Data Analyst II

Key Skills

Big Data Technology, Data Analytics, Data science techniques, Python Programming, SciPy, SQL

Job Description

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 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.

Benefits and Perks

It's important that each and every employee feels they are supported and can complete their life's best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, location, and performance. The pay range for this position in Seattle is $110,000 - $125,000 per year. Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition we provide a robust benefits and perks package that includes:

• 100% paid medical, dental, and vision for employees and qualifying dependents
• Company 401k plan plus matching
• Company paid Life Insurance
• 20 days annually of Paid Time Off (with no accrual or tenure needed)
• 9 Paid company holidays
• 100% Paid Parental Leave - 20 weeks for birthing mothers and 12 weeks for all other parents
• Summer Fridays early close at 2 pm
• Fully stocked kitchen snacks with weekly fresh fruit

Stackline is committed to creating a diverse environment and is proud to be an equal opportunity employer. We encourage applicants from all backgrounds to apply. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.