Sr. Data Analyst

As a Senior Data Analyst at Platform Science, your main responsibilities include processing large datasets to derive strategic insights, collaborating with product and engineering teams to develop and analyze KPIs, creating data visualizations, and mentoring junior analysts. You'll leverage advanced SQL skills and tools like dbt and Looker to filter and interpret complex data, ensuring the organization makes data-informed decisions.

For the Senior Data Analyst role at Platform Science, candidates should have at least 5 years of experience in data analysis and 3 years of experience with reporting and visualization tools such as Looker or Tableau. Advanced SQL skills are essential, as well as a BS degree in a relevant field such as Mathematics, Computer Science, or Statistics. Additional expertise in Python and statistical packages is a plus.

The Senior Data Analyst at Platform Science plays a critical role in fostering a team environment by mentoring other data team members, encouraging collaboration with cross-functional teams, and promoting a culture of data-informed decision-making. Your efforts will not only improve individual skill sets but also impact overall team performance and creativity.

Senior Data Analysts at Platform Science work with cutting-edge tools in their modern data stack, such as dbt, Snowflake, and Looker. These platforms allow analysts to efficiently process data, create insightful visualizations, and share findings that drive business-critical decisions.

Platform Science offers an extensive benefits package to Senior Data Analysts, including medical, dental, and vision insurance, 401k plans, paid vacation, and extensive parental leave. Additionally, the company prioritizes employee well-being and professional growth, ensuring a supportive work environment.

In your response, highlight specific SQL queries you've created, such as complex joins or CTEs, and how these queries helped you derive meaningful insights from data. Provide examples of how your SQL skills have contributed to key business decisions, showcasing your analytical prowess.

Discuss your experience with tools like Looker or Tableau, emphasizing any dashboards or reports you've created. Explain how these visualizations informed decision-making processes and led to actionable insights for your team or organization.

Share your methodology for data cleaning, including techniques to filter and transform data. Highlight the importance of data quality in your analysis and how you've addressed data inconsistencies or inaccuracies in previous projects.

Provide a detailed example of a project, outlining your role, the data sources used, the analytical methods applied, and the outcomes. Be sure to mention the impact your analysis had on the organization or a specific team.

Discuss your approach to managing time and prioritizing tasks, including your methods for assessing urgency and importance. Share specific strategies for balancing multiple projects while ensuring high-quality analysis.

Offer an example where you simplified complex data for a non-technical audience. Discuss how you approached this by creating visual aids or using anecdotes, and the positive outcomes that followed from improved understanding.

Detail your experience with statistical analysis, including any tools or programming languages you've used, such as Python or R. Describe projects where you applied statistical methods to draw conclusions or predictions from data.

Explain your process for aligning data analysis with business objectives, including collaborating with stakeholders to understand their goals. Provide examples of how you tailored your findings to meet specific business needs.

Share your commitment to continuous learning, such as taking online courses, attending workshops, or following industry leaders. Highlight specific resources or communities that keep you informed about the latest trends and technologies in data analysis.

Discuss your alignment with Platform Science’s mission and values, touching on your passion for data and the impact it can have on the transportation industry. Highlight aspects of their culture or projects that resonate with you, emphasizing your desire to contribute meaningfully.