Data Analyst I
Analytics
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Integration
Data Pipeline
Data Processing
Data Visualization
Data Visualization Tools
Data Viz
Database
Databases
Dataviz
E Commerce Analytics
ETL
Looker Studio
Power BI
Predictive Analytics
Reporting and Analytics
Revenue Forecasting
SQL
Tableau
Job Description
AXNT is hiring a Data Analyst I in Houston, TX to support business reporting, forecasting, and predictive analysis across sales, inventory, and customer operations.
Responsibilities
- Collect, clean, and validate large datasets from multiple sources, including e-commerce platforms (Shopify, TikTok Shop, Whatnot), inventory systems, and internal databases to ensure accuracy, completeness, and consistency.
- Design, develop, and maintain SQL queries, Python scripts, and automated ETL (Extract, Transform, Load) pipelines to integrate and prepare data for analysis and reporting.
- Conduct exploratory data analysis and apply statistical methods to surface trends, patterns, and anomalies in sales performance, customer behavior, and product demand.
- Build and maintain interactive dashboards and recurring reports tracking KPIs such as revenue, conversion rates, average order value, inventory turnover, and customer retention.
- Develop forecasting and predictive models using statistical and machine learning techniques for demand planning, inventory management, and sales projections.
- Analyze marketing campaign and live-selling performance across sales channels, then provide data-driven recommendations to improve sales and customer engagement.
- Design and maintain structured data models and databases to support reliable data storage, retrieval, and analysis.
- Collaborate with cross-functional teams (operations, marketing, leadership) to gather requirements and deliver analytical solutions.
- Share insights with stakeholders through written reports, data visualizations, and presentations.
- Monitor data quality, investigate discrepancies, and implement data validation procedures to support trustworthy reporting.
- Document data sources, metric definitions, processes, and reporting logic following data governance best practices.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
- Proficiency in SQL and Python for data manipulation and analysis.
- Experience using data visualization tools such as Power BI, Tableau, or Looker Studio.
- Strong understanding of statistical methods, data modeling, and data cleaning techniques.
- Excellent analytical, problem-solving, and communication skills.
Technologies
- SQL
- Python
- Power BI
- Tableau
- Looker Studio
- Shopify
- TikTok Shop
- Whatnot
- ETL (Extract, Transform, Load)
Preferred Qualifications
- Experience with e-commerce data or platforms such as Shopify or TikTok Shop.
- Familiarity with machine learning and forecasting techniques.
- Experience building ETL pipelines or working with cloud data tools.
Employment Details
- Location: Houston, TX (onsite)
- Work location: In person
- Employment type: Full-Time
- Weekly hours: 40 hours per week
- Pay: USD 20 per hour (from $20.00 per hour)
- Job type: Full-time
Overview
- Dedicated, enthusiastic Data Analyst I to join the team.
- Fast-growing startup environment with opportunity to be involved early.
- Role defining position with ample opportunity for advancement.