Data Insights Manager

To excel as a Data Insights Manager at Credo, you should possess strong analytical skills, experience in risk adjustment and data analysis, and the ability to work with complex datasets. Familiarity with data visualization tools like Looker or Tableau is preferred, along with a growth mindset to thrive in a fast-paced, agile environment.

The Data Insights Manager at Credo plays a critical role in supporting healthcare by analyzing data that informs operational decisions. By providing insightful data analysis and visual reports to various internal teams, you'll help drive impactful strategies that contribute to transformative healthcare solutions.

As a Data Insights Manager at Credo, your daily responsibilities will include designing and delivering data insights, collaborating with cross-functional teams, and working on ad hoc financial projects. You'll primarily support Customer Success and Operations, but your versatility will be valuable across different teams.

For the Data Insights Manager role at Credo, you can expect a competitive salary ranging from $120,000 to $140,000 per year, along with an additional potential bonus of about $20,000. This compensation reflects the importance of the role and the value you bring to the organization.

Absolutely! Credo values a growth-oriented mindset and provides opportunities for professional development within the Data Insights Manager role. You will work in a collaborative environment that encourages learning and adaptability, making it an ideal place to expand your expertise.

As a remote Data Insights Manager at Credo, you can expect a supportive and flexible work environment. The role requires productivity during Mountain Time business hours, and while working remotely, you'll be part of a dynamic team focused on collaboration and innovation, all while participating in key strategic initiatives.

Ideal candidates for the Data Insights Manager position at Credo will have junior to mid-level analyst experience, particularly with large datasets. Experience in healthcare technology and knowledge of financial statements and FP&A metrics will be beneficial, alongside a proactive approach to problem-solving.

To manage complex data sets effectively, start by breaking them down into manageable components. Use data visualization tools to simplify insights and ensure clarity. Highlight your experience with analytical frameworks that help extract actionable insights and drive decision-making.

Share a specific project where your analysis resulted in significant business outcomes. Detail your data collection methods, how you translated insights into actionable strategies, and the tangible impact it had on the organization. Demonstrating effective communication with stakeholders is equally important.

Discuss specific instances where you've used Looker or Tableau to visualize data. Provide examples of the types of dashboards you created and how they helped different teams make informed decisions. Emphasize your ability to tailor visualizations to meet diverse stakeholder needs.

When prioritizing projects, assess their impact on key business objectives. Implement a framework for evaluating urgency versus importance and focus on collaboration with stakeholders to understand their needs. Adaptability is key; show how you've successfully managed shifting priorities in previous roles.

Emphasize the importance of establishing robust data collection processes and regular audits. Discuss techniques for cross-verifying data against other sources and continuous monitoring to identify discrepancies. Highlighting your commitment to quality will demonstrate your professionalism.

Use clear and concise language to explain findings, avoid jargon, and focus on key takeaways. Visual aids such as dashboards and reports can help convey complex information effectively. Highlight your ability to tailor your communication style based on the audience's level of understanding.

Share a specific scenario where your analysis led to a measurable improvement in business processes. Detail your analytical approach, the insights you discovered, and the subsequent changes implemented that optimized performance, showcasing your problem-solving skills.

Collaboration is crucial; highlight your experience working with cross-functional teams to gather insights and validate findings. Discuss how you facilitate discussions, encourage knowledge sharing, and create an inclusive environment that fosters data-driven decision-making.

Share your methods for keeping abreast of industry trends, such as attending webinars, joining professional organizations, and following thought leaders on platforms like LinkedIn. Mention any relevant certifications or courses you’ve taken to enhance your knowledge.

Identify a challenge you anticipate, such as managing a high volume of data requests. Provide engaging examples of how you’ve addressed similar challenges before, demonstrating your problem-solving capabilities and readiness to take on the complexities of the role.