Remote Data Analyst: Insights, Dashboards & Impact

AstrikCoders; Cheyenne (WY); Remote; USD 65,000 - 90,000; Full time

Job summary

AstrikCoders is seeking a Data Analyst for a full-time remote position. You will collect, clean, and interpret data from diverse sources to support strategic decisions and performance tracking.

Your work includes building reports and dashboards, identifying trends, and delivering actionable insights to stakeholders. collaboration with product, engineering, and business teams is essential for defining data requirements and improving data workflows.

Qualifications

• Strong analytical skills to extract insights for decision-making.
• Solid foundation in statistics for forecasting and hypothesis testing.
• Proficiency in data modeling to design and optimize datasets.
• Effective communication to present findings to technical and non-technical stakeholders.
• Experience with SQL, Excel, Python, R, or BI tools (Power BI/Tableau).
• Attention to detail and data quality assurance.
• Ability to work independently in a remote environment.

Responsibilities

• Collect, clean, and interpret data from multiple sources to support decisions.
• Build reports and dashboards; identify trends and patterns.
• Translate business questions into analytical solutions; collaborate with teams.
• Validate data quality and support performance metrics.
• Contribute to continuous improvement of data processes and tools.

Skills

Analytical Skills

Statistics

Communication

Remote work

Education

Bachelor's degree in quantitative field

Tools

SQL

Excel

Python

R

Power BI

Tableau

Job description

AstrikCoders is seeking a Data Analyst for a full-time remote position. You will collect, clean, and interpret data from diverse sources to support strategic decisions and performance tracking.

Your work includes building reports and dashboards, identifying trends, and delivering actionable insights to stakeholders. collaboration with product, engineering, and business teams is essential for defining data requirements and improving data workflows.