Data Analyst

Seneca Resources Company, LLC; Richmond (VA); On-site; USD 65,000 - 95,000; Full time

Job summary

Seneca Resources Company, LLC is seeking a data-focused professional to construct and document analytic datasets using SAS, SQL, and R. The role involves responding to data requests per department standards and assisting with audit and compliance tasks through advanced programming techniques.

The candidate should be adept at handling large data sets, have strong analytical skills, and be able to communicate complex analyses clearly to non-technical audiences.

Qualifications

• Strong knowledge of SAS, R, or SQL.
• Experience working with large data sets.
• Deep analytical and problem solving skills.
• Ability to initiate, refine, and complete challenging projects with minimal guidance.
• Capable of clearly communicating complex analyses to a non-technical audience.

Responsibilities

• Construct and document analytic datasets using SAS, SQL, R, or other programming tools.
• Respond to data requests adhering to department standards and procedures.
• Support compliance monitoring and other audit functions using intermediate and advanced programming techniques.
• Assist senior staff in the preparation of analytic results in the form of both data and written reports, manuscripts and abstracts/posters for professional meetings.

Skills

SAS

SQL

R

Data analysis

Large data sets

Analytics

Communication

Job description

Position Status: (Full Time or Contract to Hire)

Key Responsibilities:

• Construct and document analytic datasets using SAS, SQL, R, or other programming tools.
• Respond to data requests adhering to department standards and procedures.
• Support compliance monitoring and other audit functions using intermediate and advanced programming techniques.
• Assist senior staff in the preparation of analytic results in the form of both data and written reports, manuscripts and abstracts/posters for professional meetings.

Experience in SAS, SQL, R or other data programming

Critical Skills

• Strong knowledge of SAS, R, or SQL.
• Experience working with large data sets.
• Deep analytical and problem solving skills.
• Ability to initiate, refine, and complete challenging projects with minimal guidance.
• Capable of clearly communicating complex analyses to a non-technical audience.