Analyst, Marketing Science

As an Analyst, Marketing Science at OMG23, your primary responsibilities will include generating and communicating clear insights, gathering and analyzing data using various analytics tools, ensuring timely client and internal reporting, and working closely with publishers to establish KPIs. You will also be involved in mentoring assistant analysts and collaborating with media planners and strategists to implement data-driven strategies.

Candidates for the Analyst, Marketing Science position at OMG23 are expected to hold a Bachelor’s degree in statistics, mathematics, economics, or related fields, with an advanced degree preferred. Additionally, having 1-2 years of relevant experience, particularly in a quantitative data-driven field, is essential. A strong passion for digital marketing and analytics is also crucial for success in this role.

Important skills for an Analyst, Marketing Science at OMG23 include proficiency with analytics software such as SAS, SPSS, or R, along with knowledge of web analytics tools like Google Analytics and Facebook Business Manager. Strong communication skills, problem-solving abilities, and the capacity to work well in cross-functional teams are equally vital for success.

While prior agency experience is preferred, it is not strictly necessary for candidates applying for the Analyst, Marketing Science position at OMG23. What is crucial is a solid background in a quantitative data-driven field and a desire to learn and grow in digital marketing and analytics.

As an Analyst, Marketing Science at OMG23, you can expect a vibrant hybrid work environment. The role requires you to work in the Burbank office three days a week, fostering collaboration and teamwork, while allowing for two remote workdays. Adaptability and agility are essential in this fast-paced business setting.

When analyzing large data sets as an Analyst, Marketing Science, start by defining the objectives of your analysis. Utilize tools such as Excel or SQL to organize and clean the data. Look for trends and correlations that align with campaign goals, and be prepared to communicate your findings clearly to both technical and non-technical stakeholders.

In your response, describe a specific campaign, the metrics you tracked, and the results of your analysis. Highlight how your insights influenced strategic decisions or improvements to the campaign, underscoring your analytical skills and understanding of marketing objectives.

Mention the analytics tools you're familiar with, such as Google Analytics, SAS, or SPSS. Provide examples of how you've used these tools to analyze data for marketing insights, detailing the specific features or techniques you employed to extract valuable information.

To ensure timely reporting, I prioritize clear communication and establish a reporting timeline at the onset of any campaign. I utilize automated reporting tools whenever possible to streamline the process, ensuring that I can quickly gather and process necessary data. I also maintain ongoing communication with team members to address any issues that may arise.

When faced with challenges in analyzing performance data, I first identify the root of the problem. Whether it's data inconsistencies or technical issues, I collaborate with team members or draw on my analytical skills to troubleshoot. Maintaining a positive attitude and flexibility helps me adapt my approach to resolve issues effectively.

When presenting data findings, I focus on clear visual aids, such as charts and graphs, to illustrate key insights. I tailor my presentation to meet the knowledge level of the audience, emphasizing high-level trends and actionable recommendations. Clear storytelling helps engage stakeholders and reinforces the significance of the data.

Teamwork is crucial in my role as an Analyst, Marketing Science. I collaborate with media planners and strategists to share insights, gather feedback, and refine strategies. This collaborative approach enriches the analysis and leads to more effective campaign outcomes while also providing opportunities for learning from one another.

I am motivated by the fast-paced and dynamic nature of digital marketing analytics. The opportunity to derive insights from data and witness their impact on real-world campaigns drives my passion. Additionally, working with creative teams to craft compelling narratives from data keeps me engaged and inspires continual learning.

I prioritize tasks by assessing deadlines, project significance, and the resources required. I often create a task list and leverage project management tools to track progress, ensuring that I meet all responsibilities without compromising quality. Regular check-ins with my team help align priorities across projects.

To improve a poorly performing campaign, I would first analyze the relevant data to identify key problems. I’d collaborate with team members to brainstorm potential solutions, which could involve adjusting targeting criteria, modifying ad formats, or reallocating budget. Implementing these adjustments while closely monitoring performance ensures swift action.