Senior Business Data Analyst (Hybrid | Contract)

Job Description

About

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We’re looking for a Senior Business Data Analyst to support data and analytics for emerging digital product and AI experiences. This role combines hands-on data analysis with foundational data work, experimentation, dashboarding, and stakeholder partnership.

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You’ll work with evolving products where the analytics foundation is still being built, making this a strong fit for someone comfortable creating datasets, reporting, and analytical solutions from the ground up.

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What You’ll Do

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• Build and maintain foundational datasets, data tables, and automated data pipelines that support analytics and reporting.

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• Write advanced SQL to investigate business questions, analyze product performance, and support decision-making.

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• Build and maintain dashboards, KPI reporting, and automated reporting solutions.

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• Support experiments from setup through analysis, including hypotheses, success metrics, test monitoring, and results interpretation.

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• Conduct ad hoc and deep-dive analyses to answer product and business questions.

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• Investigate data discrepancies and improve the reliability and consistency of reporting.

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• Partner directly with stakeholders to understand analytical needs and translate findings into actionable recommendations.

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• Document metrics, reporting logic, datasets, and analytical methodologies.

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What We’re Looking For

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• Strong SQL and analytical skills with experience working with complex datasets.

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• Experience building foundational datasets or data tables from scratch.

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• Experience developing or supporting automated data pipelines using workflow or orchestration tools.

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• Strong experience with dashboarding, KPI reporting, and data visualization.

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• Hands-on experience with experimentation and A/B testing, including test setup, metric definition, and results analysis.

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• Experience conducting ad hoc analysis and translating ambiguous business questions into structured analytical approaches.

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• Strong stakeholder communication and analytical storytelling skills.

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• Ability to learn new tools quickly and work effectively in a fast-evolving data environment.

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Experience with AI-assisted analytics, LLM tools, AI agents, or analytics automation is a plus but not required.