Senior Principal Data Analyst (Remote) at Jobgether

, Wisconsin, United States -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Data Quality, Data Warehousing, Business Intelligence, GIS Tools, Snowflake, AI/ML Integration, Technical Data Steward, Metadata Documentation, Power BI, ArcGIS, Data Lineage, Sampling, Modeling, Self-Service Analytics

Industry

Internet Marketplace Platforms

Description

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. \n 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. Benefits Flexible working hours and remote work options. Competitive salary and potential bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and training. Supportive and innovative work culture. Access to modern tools and technologies. Collaborative team environment. Work-life balance initiatives. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

This pivotal role involves collaborating with key stakeholders to develop scalable data analytics solutions that generate business insights and ensuring the Global Data Warehouse serves as a trusted source of integrated enterprise data. Responsibilities include advising leadership on strategic analytics backlogs, conducting advanced analysis, assessing data quality, and fostering self-service analytics.