Job Description
Senior Data Analytics Engineering Lead
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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.
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What the right candidate will enjoy!!!
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- 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.
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Experience of the right candidate:
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- 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.
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Responsibilities of the right candidate:
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- 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.
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