Data Analyst

A Data Analyst at Nine plays a crucial role in analyzing advertiser and agency revenue data, developing reporting solutions, and creating interactive dashboards to convey sales trends and key performance indicators. This role also involves automating reporting processes and ensuring data quality to help stakeholders make informed decisions.

To qualify for the Data Analyst role at Nine, candidates should have strong experience in data analysis and reporting, proficiency in SQL, BigQuery, Tableau, and Excel, as well as a degree in Data Science, Management Information Systems, or Information Technology. A keen eye for detail and great communication skills are essential for translating data insights into business value.

Data Analysts at Nine primarily use tools such as BigQuery, SQL, Tableau, Power Query, and Excel. These platforms are essential for data analysis, reporting, and visualization to facilitate data-driven decision-making across the organization.

Nine is committed to fostering a diverse and inclusive workplace. They encourage applications from various backgrounds and communities, including Aboriginal and Torres Strait Islander people, people with disabilities, and individuals of all ages and genders. This commitment to diversity extends to the recruitment process, where adjustments can be made as needed to support all candidates.

The annual salary for the Data Analyst position at Nine ranges from $95,000 to $100,000. This competitive salary reflects Nine's commitment to attracting top talent in the industry who can drive insights and innovations in data analysis.

In responding to this question, highlight specific tools you've used, such as Tableau and Power BI. Explain how you have utilized these tools to create dashboards that effectively communicate insights and trends to stakeholders, emphasizing the importance of data storytelling.

Discuss your processes for data validation and quality checks, such as conducting User Acceptance Testing (UAT). Mention the importance of automation in reporting to minimize human errors and ensure reliability in data analysis.

Provide a specific example where you took intricate data analysis and distilled it into key takeaways for a non-technical audience. Highlight your communication skills and how you created recommendations based on your findings.

Explain your team-focused mindset, detailing how you actively engage with other departments to capture their data needs and provide insights that drive their objectives. Stress the importance of open communication and adaptability in these collaborations.

Describe your method for assessing urgency and impact for each request, and how you communicate timelines and expectations to stakeholders. Being organized and transparent in prioritizing requests is crucial, along with the ability to negotiate timelines.

Share a notable project where your analysis led to significant business improvements. Discuss the tools you used, the insights you derived, and how your recommendations influenced decision-making within the company.

Explain your commitment to continuous learning, mentioning relevant online courses, webinars, and industry publications you follow. This shows your proactive approach to staying ahead in a constantly evolving field like data analysis.

Provide a specific example illustrating your problem-solving skills. Discuss the challenge, your analytical approach, the tools used, and the resolution, emphasizing your critical thinking and adaptability.

Discuss the extent of your SQL skills, including complex queries you've written, and any experience with performance tuning. Emphasize your ability to manipulate and analyze data efficiently while ensuring accuracy.

Identify relevant KPIs such as audience engagement metrics, revenue per advertiser, and ROI on advertising campaigns. Discuss why these metrics matter and how they can drive business strategy at Nine.