk with you! In this role you will embark on an adventure that utilized your analytical prowess to decode data, identify trends, and help shape the future of Stackline. Apply today and help us on our quest to unlock the full potential of data while contributing to meaningful change! This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.

What You Will Do:
Conduct comprehensive dataset analyses across Stackline to extract insights, trends, and patterns utilizing mathematical, statistical, and probability methodologies.
Build and maintain data pipelines and workflows to ensure data accuracy and consistency, while identifying and rectifying errors, inconsistencies, or missing information.
Provide timely and precise responses to inquiries from both internal and external sources regarding datasets and models.
Apply technical expertise to process complex datasets, establish quality control procedures, and derive actionable insights through analytics.
Develop scalable processes for automating reports and visualizations to communicate findings effectively to stakeholders.
Collaborate with cross-functional teams to understand data requirements and address specific product questions or challenges.
Document data sources and processes for data analysis.

Who We Are Looking For:
Bachelor’s degree in Mathematics, Physics, Computer Science, or other relevant technical field.
2+ years of direct industry work experience in one or more of the following areas: data science, data analytics, or data engineering.
2+ years of experience with statistics and probability, particularly their application in systems analysis and operations research.
Demonstrated experience with Python and SQL.

Bonus Points If You Have:
Prior experience using advanced statistical tools such as SciPy or sklearn.
Prior experience with big data technologies such as Hadoop or Spark.
Demonstrated experience designing and building innovative ideas, working closely with technical teams from concept generation through implementation.
Experience working in a startup, retail, digital advertising, or e-commerce environment.