Data Analyst I

AXNT; Houston (TX); On-site; USD 23,000 - 32,000; Full time

Job summary

AXNT is seeking a Data Analyst I in Houston, TX to support business reporting, forecasting, and predictive analysis across sales, inventory, and customer operations. You will build ETL pipelines, develop dashboards, and collaborate with operations and leadership to deliver data-driven recommendations.

The role requires SQL and Python proficiency, experience with BI tools, and strong statistical knowledge. Onsite, full-time, 40 hours/week, USD 20/hour.

Qualifications

• Bachelor’s or Master’s in a quantitative field.
• Proficiency in SQL and Python for data manipulation.
• Experience with data visualization tools (Power BI/Tableau/Looker Studio).
• Strong understanding of statistical methods and data cleaning.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and validate large datasets from multiple sources.
• Design, develop, and maintain SQL queries, Python scripts and ETL pipelines.
• Conduct exploratory data analysis and surface trends and anomalies.
• Build dashboards and recurring reports for KPIs (revenue, AOV, retention).
• Develop forecasting and predictive models for demand planning and sales projections.
• Analyze marketing campaigns and live-selling performance; provide data-driven recommendations.
• Design and maintain structured data models and databases.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Share insights via reports, visuals, and presentations.
• Monitor data quality and document data sources and definitions.

Skills

SQL

Python

Data visualization

Statistics

Communication

Education

Bachelor's degree (Data Science / CS / Statistics / Engineering)

Master's degree (Data Science / CS / Statistics / Engineering)

Tools

Power BI

Tableau

Looker Studio

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.