Sr. Data & Insights Consultant - job 11 of 19

The Senior Data & Insights Consultant at our Miami location will take charge of the analytic functions for Go to Market (GTM) business metrics, both periodic and ad hoc. This includes owning executive reporting suites, developing performance dashboards, coordinating with product owners, resolving data inconsistencies, and identifying business opportunities to enhance performance.

To thrive as a Senior Data & Insights Consultant with us, you'll need a strong background in data analysis and reporting, familiarity with analytics tools like Tableau and Power BI, and excellent communication skills to present insights to technical and non-technical stakeholders. A degree in a quantitative field and experience in analytics, especially in financial or payment sectors, will be highly beneficial.

As a Senior Data & Insights Consultant, you will primarily utilize Tableau and Power BI for dashboard design, alongside analytical tools suited for Big Data environments. The role also involves using various data processing tools to ensure data accuracy and quality while generating insights that support best-in-class client experiences.

Success for the Senior Data & Insights Consultant at our company is defined through the delivery of timely, accurate analytic reports, the ability to identify and drive operational improvements, and the effectiveness of dashboards that provide clarity to stakeholders. Gathering actionable insights that lead to enhanced business performance is crucial.

In the Senior Data & Insights Consultant position at our Miami location, the hybrid work model allows for a flexible schedule. Your in-office presence will be determined by your hiring manager, ensuring you have time for collaborative engagement while also maintaining a balance with remote work to handle individual tasks.

In responding to this question, highlight specific experiences with tools like Tableau and Power BI, emphasizing projects where your dashboards led to actionable insights. Discuss how you tailored visualizations for different audiences, ensuring the information was both accessible and impactful.

When answering this question, illustrate your systematic approach to data validation and cleaning. Mention techniques such as cross-referencing with other data sources, collaborating with team members for clarification, and implementing automated checks to minimize future inaccuracies.

Provide a concrete example where your analysis led to a strategic decision or operational improvement. Detail your methodology, the insights derived, and how those insights were communicated to stakeholders to drive action.

Discuss key performance indicators you believe are essential, such as conversion rates, customer satisfaction scores, or sales growth metrics. Explain why you prioritize these metrics and how they inform strategic decision-making.

In your response, outline the project scope, the analytical tools you employed, and the impact your analysis had on the business. Focus on your thought process, the challenges faced, and any collaborative efforts with team members.

Explain your strategies for adapting your communication style, such as using visual aids for complex concepts or breaking down intricate data insights into relatable stories. Stress the importance of ensuring everyone understands the findings and can contribute to discussions.

Discuss how you assess the urgency and impact of each request, using project management tools or methodologies. Mention techniques like prioritization matrices that help balance high-priority tasks with ongoing project responsibilities.

Highlight your experience in stakeholder engagement, where you ask probing questions to uncover true needs. Discuss your approach to building relationships and how you refine initial requests into actionable data analytics objectives.

Talk about your continuous learning mindset, such as following industry blogs, engaging in webinars, or pursuing relevant certifications. Emphasize the importance of staying current to leverage new technologies and methodologies effectively.

Reflect on a specific challenge related to data analysis or stakeholder engagement. Describe the situation, your approach to addressing it, and the positive outcomes that resulted from your actions, demonstrating resilience and problem-solving skills.