Senior Manager, Advanced Data Analytics and Insights
Role details
Job location
Tech stack
Job description
We are seeking for a Senior Manager, Advanced Data Analytics who is a data-driven professional and is passionate about transforming complex data into clear, trusted insights and scalable BI products. This role blends analytical and technical expertise with business acumen. As a full-stack analytics professional, you'll deliver end-to-end BI solutions and Insights while partnering with stakeholders to drive measurable outcomes.
The Expertise and Skills You Bring
End-to-End BI Product Delivery - Translate business questions into clear analytical requirements, and create reporting experiences and insights that support decision-making. Own end-to-end delivery of production BI solutions.
Business Partnership & Insight - Act as a consultative partner translating objectives into measurable outcomes while driving a consistent "single source of truth" across stakeholders and domains.
Data Understanding, SQL, & Analytics Engineering - Perform deep data discovery of source-to-target relationships, data lineage, business rules, and operational nuances. Optimize advanced SQL for large-scale data processing. Build scalable, high-quality datasets through strong data shaping practices.
Data Quality, Controls, & Trust - Document definitions, assumptions, and limitations to ensure auditability. Partner with governance and platform teams to align on standards. Design and maintain robust data quality controls-including validation, anomaly detection, and completeness checks to drive trust in data.
Dashboarding & Visualization (Power BI, Tableau) - Design and deliver intuitive, high-performing dashboards and semantic reporting layers to enable self-service analytics aligned to business workflows. Apply visualization best practices, optimize performance, and manage release lifecycles.
Advanced Analytics (Non-AI) - Apply statistical and quantitative methods for diagnostic and predictive insights (e.g., hypothesis testing, statistical comparisons). Independently conduct advanced analyses and build business cases ROI/ impact measurement tied to actions and outcomes.
Requirements
Do you have experience in Technical Proficiency?, Education & Experience - Bachelor's or equivalent Degree with 4+ years of experience working with data insight solutioning. Preferred BS/MS in Engineering, Computer Science, Data Core Skills
Core Skills
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Knowledge in business statistics and quantitative methods
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Proficiency in SQL and Python (pandas, data processing libraries)
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Experience with BI and analytical tools (e.g. Power BI, Tableau, and related tooling)
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Expertise in data modeling, semantic layer design, and metric modeling
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Experience with pipeline logic and ETL practices
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Practice in strong data quality and reconciliation methods
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Experience with cloud data warehouses and analytics platforms (e.g., Snowflake)
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Experience with Stakeholder partnership, consultative communication, and data storytelling