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Lab Alley · 3 months ago

eCommerce Data Analyst (Austin)

12501 Pauls Valley Rd Building A, Austin, TX 78737, US

Full-time

Onsite

Entry, Mid Level

2+ years exp

Lab Alley is striving to be the Amazon of chemicals and seeks a talented eCommerce Data Analyst to provide actionable insights that drive business decisions. The role involves ensuring data integrity, analyzing customer behavior, and collaborating with cross-functional teams to optimize eCommerce strategies and performance.

E-Commerce

No H1B

Responsibilities

Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)

Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations

Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more

Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies

A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns

Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth

Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making

Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects

Qualification

SQLAdvanced ExcelTableauData AnalysisData ArchitectureA/B TestingGoogle AnalyticsCRM Data AnalysisAnalytical ThinkingAI InterestInvestigative MindsetAI Task Force EngagementProgramming (Python/R)Attention to DetailCommunication SkillsCollaborationAdaptability

Required

Bachelor's degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply

Two or more years of post-graduation demonstrated experience as a Data Analyst in an eCommerce environment

Proficiency in data analysis tools and software: SQL, Advanced Excel, Tableau or similar

Understanding of data design, database schemas, data flows/ETL, and storage best practices

Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies

High level of accuracy and attention to detail in managing and analyzing data

Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders

Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals

Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve

Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy

A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights

Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape

CRM data analyzation experience (Salesforce, Zoho, or similar)