Remote Data Analyst - AI Product Insights & Dashboards

AgileGrid Solutions; United States; Remote; USD 70,000 - 100,000; Full time

Benefits offered by this job

Equity participation

401(k) plan

Healthcare coverage

Professional development

Job summary

Daice Labs seeks a Data Analyst to join our remote US team. You will work with engineering and research to analyze complex datasets, influence product development, and support model evaluation with data-driven insights.

The role requires strong analytical skills, attention to detail, and the ability to communicate findings to both technical and non-technical audiences. This is a remote-friendly position within the United States.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics or related quantitative discipline.
• Minimum of two years of professional experience in data analysis or similar analytical role.
• Proficiency in SQL essential; experience in Python or R required.
• Experience with data visualization tools such as Tableau, Power BI or Looker.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns and actionable insights for product and business decisions.
• Develop, maintain and enhance dashboards, reports, and automated data summaries using Tableau, Power BI or Looker.
• Implement data quality checks and validation procedures to ensure data accuracy and consistency.
• Collaborate with machine learning engineers to evaluate model performance and inform optimization.
• Write efficient SQL queries and Python scripts to extract, transform and analyze data from multiple sources.

Skills

SQL

Python

Tableau

Power BI

Looker

Pandas

NumPy

Matplotlib

Education

Bachelor's degree in a quantitative field

Tools

BigQuery

Redshift

Snowflake

Job description

Daice Labs seeks a Data Analyst to join our remote US team. You will work with engineering and research to analyze complex datasets, influence product development, and support model evaluation with data-driven insights.

The role requires strong analytical skills, attention to detail, and the ability to communicate findings to both technical and non-technical audiences. This is a remote-friendly position within the United States.