Senior Data Analyst

As a Senior Data Analyst at Relay, you will primarily focus on optimizing operations through data-driven insights. Your main responsibilities include defining key performance indicators, building dashboards for performance transparency, identifying areas for improvement, translating complex business problems into analytical questions, and collaborating with cross-functional teams to enhance network efficiency. You'll also take ownership of cross-functional projects and directly contribute to strategic decision-making—playing a crucial role as Relay scales its operations.

Relay is looking for Senior Data Analysts with at least 6 years of experience in data analysis or a related role. You should possess excellent SQL skills and have experience with business intelligence and data visualization tools. It is essential to have strong analytical and problem-solving skills, effective communication abilities, and experience in collaborative environments. Additionally, familiarity with geographic data, operationally intensive businesses, and proficiency in tools like Tableau would be beneficial.

At Relay, we emphasize a culture of learning and growth. As a Senior Data Analyst, you'll be encouraged to take ownership of your work from day one and will have access to development resources and mentorship opportunities. Engage in team socials, workshops, and projects that allow you to expand your skill set. Access to a hybrid working model further supports a balanced professional life, fostering continuous improvement and innovation in your role.

In the Senior Data Analyst role at Relay, you will work with a variety of tools and technologies to facilitate data analysis and visualization. Your technical toolbox will likely include SQL for data querying, well-known business intelligence tools for dashboard creation like Tableau, and possibly Python for data manipulation and analysis. Collaboration with data scientists and engineers means you will also be involved in building data solutions that provide actionable insights to improve our operational network.

Relay boasts a dynamic and collaborative company culture that values team cohesion and individual contributions. As a Senior Data Analyst, you will experience a flexible work environment, including a hybrid model that promotes work-life balance. Enjoy team events that foster camaraderie, such as pottery painting and escape rooms. Additionally, a focus on social responsibility and environmental sustainability is integral to our mission, making Relay not just a workplace but a community dedicated to impactful change.

When answering this question, emphasize specific projects where you utilized SQL for data extraction or analysis. Describe the databases you have worked with, the complexity of your queries, and the insights derived from the data. Provide examples that demonstrate how your SQL skills led to improved operational efficiency or informed significant business decisions.

In your response, outline your process for identifying relevant KPIs, which includes understanding project objectives, consulting with stakeholders, and ensuring alignment with business goals. Discuss how you ensure KPIs are measurable, actionable, and provide a basis for strategic decision-making. Use a past experience to illustrate your methodology in practice.

When responding, select a specific case where you analyzed data, identified trends, and developed actionable recommendations. Explain your methodology, the stakeholders involved, and how you communicated your findings. Highlight the positive outcomes that resulted from your recommendations and any follow-up actions that were implemented.

Discuss your approach to making technical results easily digestible, such as using clear visuals, avoiding jargon, and tailoring your communication style to your audience. Provide examples of successful presentations or reports where you conveyed your insights effectively, ensuring stakeholders could act on your recommendations with confidence.

In your answer, mention the data visualization tools you are proficient with (e.g., Tableau, Power BI), and detail how you assess project needs before choosing a tool. Highlight factors like data type, audience, and desired insights to guide your choice. If possible, provide an example where your selection significantly impacted data understanding or decision-making.

When answering this question, emphasize teamwork and collaboration. Share specific examples of your interactions with different functional teams, such as data scientists, engineers, and operational staff. Discuss how you used data analysis to support their goals and contributed to successful project outcomes through collaborative efforts.

Your response should cover the strategies you use to prioritize tasks, such as assessing urgency and impact, setting clear objectives, and utilizing project management tools. Share an example of a situation where effective time management allowed you to meet deadlines or exceed project expectations in a fast-paced environment.

Select an instance where your analytical skills uncovered a process inefficiency. Describe how you analyzed the data to identify the issue, the recommendations you made, and the results that followed. Illustrate the tangible impact of your recommendation, such as cost savings or improved operational performance.

In your response, reflect on what drives you as a professional. This could include your passion for data, the desire to contribute to impactful projects, or the excitement of working in a fast-evolving field like e-commerce. Connect your motivations to Relay’s mission, highlighting how they align with your professional goals.

Discuss emerging trends in data analysis, such as the increased use of machine learning, the rise of real-time analytics, or greater emphasis on data transparency and ethics. Reflect on how these trends might influence Relay's operations and decision-making processes, and share your thoughts on how you would adapt to or leverage these trends in your role.