Data Analyst I
Stackline · Seattle, WA
- On site
- Full-time
- $95,000 / year
- Seattle, WA
Job highlights
- Analyze data to find insights and trends.
- Build and maintain accurate data pipelines.
- Respond to internal and external data inquiries.
- Develop automated reports and visualizations.
- Collaborate with cross-functional teams on data needs.
About the role
About Stackline
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
Join us as a Data Analyst where you will step into a dynamic role 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 utilizes 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.
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 $85,000 - $105,000 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:- Comprehensive medical, dental, and vision coverage that actually supports you — including HSA with company match and FSA options
- Fertility benefits to support your path to parenthood
- 401(k) with company match to help you plan ahead
- Company-paid life insurance
- 20 days of PTO + 9 company holidays to truly unplug
- Paid parental leave for all parents — because family matters
- Summer Fridays (log off at 3pm and enjoy it)
- Regular in-office social events including happy hours and catered lunches
- A thoughtfully stocked kitchen with healthy snacks and fresh fruit
Equal Opportunity Employer
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.Key skills/competency
- Data Analysis
- Python
- SQL
- Statistics
- Data Pipelines
- Data Visualization
- E-commerce
- Retail
- Problem Solving
- Machine Learning
Skills & topics
- Data Analyst
- Data Analysis
- Python
- SQL
- Statistics
- Data Pipelines
- Data Visualization
- E-commerce
- Retail
- Analytics
How to get hired
- Tailor your resume: Highlight Python, SQL, statistics, and data analysis experience.
- Showcase your impact: Quantify achievements in data projects and their business value.
- Prepare for technical questions: Brush up on statistics, probability, and SQL/Python coding.
- Understand Stackline's mission: Connect your analytical skills to their commerce platform goals.
- Ask insightful questions: Prepare to discuss data challenges and client impact during interviews.
Technical preparation
Practice Python for data manipulation and analysis.,Master SQL for complex data querying.,Review statistics and probability concepts.,Familiarize with data pipeline concepts.
Behavioral questions
Describe a complex data problem solved.,How do you ensure data accuracy?,How do you communicate data insights?,How do you collaborate with stakeholders?
Frequently asked questions
- What are the key technical skills required for the Data Analyst role at Stackline?
- The Data Analyst role at Stackline requires a strong foundation in statistics and probability, with demonstrated experience in Python and SQL. Familiarity with advanced statistical tools like SciPy or sklearn, and big data technologies such as Hadoop or Spark, is also highly beneficial.
- What is the work arrangement for the Data Analyst position at Stackline?
- This is a hybrid role at Stackline, requiring 4 days per week in the office. The position is based out of their Seattle, WA office.
- What is Stackline's mission and how does the Data Analyst contribute?
- Stackline's mission is to fuel the future of commerce by bringing brands and customers closer together. The Data Analyst contributes by uncovering hidden insights within complex data sets, transforming raw data into actionable knowledge, and helping shape the future of Stackline's connected commerce platform.
- What are the educational and experience requirements for the Data Analyst job at Stackline?
- Candidates should have a Bachelor’s degree in Mathematics, Physics, Computer Science, or a related technical field. A minimum of 2 years of direct industry experience in data science, data analytics, or data engineering, along with 2+ years of experience with statistics and probability, is required.
- What is the compensation and benefits package for the Data Analyst role at Stackline?
- The pay range for this Data Analyst position in Seattle is $85,000 - $105,000 per year. Stackline also offers other rewards like annual bonuses, incentives, and a robust benefits package including medical, dental, vision, fertility benefits, 401(k) with match, life insurance, generous PTO, paid parental leave, and Summer Fridays.
- Does Stackline encourage diverse applicants for the Data Analyst position?
- Yes, Stackline is committed to creating a diverse environment and is proud to be an equal opportunity employer. They encourage applicants from all backgrounds to apply and will consider all qualified applicants without regard to race, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status.