Data Analyst | Dashboards, SQL/Python & AI Analytics | DMV

Weris Inc.; Reston (VA); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Employer-matched 401(k)

Paid time off

Job summary

Weris, Inc. is seeking a Data Analyst to support data-driven projects through data analysis, reporting, visualization, and modeling. You will handle complex datasets, identify trends, evaluate performance, and develop insights to support decision-making.

The role involves data preparation, validation, and collaboration with a technical team to build dashboards, models, and automated processes. The ideal candidate combines strong analytical and technical skills with the ability to communicate

Qualifications

• Bachelor's degree in a quantitative or related field.

Responsibilities

• Collect, prepare, validate, and analyze large datasets from multiple sources.
• Conduct trend, performance, and predictive analyses to inform decisions.
• Develop and maintain dashboards and reports using Power BI, Tableau, Excel.
• Collaborate with stakeholders to translate business questions into analyses.
• Respond to data requests and provide timely analytical support.
• Communicate findings clearly to technical and non-technical audiences.
• Develop analytical models and ensure transparent documentation.

Skills

Excel mastery

Analytical thinking

Communication skills

Attention to detail

Problem solving

Team collaboration

Education

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Statistics, Economics, Engineering, or related field

Tools

Power BI

Tableau

Excel

SQL

Python

Job description

Weris, Inc. is seeking a Data Analyst to support data-driven projects through data analysis, reporting, visualization, and modeling. You will handle complex datasets, identify trends, evaluate performance, and develop insights to support decision-making.

The role involves data preparation, validation, and collaboration with a technical team to build dashboards, models, and automated processes. The ideal candidate combines strong analytical and technical skills with the ability to communicate