Sr. Data & Insights Consultant - job 15 of 20

As a Sr. Data & Insights Consultant, you will be responsible for the analytic function related to GTM business performance metrics. This includes managing executive reporting suites, developing dashboards, coordinating with product owners, and performing end-to-end analyses to uncover business opportunities and enhance performance. Your insights will be pivotal in shaping strategic decisions.

Candidates generally should have a background in data analytics, statistics, or a related field, combined with strong skills in data visualization tools like Tableau and Power BI. Experience with business reporting, performance metrics, and an understanding of data quality standards are crucial. Excellent communication skills are also necessary to present complex data clearly.

A Sr. Data & Insights Consultant drives value by transforming complex datasets into actionable insights that improve decision-making. By identifying key performance metrics, resolving data inconsistencies, and presenting robust analytics, you help streamline operations and enhance client experiences in the money movement sector.

In this role, you'll work extensively with analytics and visualization tools such as Tableau and Power BI. Additionally, familiarity with Big Data environments and statistical analysis software will be beneficial for deriving insights and creating effective data strategies.

The Sr. Data & Insights Consultant position is hybrid, which means while you will have the flexibility to work remotely, specific days in the office will be determined by your hiring manager to encourage team collaboration and engagement.

Discuss specific projects where you utilized Tableau or Power BI to create dashboards. Highlight your ability to translate complex data into user-friendly visualizations, the types of metrics you focused on, and how your work had a positive impact on decision-making.

Talk about methods such as data validation checks, establishing clear data entry protocols, and regular audits of the datasets. It's also effective to mention the importance of cross-functional collaboration when identifying and resolving inconsistencies.

Explain your prioritization process, perhaps using techniques like the Eisenhower Matrix or Agile methodologies. Emphasize your ability to communicate with stakeholders to understand urgent projects versus long-term objectives.

Provide a specific example detailing the context, the data insights you discovered, and the resulting actions that were taken. Explain how your findings influenced business strategy or operational improvements.

Discuss your approach to tailoring presentations, using relevant analogies or visuals to simplify complex data. Highlight the importance of engaging the audience and encouraging dialogue to ensure understanding.

Share a specific instance that posed a challenge, such as data discrepancies or a tight deadline. Focus on how you tackled the issue through strategic problem-solving and collaboration, emphasizing the positive outcome.

Mention resources like industry blogs, online courses, webinars, and networking with other professionals. Highlight any certifications you pursue or relevant conferences you attend to keep your skills current.

Provide examples of metrics you've tracked, how you've reported on them, and the tools you used. Emphasize your role in interpreting this data and making actionable recommendations that benefited the business.

Discuss the process from gathering requirements to designing the dashboard. Talk about ensuring that the final product answers critical business questions and is intuitive for users, incorporating feedback along the way.

Explain your methodology for determining analytical objectives, ensuring they align with business goals. Share how you involve stakeholders in this process to get clear insights into their needs and expectations.