
Senior Data Analyst
3 days ago
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About the Company
: We are seeking a highly skilled and experienced Data Analytics Lead to spearhead our data initiatives and drive the development of scalable, enterprise-grade data solutions. This role demands a strategic thinker with hands-on experience in data engineering, architecture, and analytics—preferably with exposure to manufacturing industry use cases.
About the Role
: This role involves leading a high-performing team and collaborating with various stakeholders to develop a centralized data platform for manufacturing reporting and analytics.
Responsibilities
:
- Lead and manage a high-performing team of Data Engineers and Data Analysts.
- Collaborate cross-functionally with business and technical teams to gather and prioritize platform ingestion and reporting requirements.
- Drive the development of a centralized, self-service data platform tailored for manufacturing industry reporting and analytics needs.
- Define and implement end-to-end data strategies—requirement gathering, data modeling, pipeline development, and dashboard/report creation.
- Guide team members with mentorship and support, promoting skill development and professional growth.
- Manage data infrastructure across cloud (Azure) and on-premise environments.
- Stay abreast of current data technologies and trends, and champion a culture of continuous learning and innovation.
- Ensure data quality, governance, and compliance best practices across all systems and pipelines.
Qualifications
:
- 6+ years of experience in data engineering, architecture, and analytics leadership.
- Proven expertise in cloud-based data platforms, especially Azure Synapse, Microsoft Fabric, and Azure Databricks.
- Hands-on experience with Azure Data Factory, PySpark, SQL, and building operationally efficient data pipelines.
- Strong background in data modeling, ETL processes, and data architecture.
- Proficient in developing interactive Power BI dashboards and reports.
- Demonstrated experience in building centralized data platforms, especially within manufacturing domains.
- Excellent interpersonal and communication skills, with a focus on stakeholder management.
- Strong analytical and problem-solving abilities.
Preferred Skills
:
- Experience in cloud data migration and hybrid data architecture.
- Familiarity with data governance, lineage, and cataloging tools.
- Certifications in Azure Data Engineering or related technologies are a plus.
Pay range and compensation package
: If you're passionate about leading data-driven transformation and want to work in a fast-paced, remote environment, we'd love to hear from you.
Equal Opportunity Statement
: We are committed to diversity and inclusivity in our hiring practices.
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