Data Analyst: SQL, Python & BI Dashboards

MACHINE LEARNING TECHNOLOGIES LLC; Richmond (VA); Presencial; USD 65 000 - 90 000; Tempo integral

Resumo da oferta

Data Analyst role in Richmond, VA, to collect, analyze, and visualize business data and support data-driven decisions. Strong SQL, Excel, Python, and BI tool experience required. Collaborate with data engineering and BI teams to deliver insights.

Responsibilities include building dashboards, writing complex queries, validating data, and communicating findings to stakeholders. 12-month engagement with extensions and W-2, 1099, or C2C terms.

Qualificações

• Experience collecting, cleaning and validating data from multiple sources.
• Ability to write complex SQL queries and optimize performance.
• Proficiency with Excel and data visualization tools (Power BI or Tableau).
• Experience with Python for data analysis and reporting.
• Understanding of data modeling, ETL processes and data warehousing.
• Knowledge of statistical analysis and data interpretation.
• Strong communication and problem-solving skills.

Responsabilidades

• Collect, clean, validate, and analyze data from multiple sources.
• Develop dashboards, reports and data visualizations.
• Write complex SQL queries to extract data and drive insights.
• Identify trends, patterns and business insights.
• Collaborate with stakeholders to understand data requirements.
• Perform data quality checks and resolve discrepancies.
• Prepare reports and present analytical findings to management.
• Collaborate with data engineering and BI teams.
• Automate recurring reports and improve data analysis processes.

Conhecimentos

SQL

Excel

Power BI or Tableau

Python for data analysis

Data modeling & validation

ETL & data warehousing

Statistical analysis

Communication & problem-solving

Ferramentas

Power BI

Tableau

Descrição da oferta de emprego

Data Analyst role in Richmond, VA, to collect, analyze, and visualize business data and support data-driven decisions. Strong SQL, Excel, Python, and BI tool experience required. Collaborate with data engineering and BI teams to deliver insights.

Responsibilities include building dashboards, writing complex queries, validating data, and communicating findings to stakeholders. 12-month engagement with extensions and W-2, 1099, or C2C terms.