Data Analyst (Onsite) - SQL, Power BI, Python | Telecom

Robotics Technologies; Richmond (VA); On-site; USD 70,000 - 90,000; Full time

Job summary

Robotics Technologies is seeking a Data Analyst for a 12-month contract role in Richmond, VA, onsite. You will collect, clean, and analyze data across sources, build dashboards, and deliver insights to support decision-making within the telecom domain.

Responsibilities include writing SQL, developing reports, and collaborating with data engineering and BI teams to automate analytics processes and provide reliable, actionable insights to management.

Qualifications

• Strong SQL and database querying experience.
• Advanced Microsoft Excel skills.
• Experience with Power BI or Tableau.
• Knowledge of Python for data analysis.
• Strong understanding of data modeling and validation.
• Experience with ETL processes and data warehousing.
• Knowledge of statistical analysis and data interpretation.
• Strong communication and problem-solving skills.

Responsibilities

• Collect, clean, validate, and analyze data from multiple sources.
• Develop dashboards, reports, and data visualizations.
• Write complex SQL queries to extract and manipulate data.
• Identify trends, patterns, and actionable business insights.
• Partner with stakeholders to understand data requirements.
• Run 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.

Skills

SQL querying

Excel

Power BI

Tableau

Python

Data modeling

ETL

Data warehousing

Communication

Problem-solving

Tools

SQL

Excel

Power BI

Tableau

Python

ETL

Job description

Robotics Technologies is seeking a Data Analyst for a 12-month contract role in Richmond, VA, onsite. You will collect, clean, and analyze data across sources, build dashboards, and deliver insights to support decision-making within the telecom domain.

Responsibilities include writing SQL, developing reports, and collaborating with data engineering and BI teams to automate analytics processes and provide reliable, actionable insights to management.