Sr. Data & Insights Consultant - job 19 of 19

As a Senior Data & Insights Consultant, you'll oversee the analytic functions related to GTM business reporting. This includes managing daily and monthly executive reporting, creating dashboards in Tableau and Power BI, and conducting analyses to identify operational opportunities. Your role is crucial in ensuring data quality and aligning with product owners to define key metrics.

Candidates for the Senior Data & Insights Consultant role should possess strong analytical skills, experience with data visualization tools like Tableau and Power BI, and a background in data analytics. A keen understanding of business metrics and the ability to translate complex data into actionable insights are essential for success in this position.

In the role of Senior Data & Insights Consultant, you will utilize data to develop insights that enhance client experiences. By distilling large datasets into actionable strategies, you contribute directly to operational efficiencies and improved business performance, thus driving significant value for our money movement clients.

As a Senior Data & Insights Consultant, you will frequently use tools such as Tableau and Power BI for dashboard creation and data visualization. Additionally, you'll engage with various data analytics software to ensure high-quality reporting and analyses that support GTM business objectives.

The Senior Data & Insights Consultant position is hybrid, allowing for a blend of remote work and in-office collaboration. Expectation of in-office days will be confirmed by your hiring manager, providing you with flexibility while still actively engaging with your team.

When answering this question, highlight specific tools like Tableau and Power BI you've used, the types of analyses you've conducted, and how your skills have contributed to business insights. Be sure to emphasize projects where your work led to tangible outcomes.

Discuss your methods for validating data, such as cross-referencing sources and using error-checking techniques. Giving an example of a time when you identified and resolved data discrepancies can reinforce your approach.

When addressing this question, outline the analytical process you followed, the tools you used, and how you tailored your presentation style to your audience. Highlight the impact your findings had on business decisions to showcase your effectiveness.

Describe your organizational strategies, such as setting clear priorities based on project impact, deadlines, and stakeholder needs. Providing an example of a time you successfully managed multiple projects can demonstrate your capability in this area.

Emphasize your communication skills and the importance of collaboration in achieving results. Mention tools or strategies that facilitate teamwork and how you adapt your approach based on the differing expertise levels of team members.

Talk about the resources you utilize for professional development, such as industry publications, webinars, and online courses. Highlight your commitment to continuous learning and adapting to new technologies in data analytics.

Provide specific examples of dashboards you've created, detailing the metrics you included and the feedback received. Explain how your dashboards drove insights and helped in decision-making processes for executives.

Discuss your approach to identifying relevant metrics, including how you consider stakeholder needs and business goals while ensuring that metrics are actionable and aligned with overall strategy.

Share a story that illustrates your analytical contributions to a significant business decision. Emphasize your role in the analysis, the data used, and the eventual impact on the company's strategy.

Be honest about real challenges you've encountered, such as data inconsistencies or skepticism from stakeholders. Focus on your problem-solving methods and how you maintained a data-driven approach to overcome those challenges.