Sr. Data & Insights Consultant - job 2 of 19

As a Senior Data & Insights Consultant, your main responsibilities include owning the analytic function for GTM business and performance metrics, overseeing data processes for periodic reporting, creating dashboards in Tableau and Power BI, and conducting end-to-end analyses to identify business opportunities. You will be the go-to expert for all GTM business reporting and work collaboratively with stakeholders to understand their needs and develop insightful solutions.

To become a Senior Data & Insights Consultant with us, candidates typically need a strong background in data analytics, experience with dashboard tools like Tableau and Power BI, and a deep understanding of business reporting. A degree in a relevant field such as Data Science, Business Analytics, or Statistics is often preferred, along with strong problem-solving and communication skills to clearly present analytical insights to diverse audiences.

A Senior Data & Insights Consultant in our company will primarily use data analytics tools such as Tableau and Power BI for dashboard creation and reporting. You may also work with Big Data environments and various database management systems to distill and visualize data across multiple sources, ensuring the delivery of valuable insights that drive business decisions.

A Senior Data & Insights Consultant plays a vital role in shaping business strategy by providing actionable insights derived from data analysis. Through regular reporting and performance monitoring, you will identify trends and operational opportunities, serve as a liaison with strategic partners, and ensure that data-driven decisions are well-informed and aligned with the company's overall goals.

The work environment for a Senior Data & Insights Consultant at our company is collaborative and fast-paced. The role is hybrid, allowing for a mix of remote work and in-office days. We foster a culture of innovation and continuous improvement where team members are encouraged to share insights and drive business value through robust data analysis and strategic thinking.

When answering this question, highlight your previous roles where you performed data analysis, focusing on specific projects that involved reporting. Discuss the tools you used, such as Tableau or Power BI, and any metrics you were responsible for monitoring and improving.

Provide an example from your past experiences where your analytical insights directly influenced a business outcome. Describe the situation, the data you analyzed, and how the insights were applied to inform decision-making.

Emphasize your attention to detail and the methods you use for data validation, such as cross-referencing data sources and performing checks for consistency. Discuss any tools you utilize to ensure data integrity.

Mention a few statistical methods that are relevant to the role, such as regression analysis, hypothesis testing, or descriptive statistics. Explain how you’ve applied these methods in past projects to derive insights.

Outline your approach, starting with understanding the stakeholders' needs, defining key metrics, designing the dashboard layout, and iteratively refining based on feedback. Discuss your experience with dashboard software to emphasize your technical skills.

Talk about specific projects where you used Tableau or Power BI, including the types of visualizations you created and how they helped communicate insights effectively to stakeholders. Mention any specific features you find particularly valuable.

Discuss your ability to simplify technical information by focusing on key findings, using clear visuals, and tailoring your communication to the audience's level of understanding. Mention principles of data storytelling that you follow.

Explain your time management strategies, such as prioritizing tasks, breaking down larger projects into manageable pieces, and communicating with your team to delegate when necessary. Share examples of successfully meeting deadlines in the past.

Describe your process for addressing data inconsistencies, which should include investigating the source of the issue, consulting with relevant stakeholders, and implementing corrective actions to prevent future occurrences.

Articulate your passion for data analytics and your interest in the specific work our company is doing in money movement. Emphasize alignment between your skills and the company's goals, and express enthusiasm for contributing to impactful decision-making.