BI (Business Intelligence) Developer

As a BI (Business Intelligence) Developer at Southern Shirt Company, you'll have diverse responsibilities including data management, software implementation, and reporting. You will collect and analyze large datasets to uncover trends, develop and maintain databases, support software integrations, and create insightful reports and visualizations. Additionally, you'll ensure data security and compliance, making your role pivotal in data accuracy and integrity.

To qualify for the BI (Business Intelligence) Developer position at Southern Shirt Company, candidates should possess a Bachelor’s degree in Information Management, Computer Science, or a similar field. A solid experience of 3+ years in a related data role is essential, along with strong skills in SQL and JavaScript. Familiarity with data visualization tools and strong problem-solving capabilities will also enhance your application.

Collaboration is key for BI (Business Intelligence) Developers at Southern Shirt Company. You will work closely with cross-functional teams to identify areas for improvement and recommend data-driven solutions. This teamwork allows for the effective implementation of new software and ensures insights from data analysis are effectively communicated across the organization.

As a BI (Business Intelligence) Developer at Southern Shirt Company, you'll work with a variety of cutting-edge technologies. This includes SQL databases, Google Sheets, Excel, NetSuite (ERP), Celigo (IPaaS), Shopify, BigQuery/Looker, and Metabase. Familiarity with JavaScript for scripting automation is also an important aspect of this role.

Southern Shirt Company fosters a fun, laid-back team culture, especially for BI (Business Intelligence) Developers. You’ll enjoy monthly team lunches, regular outings, and the chance to work in an environment where your contributions have a real impact on the business. This supportive atmosphere encourages collaboration and innovation among team members.

When answering this question, consider detailing your hands-on experience with SQL in your previous roles. You might mention specific projects where you've used SQL for data extraction, transformation, and loading (ETL), as well as how you've optimized complex queries to improve performance and accuracy.

Discuss your methodology for ensuring data quality, such as performing regular audits, establishing data validation rules, and creating automated checks. Give examples of how you've identified and rectified data inconsistencies in past projects to emphasize your attention to detail.

Highlight how you use data visualization tools to transform complex data sets into understandable insights. You can mention specific tools you've used, explain how they help communicate your findings effectively, and provide examples of successful reports or dashboards you've created.

Provide a detailed account of a specific data challenge you encountered, the methods you employed to analyze and address it, and the positive outcome of your efforts. Highlight your problem-solving skills and persistence in overcoming obstacles.

Explain your approach to learning new technologies, such as online courses, certifications, or hands-on practice with new tools. Highlight how staying updated has impacted your professional growth and enhanced your contributions at previous workplaces.

Discuss your organizational skills and techniques for managing your time, such as setting deadlines, breaking tasks into manageable parts, and using project management tools. Provide examples of how you've successfully jugged multiple projects in the past.

Talk about your experience working with different departments and how you facilitate effective communication to achieve common goals. Mention any specific tools or methods you use to ensure collaboration is smooth and productive.

Mention the specific data visualization tools you've worked with, such as Tableau, Looker, or Metabase, and explain why you find them effective in presenting data. Provide examples of how you've used these tools to drive insights in your past projects.

Share your best practices for data security, such as regular compliance audits, training team members on data handling procedures, and implementing robust access controls. Discuss how these practices help safeguard sensitive information in your projects.

Explain your passion for data and its potential to inform decision-making. Share any personal experiences or anecdotes that highlight your fascination with BI and how it drives your work, emphasizing your desire to make a tangible impact through data-driven insights.