We are seeking a highly experienced Data Analytics Specialist Lead Engineer to drive enterprise-level analytics initiatives. The ideal candidate will lead data analysis, data integration, reporting, and visualization efforts to support business objectives and strategic decision-making. This role requires strong technical expertise, business acumen, and the ability to collaborate with cross-functional teams.
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Lead the design, development, and implementation of end-to-end data analytics solutions.
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Drive data integration from multiple structured and unstructured sources and ensure data quality and governance.
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Work closely with business stakeholders to understand requirements and translate them into scalable analytical models.
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Develop dashboards, reports, and visualizations to provide insights and drive actionable decisions.
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Optimize data processes, pipelines, and performance tuning for analytics workloads.
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Lead the adoption of modern data technologies, frameworks, and best practices.
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Mentor and guide junior engineers and analysts within the team.
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Collaborate with data architects, data engineers, and business teams on enterprise data strategies.
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Conduct data validation, testing, and documentation to ensure accuracy and reliability.
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Perform advanced analytics including statistical modeling, forecasting, and predictive analysis.
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12+ years of experience in Data Analytics, Data Engineering, or related fields.
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Strong expertise with SQL, ETL tools, and data pipeline development.
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Hands-on experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
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Proficient in BI and visualization tools such as Power BI, Tableau, Qlik, or Looker.
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Advanced skills in Python or R for analytics and scripting.
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Strong understanding of data warehousing concepts, star schema, and dimensional modeling.
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Experience working with large datasets, performance tuning, and real-time analytics.
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Excellent problem-solving skills and ability to communicate complex concepts clearly.