Senior Data Analyst - REMOTE

Jobgether•North Carolina, NC

5h•Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Analyst - REMOTE. This role is pivotal in collaborating with key stakeholders to develop scalable data analytics solutions that yield business insights. By acting as a Technical Data Steward, you will ensure the integrity of the Global Data Warehouse as a trusted source of integrated Enterprise data. Your contribution in advising business leadership and Product Owners will shape strategic analytics product backlogs and performance metrics. You will perform advanced data analysis to guarantee data quality and assess critical Enterprise data, ultimately fostering self-service analytics and digital transformation. Accountabilities Collaborate with executive stakeholders to create scalable data analytics solutions. Ensure the Global Data Warehouse is a trusted source of integrated data. Advise on defining strategic analytics product backlogs and performance metrics. Conduct advanced data analysis including sampling and modeling. Assess data quality, lineage, and business use of critical data sources. Provide recommendations to improve data quality and support analysis. Foster collaboration across teams to leverage data as a strategic asset. Ensure technical metadata meets data protection and quality standards. Provide administrative support for the enterprise information catalog. Adapt and develop business rules for analytics needs.

Requirements

Bachelor's degree in Engineering, Computer Science, Statistics, or equivalent.
6 years of experience in data analysis across various applications.
Strong knowledge of analytical architectures and data warehouse platforms.
Experience in creating technical specifications and metadata documentation.
Proficient in SQL for data segmentation and analysis.
Strong communication skills to effectively gather requirements.
Experience in large matrixed organizations and cross-functional leadership.
Proficiency with modern BI and GIS tools like Power BI and ArcGIS.
Familiarity with cloud warehouse environments such as Snowflake.
Experience integrating AI/ML into analytics workflows.

Responsibilities

Collaborate with executive stakeholders to create scalable data analytics solutions.
Ensure the Global Data Warehouse is a trusted source of integrated data.
Advise on defining strategic analytics product backlogs and performance metrics.
Conduct advanced data analysis including sampling and modeling.
Assess data quality, lineage, and business use of critical data sources.
Provide recommendations to improve data quality and support analysis.
Foster collaboration across teams to leverage data as a strategic asset.
Ensure technical metadata meets data protection and quality standards.
Provide administrative support for the enterprise information catalog.
Adapt and develop business rules for analytics needs.