Sr. Data & Insights Consultant - job 15 of 19

As a Sr. Data & Insights Consultant, you will be responsible for owning the analytic function for Go to Market (GTM) business reporting. This includes producing regular executive reports, coordinating with product owners to define key metrics, and ensuring data accuracy across various dashboards. Your role involves identifying data quality issues, performing end-to-end analyses to uncover operational opportunities, and collaborating with stakeholders to formalize data requirements.

To successfully apply for the Sr. Data & Insights Consultant role, candidates typically need a degree in a quantitative field such as Data Science, Statistics, or Business Analytics. Experience with data visualization tools like Tableau and Power BI is essential, along with strong analytical skills and the ability to present complex data in engaging formats. Additionally, prior experience in a business analytics role will be beneficial.

The Sr. Data & Insights Consultant plays a pivotal role in converting raw data into strategic insights that drive business value. By creating and maintaining performance dashboards and conducting thorough analyses, you will help identify trends and operational opportunities that enhance the client experience in money movement services. Your expertise in data will guide strategic decisions that support the company’s growth.

In the role of Sr. Data & Insights Consultant, you will primarily utilize Tableau and Power BI for creating interactive and insightful dashboards. Additionally, familiarity with Big Data environments and data repository management will be crucial as you work with large datasets to ensure they are analyzed and reported accurately.

The Sr. Data & Insights Consultant position is hybrid, allowing for a combination of in-office and remote work. Your specific in-office days will be confirmed by your hiring manager, providing flexibility while still ensuring collaborative opportunities with your team.

When discussing your experience with data visualization tools, provide specific examples of projects where you created dashboards and how those dashboards were used to support business decisions. Highlight your familiarity with creating intuitive user interfaces and integrating multiple data sources for comprehensive visual storytelling.

To ensure accuracy and quality, discuss your systematic approach to data validation and cleaning processes. Emphasize the importance of cross-referencing data from multiple sources and the techniques you employ to identify inconsistencies before presenting the data in reports.

Share a specific instance where your deep dive into data revealed insights that prompted a business action. Be sure to explain the methodology you used for your analysis, the insights you uncovered, and how those insights impacted business strategy or operations.

Discuss your approach to audience analysis before delivering presentations. Explain how you adjust the complexity of the data and the narrative to suit the audience’s background and interest, ensuring that your messaging is both engaging and informative.

Talk about your techniques for distilling complex data into simple, actionable insights. This can include using visual aids, storytelling, and focusing on the implications of the data rather than just the numbers to keep the audience engaged.

Provide an example of a data integrity issue you've encountered. Detail the steps you took to investigate the problem, the solutions you implemented to rectify it, and any long-term strategies you developed to prevent similar issues in the future.

Indicate your familiarity with KPIs relevant to GTM metrics, such as sales velocity, client satisfaction scores, or operational efficiency rates. Explain why these metrics matter and how they can guide strategic decisions.

Discuss your strategy for engaging stakeholders, including regular updates and the importance of soliciting feedback. Highlight how these interactions foster collaboration and ensure that analytical deliverables align with business objectives.

Share your experience conducting ad hoc analyses by outlining the types of analyses you've performed, how you approached gathering data resources quickly, and the impact your findings had on decision-making in urgent business situations.

Describe a specific project where you developed a performance dashboard. Focus on the process, from identifying user requirements and choosing relevant metrics to the design and implementation, and the ultimate feedback received from stakeholders on its usefulness.