eCommerce Data Analyst onsite in Austin

Lab Alley; Austin (TX); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Medical

Vision

Short Term Disability

Supplemental Health Insurance

Wellness program

Employee discount program

401k

Paid time off

Organized team events

Job summary

A fast-growing chemicals eCommerce company in Austin seeks an eCommerce Data Analyst to drive insights and enhance business strategies. The ideal candidate has a strong data analysis background, excellent communication skills, and a collaborative spirit. You will help optimize customer experiences and monitor performance metrics. This full-time role offers growth potential in a dynamic environment.

Qualifications

• Two or more years of experience as a Data Analyst in an eCommerce environment.
• Proficiency in data analysis tools and software.
• Understanding of data design and database schemas.

Responsibilities

• Ensure the accuracy and security of data across all eCommerce systems.
• Collect and analyze data to generate actionable insights.
• Monitor key performance indicators for eCommerce activities.
• Analyze customer data to provide insights for targeted marketing.

Skills

Data analysis

Analytical thinking

Attention to detail

Communication skills

Collaboration

SQL

Advanced Excel

Education

Bachelor’s degree in Data Science or related field

Tools

SQL

Advanced Excel

Salesforce

Zoho

Job description

Overview

Join to apply for the eCommerce Data Analyst onsite in Austin role at Lab Alley.

We have a vision to be the Amazon of chemicals and seek top talent to participate in our continued growth. As an eCommerce Data Analyst at Lab Alley, you’ll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You’ll work in a dynamic environment where your contributions directly influence the success of our eCommerce business.

This role is a unique blend of strategic thinking, project management, and advanced analytics/reporting. You will lead key projects (such as our Zoho CRM Project, Zoho Campaign Project) and build on and implement new technologies like Fin AI while also taking an active role in our company’s AI initiatives. This includes filling a critical spot on the AI Task Force to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You’ll be at the center of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

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 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.

Qualifications & Expertise

• Educational Background: 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.
• Experience: Two or more years of post‑graduation experience as a Data Analyst in an eCommerce environment.
• Technical Skills: Proficiency in data analysis tools and software: SQL, Advanced Excel.
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
• Analytical Thinking: Strong analytical and problem‑solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non‑technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast‑paced, dynamic environment, with a strong desire to continuously learn and improve.
• AI Interest: Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy.
• Investigative Mindset: A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights.
• AI Task Force Engagement: 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 Analysis Experience: Experience with Salesforce, Zoho, or similar platforms.

Nice to Have

Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce).

Certifications

Relevant certifications in data analytics or digital marketing are advantageous.

Programming

Experience with programming languages such as Python or R for data analysis is a plus.

Sponsorship

NOTE: Sponsorship for employment visa status is not available for this position.

About us

Inc. 5000 recently awarded/recognized Lab Alley as one of the fastest-growing private companies in America! We are also one of the fastest growing e-commerce companies in Austin, TX! We provide easy access to essential chemicals – on‑budget, on‑time, every time. Think Amazon for Chemicals!

Workplace culture

• CARE: We care about people and take pride in our work.
• COMMITMENT: We believe success is characterized by our commitment to continuous improvement.
• GENUINE: We believe in being real, authentic, and direct with those around us.
• GROWTH: Lab Alley encourages continual learning and leads with curiosity.
• INITIATIVE: To be successful, we always strive to make things happen!
• INNOVATION: Lab Alley is driven by a relentless pursuit of innovation, constantly seeking new ideas, technologies, and approaches to enhance the experiences of our customers.
• WORK ETHIC: We believe a strong work ethic is about being fully engaged, resilient, and focused on tasks to ensure each project receives attention and consideration.

We give back!

With every purchase a customer makes through our eCommerce website, we work with Ecodrive to plant a tree. This helps reduce the carbon footprint, improves coastlines, improves socio‑economic conditions and so much more. Read more about that here.

Benefits

• Medical
• Vision
• Short Term Disability
• Supplemental Health Insurance
• Wellness program
• Employee discount program
• 401k
• Paid time off
• Organized team events

Job details

Full‑time 40 hours per week with occasional overtime. 8‑5 M‑F.

Reports to

Director of Technology.

Diversity & Inclusion

Lab Alley is an equal opportunity employer and considers all applicants for all positions without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.

Unsolicited resumes

Please note: Lab Alley is not accepting unsolicited resumes or candidate submissions from staffing agencies for this position. In the absence of a signed agreement with Lab Alley's People Operations leader, no fee will be paid for any candidates submitted by agencies. All unsolicited resumes will be considered the property of Lab Alley. Agencies should not reach out to our team members.