Senior Data Engineer

Jobgether; Remote; USD 60,000 - 80,000; Full time

Job summary

A recruitment platform is looking for a Senior Data Analyst to work remotely, providing scalable data analytics solutions and ensuring a trusted Global Data Warehouse. Ideal candidates will have a Bachelor's degree in a related field and 6 years of data analysis experience. Key responsibilities include collaborating with stakeholders and conducting advanced data analysis. This position offers a flexible work environment, competitive salary, and opportunities for professional development.

Benefits

Flexible remote work environment

Competitive salary range with potential bonuses

Opportunities for professional development

Comprehensive benefits package including health coverage

Qualifications

• 6 years of experience in data analysis across various applications.
• Strong knowledge of analytical architectures and data warehouse platforms.
• Experience with SQL for data segmentation and analysis.

Responsibilities

• Collaborate with stakeholders on creating Enterprise data analytics solutions.
• Ensure the Global Data Warehouse is a trusted data source.
• Conduct advanced data analysis, including modeling and evaluation.
• Assess data quality and recommend improvements.

Skills

Data analysis

Communication skills

SQL

Leadership

Analytical architecture

Education

Bachelor’s degree in Engineering, Computer Science, Statistics, or equivalent

Tools

Power BI

Tableau

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Analyst - REMOTE. In this role, you will collaborate with executive stakeholders and technical staff to create scalable data analytics solutions that provide valuable business insights. As a Technical Data Steward, your contributions will ensure that the Global Data Warehouse serves as a trusted source for integrated Enterprise data. You'll work closely with cross-functional teams to leverage data strategically, enabling advanced analytics and driving digital transformation.

Accountabilities

• Collaborate with stakeholders on creating Enterprise data analytics solutions.
• Ensure the Global Data Warehouse is a trusted data source.
• Conduct advanced data analysis, including modeling and evaluation.
• Assess data quality and recommend improvements.
• Support self-service analytics and insight generation.
• Provide administrative support for data catalogues and glossaries.
• Work within agile, multi-disciplinary teams to deliver analytics.
• Adapt business rules for various analytical needs.
• Define and document data cleansing strategies for accuracy.

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 with SQL for data segmentation and analysis.
• Excellent communication skills to gather requirements and convey ideas.
• Proven leadership abilities in a matrixed organization.
• Familiarity with Power BI and Tableau is preferred.

Benefits

• Flexible remote work environment.
• Competitive salary range with potential bonuses.
• Collaborative and innovative team culture.
• Opportunities for professional development and growth.
• Comprehensive benefits package, including health coverage.
• Support for continuous learning and training.

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.

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