Data Analyst I at Stackline

Seattle, Washington, United States

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, Technology, Commerce PlatformIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

SQLPythonData AnalysisStatisticsData PipelinesETLData QualityMathematical ModelingProbabilityTrend Analysis

Questions & Answers

Common questions about this position

Is this role remote or does it require office work?

This is a hybrid role requiring 4 days per week in the Seattle, WA office.

What education and experience are required for this Data Analyst position?

A Bachelor’s degree in Mathematics, Physics, Computer Science, or other relevant technical field is required, along with 2+ years of direct industry experience in data science, data analytics, or data engineering, 2+ years with statistics and probability, and demonstrated experience with Python and SQL.

What is the salary for this Data Analyst I role?

This information is not specified in the job description.

What are some bonus skills that would make my application stand out?

Prior experience with advanced statistical tools such as SciPy or sklearn, and big data technologies such as Hadoop or Spark, would give bonus points.

What kind of work environment can I expect at Stackline?

The role involves a dynamic environment where you'll collaborate with cross-functional teams, make real impact for clients, and contribute to uncovering insights in complex datasets.

Stackline

Retail performance tools and insights provider

About Stackline

Stackline offers tools and services to improve retail performance for brands in the retail and e-commerce sector. Its platform provides insights into the retail and shopper ecosystem, enabling brands to connect with customers and measure their performance across various channels. The company stands out by offering comprehensive advertising solutions on major retail media platforms and tools for managing customer data and engagement. Stackline's goal is to empower brands with the insights and capabilities needed to enhance their retail strategies.

Seattle, WashingtonHeadquarters

2014Year Founded

$175.1MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Consumer Software, Consumer GoodsIndustries

201-500Employees

Benefits

Competitive Salaries

Insurance

Catered Lunches

Paid Parental Leave

Snack Stocked Kitchen

Fun Downtown Location

Stock Options

Vacation and Flex Time

Summer Fridays

401K Retirement Plan

Risks

Increased competition from platforms like Profitero and Jungle Scout.

Potential over-reliance on Amazon as a key partner.

Rapid technological advancements could render solutions outdated without continuous innovation.

Differentiation

Stackline offers a full-funnel connected commerce platform for innovative brands.

Its proprietary neural networks provide transformational omnichannel insights and advertising performance.

Stackline's Multi-retailer CRM manages customer data across various channels for brands.

Upsides

Partnership with Amazon enhances retail media investment insights for brands.

Ranked #2 in G2's Best Global Commerce Software, indicating strong market position.

$130 million investment from TA Associates supports innovation and expansion.

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