Senior Insights Analyst - Data Analytics

We are looking for a Senior Insights Analyst to turn complex data into clear, actionable recommendations for senior leaders, internal business partners, and external client audiences. This is a hands-on individual contributor role for someone who can work independently across the full analytics lifecycle, shape ambiguous business questions, mentor fellow analysts, and deliver trusted insights that influence decisions.

What will be my duties and responsibilities in this job?

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You will lead analytical projects and own high-visibility insight deliverables that support business performance, client relationships, operational strategy, and executive-level decision-making. You will balance hands-on analysis and modeling with project leadership, peer mentoring, and the continued modernization of the team’s reporting and insight capabilities.

Create value through data

• Produce clear, insightful, understandable work products, including presentations, visualizations, and dashboards, that outline business opportunities and actionable recommendations.
• Transform data into insights using internal and external tools such as Azure, Python, SQL, Excel, and Power BI to identify and quantify opportunities.
• Build studies that add substantial value to the decision-making process through proactive data analysis and research.

Deliver predictive insights

• Translate business challenges into predictive modeling opportunities and collaborate with stakeholders to define forward-looking questions.
• Build and validate ad-hoc predictive models using techniques such as regression, time series forecasting, and classification.

Lead projects and mentor teammates

• Lead projects and assist in the development of project plans, conducting analysis and modeling, testing hypotheses, presenting complex information to various audiences in simplified terms, and identifying next steps and future opportunities.
• Mentor team members in technical proficiency, code reviews, and business acumen.
• Collaborate with team members to prioritize requests that require multiple resources so projects are completed thoroughly and within stated timelines.

Support data strategy and governance

• Participate in and help drive data modeling and governance best practices across Power BI, Microsoft Fabric, and related analytics environments.
• Proactively engage internal and external teams to discover areas of analytical need before they arrive as requests.
• Advance company-wide understanding and implementation of AI and machine learning, and help mature the team’s practices and procedures by leveraging learnings from existing implementations.

Communicate insights

• Leverage data to present compelling business cases that optimize investments and operations.
• Communicate with and educate both technical and non-technical employees on analytics and data-driven decision making.

Lead analytics products

• Work cross-functionally with business owners to develop innovative advanced analytics products that improve customer experience, capitalize on growth opportunities, deliver competitive advantage, and improve decision making.

What will success look like in this role?

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In your first 90...

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