Business Intelligence - job 2 of 2

As a Business Intelligence expert at Jellyfish, your main responsibilities include automating data collection processes, defining dashboard solutions, and analyzing data to support marketing strategies for clients. You'll be instrumental in clarifying goals, proposing process improvements, and ensuring optimal alignment of data sources and KPIs with team objectives.

Candidates for the Business Intelligence position at Jellyfish must have over 3 years of experience in data management, expertise in SQL, and familiarity with Google Big Query and Tableau. Experience with paid media data, Google Analytics, and Python for data processing are also highly desirable. Strong teamwork and problem-solving skills are essential to effectively translate client needs into actionable insights.

Jellyfish actively fosters a diverse and inclusive workplace, recognizing that varied perspectives lead to greater innovation. The company emphasizes the importance of individual differences and ensures that all qualified applicants have equal opportunities regardless of personal characteristics. This commitment extends to how we collaborate and drive results in our Business Intelligence team.

At Jellyfish, a Business Intelligence expert should be proficient in tools such as SQL, Google Big Query, and Tableau. Familiarity with Python for building machine learning models and experience in data visualization tools like Looker and Power BI are also beneficial. Understanding digital marketing activation levers is critical for optimizing marketing results.

Jellyfish is committed to the professional growth of its employees and offers numerous development opportunities for Business Intelligence professionals. With access to LinkedIn Learning for unlimited online courses, along with a flexible work environment and supportive policies, employees can tailor their career paths to achieve both personal and professional success.

When answering this question, detail specific projects where you utilized Tableau to create impactful visualizations. Explain how your visualizations helped inform strategic decisions and improved client outcomes. Be prepared to showcase your design process, focusing on how you interpret data to create intuitive dashboards.

In your response, discuss specific tools and methods you have used for automation. Explain how automation impacts efficiency and accuracy in data reporting. Share a specific example of how you implemented an automated solution and the positive impact it had on data management.

Focus on how you translate data into actionable marketing insights. Discuss your experience in identifying key performance indicators (KPIs) and how you analyze data to inform marketing strategies. Use a real-life example that showcases your analytical skills and the impact your work had on marketing outcomes.

Choose a specific challenge from your past work that relates to data analysis or a marketing campaign. Discuss the steps you took to address the issue and highlight your problem-solving skills. Emphasize what you learned from the experience and how it improved your approach to future projects.

Discuss the tools and project management strategies you use to organize data pipelines. Explain your approach to tracking progress and ensuring data integrity, while also ensuring deadlines are met. Share any specific methodologies, like Agile or Kanban, that you employ for effective data management.

Articulate your understanding of how data analytics influence paid media strategies. Talk about how you use data to optimize ad spending and track campaign success. Provide insights on how analytics can guide media buying decisions and get granular with metrics that matter, such as ROAS and CPC.

Emphasize your ability to tailor communication to your audience. Describe techniques for simplifying complex data findings into clear, actionable insights, and provide an example of a time when you successfully conveyed analytical results to a non-technical team. Highlight the importance of storytelling in data presentation.

Discuss how collaboration with cross-functional teams enhances your data analysis capabilities. Share examples of successful collaborations with marketing, sales, or product teams, and detail how teamwork has led to superior campaign outcomes. Highlight your commitment to open communication throughout projects.

Answer this question by detailing your approach to industry research, which may include following thought leaders, attending webinars, or participating in professional organizations. Mention specific resources that are beneficial to your continuous learning and how you apply new knowledge in your role.

Express your vision for the future of digital marketing with a strong data foundation. Discuss emerging trends like AI, machine learning, and predictive analytics, and how they can enhance marketing strategies. Provide your perspective on the evolving role of data professionals in shaping marketing initiatives.