Data Analytics Lead
Responsibilities:
• Lead comprehensive analytics projects spanning data engineering, reporting, and strategic insights.
• Develop and maintain scalable data pipelines using tools such as Azure Data Factory and Azure Synapse.
• Create and optimize dashboards and reports utilizing Power BI to support business objectives.
• Collaborate closely with leadership to translate business requirements into actionable insights.
• Enhance and manage the organization's data architecture and analytics infrastructure.
• Offer strategic guidance on data practices and analytics methodologies.
• Balance hands-on technical tasks with leadership responsibilities to drive team success.
Qualifications:
• A minimum of 7–10 years of experience in data analytics, business intelligence, or data engineering.• Proficiency in Microsoft Azure tools, including Azure Data Factory and Azure Synapse.
• Advanced experience with Power BI for reporting and data visualization.
• Expertise in both backend data engineering and frontend reporting.
• Strong communication skills to effectively engage with business stakeholders.
• Proven ability to perform in fast-paced and evolving environments.
• Preferred experience with Python and exposure to workflow automation tools.
• Strong business acumen and adaptability in scaling organizations.
Compensation
Based on experienceAbout Us
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