Stackline2mo ago

Data Analyst I

Seattle,Seattlemid

Data ScienceData AnalystData

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Quick Summary

Key Responsibilities

Conduct comprehensive dataset analyses across Stackline to extract insights, trends, and patterns utilizing mathematical, statistical, and probability methodologies.

Requirements Summary

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,

Technical Tools

Data ScienceData AnalystData

Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source of commerce truth. Fueled by our proprietary neural network, our market insights, revenue metrics, behavior analyses, and autonomous functionality create the actions that determine success or failure.

Founded in 2014 in Seattle, we have offices in Minneapolis, New York, Salt Lake City, and London. Since November 2020, Stackline has raised $180 million in strategic investments from Goldman Sachs Growth Equity and TA Associates.

Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together.

About the Role

~1 min read

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.

Responsibilities

~1 min read

→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.

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.

Nice to Have

~1 min read

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.