Business Analyst

As a Business Analyst at Freed, you will be responsible for tackling analytics across various teams, including Product, Marketing, Sales, and Customer Success. Your primary focus will be on delivering actionable insights that drive decision-making. This includes building dashboards, tracking performance metrics, analyzing trends, and translating complex data into understandable formats for stakeholders. Your work will be essential in fostering a data-driven culture, helping teams set KPIs, and aligning on priorities to improve clinician happiness.

The ideal candidate for the Business Analyst role at Freed should have 2-4 years of experience in data analytics or a related field. Proficiency in SQL and familiarity with data visualization tools like Looker, Tableau, or Power BI are crucial. Additionally, comfort with scripting languages, preferably Python or R, and a strong grasp of statistics, including A/B testing, are also important. Excellent communication and collaboration skills will help you translate technical findings into actionable insights for cross-functional teams.

The Business Analyst at Freed plays a pivotal role in supporting our mission to improve clinician happiness. By uncovering and delivering valuable data insights, the analyst helps empower teams across the organization to make informed decisions that positively impact our products and services. Your contributions will not only enhance data reliability and accessibility but also ensure that all teams are aligned in their goals, ultimately leading to better healthcare experiences for clinicians and patients alike.

At Freed, the Business Analyst will primarily use SQL for data manipulation and analysis. For data visualization, tools like Looker are preferred, although experience with Tableau or Power BI is acceptable. Additionally, familiarity with scripting languages like Python for data analysis is essential. If you're an analyst who enjoys working with these tools and has a knack for creating insightful dashboards, you'll fit right in with our data-driven culture.

Freed offers a collaborative, asynchronous, remote-first work environment, which allows you to connect effortlessly with colleagues regardless of location. As a Business Analyst, you can expect to work closely with diverse teams and engage in meaningful discussions that help grow Freed's product offerings. Our team thrives on open communication, innovative thinking, and a shared commitment to improving healthcare, making it a dynamic and fulfilling place to work.

When discussing your experience with data visualization tools during the interview, highlight specific projects where you've used tools like Looker, Tableau, or Power BI. Explain how you created dashboards and visualizations to help teams understand data trends and inform decision-making. Emphasize your ability to tailor visualizations to different audiences, ensuring that insights are communicated effectively.

In your response, describe your systematic approach to data analysis, starting from defining the key questions to exploring the data and keeping an eye on context. Explain how you evaluate datasets for relevance, clean data when necessary, and use statistical methods to draw meaningful conclusions. Don't forget to mention the importance of communicating your findings clearly to stakeholders.

Share a structured strategy for prioritizing tasks, perhaps using a framework like the Eisenhower Matrix, where you distinguish between what's urgent and what’s important. Mention how you balance immediate stakeholder requests with long-term analytical projects and emphasize your communication skills in keeping stakeholders informed about timelines and expectations.

Choose a specific example that showcases your analytical thinking and the impact of your findings. Explain the problem you were addressing, the data you analyzed, the recommendations you made, and how those led to a change in strategy or operations. Be sure to highlight the outcome and any metrics that showcase the success of your recommendations.

Discuss key statistical concepts such as A/B testing, correlation versus causation, regression analysis, and hypothesis testing. Explain how you’ve applied these concepts in previous roles to derive insights from data, and emphasize why understanding these statistics is crucial for making informed business decisions.

Talk about your commitment to data quality, which starts with assessing data sources. Share strategies such as implementing data validation checks, using data cleaning techniques, and regularly reviewing datasets for inconsistencies. Emphasize how building strong collaborations with data engineers can also help improve data reliability.

Share examples of how you've collaborated with teams from different departments, such as marketing, sales, or product development. Explain how you’ve navigated these collaborations to gather requirements, share insights, and ensure that data-driven decisions align with the overall business objectives. Highlight your communication skills in the process.

Express your passion for improving healthcare and your motivation to help clinicians through data insights. Discuss how you find it fulfilling to know your work impacts clinician happiness, patient care, or overall health outcomes. If you have personal stories or experiences related to healthcare, mention them to reinforce your motivation.

Illustrate your commitment to professional development by mentioning specific resources such as industry publications, online courses, webinars, and networking events. Discuss any relevant communities or forums you’re a part of, and emphasize how these resources help you stay current with evolving technologies and methodologies in data analytics and healthcare.

In your response, emphasize the importance of active listening and understanding the perspective of each stakeholder. Describe how you would facilitate a discussion to clarify needs and find common ground, suggesting data-driven compromises when possible. Highlight your skills in negotiation and communication that can help resolve conflicts and align teams toward a unified goal.