Stackline is looking for a Data Analyst to help uncover hidden insights within complex data sets and transform raw data into actionable knowledge, ultimately shaping the future of Stackline by decoding data and identifying trends.
Requirements
- 2+ years of experience with statistics and probability, particularly their application in systems analysis and operations research.
- Demonstrated experience with Python and SQL.
- 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.
Responsibilities
- 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.
Other
- Bachelors 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.
- Experience working in a startup, retail, digital advertising, or e-commerce environment.
- This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.
