Senior Data Analytics Engineering Lead

Senior Data Analytics Engineering Lead

Optomi, in partnership with a leading technology organization, is seeking a Senior Data Analytics Engineering Lead to join a highly visible team responsible for driving analytics, reporting, instrumentation, and data-driven decision making across multiple lines of business. This individual will serve as a trusted advisor to stakeholders, owning critical metrics from definition through delivery while building scalable data solutions that enable business growth. The ideal candidate combines strong analytics expertise, hands-on data engineering experience, and exceptional communication skills to translate complex data into actionable business insights.

What the right candidate will enjoy!!!

• Owning business-critical metrics and analytics initiatives with significant visibility across the organization.
• Serving as a trusted advisor to business leaders, engineers, and executive stakeholders.
• Building scalable data pipelines and analytics solutions that directly impact business decisions.
• Working with large-scale datasets using modern technologies such as SQL, Spark, and AI-powered analytics tools.
• Operating with a high degree of autonomy and ownership while managing multiple business domains.
• Solving complex data quality, instrumentation, and reporting challenges.
• Presenting findings and recommendations directly to senior leadership and influencing strategic initiatives.

Experience of the right candidate:

• 8+ years of experience in analytics, data engineering, instrumentation, business intelligence, and/or data visualization.
• Advanced SQL expertise with the ability to analyze and transform complex datasets.
• Strong hands-on experience utilizing Spark within enterprise-scale data environments.
• Experience building and maintaining scalable data and metrics pipelines.
• Proven experience creating instrumentation specifications and partnering with engineering teams on data collection strategies.
• Strong background in data validation, quality assessment, root-cause analysis, and reporting accuracy.
• Experience designing dashboards and executive-facing visualizations.
• Hands-on experience leveraging AI tools for data exploration, mining, and analytics workflows.
• Demonstrated ability to manage multiple business functions and stakeholder groups with minimal oversight.
• Strong executive communication skills with the ability to present technical findings to non-technical audiences.

Responsibilities of the right candidate:

• Own analytics, reporting, and KPI development across multiple lines of business.
• Define key performance indicators and measurement frameworks aligned with business objectives.
• Create clear instrumentation specifications to ensure accurate and reliable data collection.
• Design, build, and maintain scalable metrics and data pipelines using SQL, Spark, and modern data engineering practices.
• Conduct data validation, quality assessments, and root-cause analysis to identify and resolve reporting discrepancies.
• Perform exploratory analysis and uncover trends, patterns, and opportunities within large datasets.
• Develop dashboards, scorecards, and executive-facing visualizations that drive informed decision-making.
• Leverage AI-powered tools and technologies to accelerate data exploration, analysis, and insight generation.
• Partner with business leaders, engineering teams, and analytics stakeholders to translate business requirements into actionable data solutions.
• Present insights, recommendations, and findings to executives and non-technical audiences.
• Act as the primary point of contact for data, metrics, and reporting within assigned business areas.
• Identify opportunities to improve data quality, operational reporting, and analytics processes across the organization.