🔹 Job Title: Assistant Analyst, Marketing Science
🔹 Company: Omnicom Media Group US (OMG23)
🔹 Location: Burbank, California
🔹 Job Type: Hybrid (3 days in-office, 2 days remote)
🔹 Category: Marketing Science
🔹 Date Posted: May 20, 2025
🔹 Experience Level: Entry-level (0-2 years)
🔹 Remote Status: Hybrid
🚀 Job Overview
As an Assistant Analyst, Marketing Science at OMG23, you will:
- Transform vast data sets into actionable insights to inform strategy and drive campaign performance.
- Collaborate with media planners and strategists to implement data-driven strategies alongside a team of industry experts.
- Gather and organize data from various third-party platforms and analytics tools.
- Analyze data to formulate relevant insights and provide actionable recommendations to internal teams and clients.
- Ensure timely and accurate reporting to stakeholders.
- Continuously improve processes and build foundational knowledge about media tactics, terminology, and executional processes.
- Master key media/marketing analytics fundamentals and principles, and become proficient with necessary media data sources/tools/utilities.
ASSUMPTION: This role requires a strong analytical mindset, attention to detail, and the ability to work well under pressure. The ideal candidate will be proactive, self-motivated, and able to manage multiple tasks concurrently.
📋 Key Responsibilities
✅ Data Gathering and Organization:
- Gather and organize data from various third-party platforms and analytics tools.
- Ensure data accuracy and integrity for analysis.
✅ Data Analysis and Insights:
- Analyze data to identify trends, patterns, and correlations.
- Formulate relevant insights and provide actionable recommendations to internal teams and clients.
- Communicate complex data findings clearly and concisely to multiple audiences.
✅ Reporting and Timeliness:
- Prepare and deliver client-facing and internal reports in a timely manner.
- Ensure reports are accurate, well-structured, and visually appealing.
✅ Process Improvement:
- Identify opportunities to continuously improve data gathering, analysis, and reporting processes.
- Implement process improvements to enhance efficiency and accuracy.
ASSUMPTION: The ideal candidate will have strong analytical skills, attention to detail, and the ability to work well under pressure. Excellent communication skills, both written and verbal, are essential for this role.
🎯 Required Qualifications
Education:
- Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences, or a related field.
Experience:
- 0-1 years of relevant experience in a quantitative data-driven field.
Required Skills:
- Proficiency in Microsoft Excel and PowerPoint.
- Strong analytical and problem-solving skills.
- Excellent communication skills, both written and verbal.
- Ability to articulate and communicate clearly in internal and client-facing meetings.
- Demonstrated ability to manage multiple tasks and prioritize workloads.
- Ability to work well in a team environment and collaborate with cross-functional teams.
Preferred Skills:
- Familiarity with ad-serving tools (Google Campaign Manager, Innovid, Google AdWords, Facebook Business Manager, Twitter Analytics, IAS).
- Experience with SQL and database design concepts.
- Proficiency in HTML and JavaScript.
- Knowledge of media/marketing analytics fundamentals and principles.
ASSUMPTION: Candidates with relevant internship experience or coursework in data analysis, statistics, or a related field are encouraged to apply.
💰 Compensation & Benefits
Salary Range: $40,000 USD (This is the pay range the company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living).)
Benefits:
- Health insurance, vision insurance, dental insurance.
- 401(k) with company match.
- Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account.
- Vacation days, sick days, personal days, paid parental leave, paid medical leave.
- STD/LTD insurance benefits.
Working Hours: Full-time (40 hours per week) with flexible scheduling options.
ASSUMPTION: The salary range provided is an estimate and may vary based on the candidate's qualifications, experience, and the company's internal policies. Benefits are subject to change and may be influenced by the company's policies and the employee's eligibility.
📌 Applicant Insights
🔍 Company Context
Industry: Advertising Services
Company Size: Medium (201-500 employees)
Founded: 2014
Company Description: OMG23 is the Omnicom Media Group agency dedicated to Walt Disney Studios, Disney+, and multiple television networks. At OMG23, we have the privilege of partnering with Disney on the planning, buying, and implementation of its integrated ad campaigns for some of the entertainment industry’s most iconic brands. Our team works on titles distributed under various banners, including Walt Disney Studios, Marvel Studios, Lucasfilm, Pixar Animation Studios, Walt Disney Animation Studios, 20th Century, and Searchlight. We are also proud to be Disney’s Agency of Record for their premier television networks, including ABC, ABC News, Disney Channels, Freeform, National Geographic, and FX.
Company Specialties: Media planning, media buying, integrated advertising campaigns, entertainment industry expertise.
📊 Role Analysis
Career Level: Entry-level to mid-level (depending on experience)
Reporting Structure: This role reports directly to the Marketing Science Manager or a similar role within the organization.
Work Arrangement: Hybrid (3 days in-office, 2 days remote) with flexibility to align with team needs and business requirements.
Growth Opportunities: This role offers opportunities to grow within the Marketing Science team, as well as potential career paths in media planning, media buying, or other related fields within the advertising industry.
ASSUMPTION: The ideal candidate will be eager to learn, proactive, and committed to long-term growth within the company.
🌍 Location & Work Environment
Office Type: Hybrid (combination of on-site and remote work)
Office Location(s): 4000 W Alameda Ave, Burbank, California 91505, US
Geographic Context: Burbank is located in the Greater Los Angeles area, offering a mix of urban and suburban environments. The city is known for its vibrant entertainment industry, with numerous film and television studios based in the area.
Work Schedule: Full-time (40 hours per week) with flexible scheduling options to accommodate hybrid work arrangement.
ASSUMPTION: The ideal candidate will be comfortable working in a hybrid environment and able to manage their time effectively between on-site and remote work.
💼 Interview & Application Insights
Typical Process:
1. Online application submission.
2. Phone or video screening.
3. In-person or virtual interview with the hiring manager.
4. Final interview with the Marketing Science Manager or a senior team member.
5. Background check and offer extension.
Key Assessment Areas:
- Analytical skills and problem-solving abilities.
- Communication skills, both written and verbal.
- Cultural fit and team dynamics.
- Technical skills, including proficiency in relevant software and tools.
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
- Prepare for behavioral interview questions that focus on problem-solving, communication, and teamwork skills.
- Research the company and the role to demonstrate your enthusiasm and understanding of the position.
ATS Keywords: Data analysis, marketing science, campaign performance, media planning, media buying, advertising campaigns, entertainment industry, hybrid work, data gathering, data analysis, reporting, process improvement, teamwork, communication skills, problem-solving, critical thinking.
ASSUMPTION: The ideal candidate will be proactive, self-motivated, and able to navigate the application process independently.
🛠️ Tools & Technologies
- Microsoft Excel and PowerPoint
- Ad-serving tools (Google Campaign Manager, Innovid, Google AdWords, Facebook Business Manager, Twitter Analytics, IAS)
- SQL and database design concepts
- HTML and JavaScript
- Media data sources/tools/utilities
- Third-party platforms and analytics tools
ASSUMPTION: The ideal candidate will be comfortable learning and utilizing new tools and technologies as needed for the role.
👔 Cultural Fit Considerations
Company Values:
- Creativity and innovation
- Collaboration and teamwork
- Accountability and integrity
- Continuous learning and improvement
- Diversity, equity, and inclusion
Work Style:
- Fast-paced and dynamic environment
- Cross-functional team collaboration
- Data-driven decision-making
- Strong focus on client relationships and client service
- Agile and adaptable approach to work
Self-Assessment Questions:
1. How do you approach learning new tools and technologies to improve your work efficiency?
2. Can you provide an example of a time when you had to manage multiple tasks and prioritize your workload effectively?
3. How do you ensure the accuracy and integrity of data when working with large datasets?
4. How do you communicate complex data findings clearly and concisely to non-technical stakeholders?
5. How do you handle feedback and criticism, and use it to improve your performance?
ASSUMPTION: The ideal candidate will be able to demonstrate alignment with the company's values and work style, and provide specific examples of their problem-solving skills and adaptability.
⚠️ Potential Challenges
1. Working with large datasets and complex data structures.
2. Managing multiple tasks and prioritizing workloads in a fast-paced environment.
3. Collaborating with cross-functional teams and stakeholders with varying levels of technical expertise.
4. Adapting to changes in data sources, tools, or processes.
5. Balancing on-site and remote work responsibilities in a hybrid work environment.
ASSUMPTION: The ideal candidate will be able to address these challenges proactively and demonstrate resilience in the face of obstacles.
📈 Similar Roles Comparison
1. Assistant Analyst, Marketing Science vs. Junior Data Analyst:
- Both roles focus on data analysis and insights, but the Assistant Analyst role is more specific to the marketing and advertising industry.
- The Junior Data Analyst role may be more general and applicable to various industries.
2. Industry-specific context:
- The entertainment industry is dynamic and fast-paced, with a strong focus on data-driven decision-making and continuous innovation.
- The role requires a deep understanding of media tactics, terminology, and executional processes specific to the advertising industry.
3. Career path comparison:
- The Assistant Analyst, Marketing Science role is a stepping stone to mid-level and senior roles within the Marketing Science team, as well as potential career paths in media planning, media buying, or other related fields within the advertising industry.
- The Junior Data Analyst role may offer more diverse career paths, depending on the industry and the specific organization.
ASSUMPTION: The ideal candidate will be able to compare and contrast these roles and industries, and make informed decisions about their career trajectory.
📝 Sample Projects
1. Analyzing campaign performance data to optimize ad spend and maximize ROI for a major motion picture release.
2. Developing a predictive model to forecast viewership for a new television series launch.
3. Conducting a competitive analysis to identify market trends and opportunities for a streaming service's original content strategy.
4. Creating a dashboard to monitor and track key performance indicators (KPIs) for a client's integrated advertising campaign.
5. Collaborating with a cross-functional team to develop and implement a data-driven attribution model for a multi-channel marketing campaign.
ASSUMPTION: The ideal candidate will be able to provide specific examples of their experience with similar projects and demonstrate their ability to apply data-driven insights to real-world business problems.
❓ Key Questions to Ask During Interview
1. What are the most important qualities you look for in an Assistant Analyst, Marketing Science candidate?
2. How does this role fit into the overall Marketing Science team and the organization's long-term goals?
3. What are the most challenging aspects of this role, and how can the ideal candidate overcome these challenges?
4. How does the company support the professional development and growth of its Marketing Science team members?
5. What are the key priorities for this role in the first 30, 60, and 90 days?
ASSUMPTION: The ideal candidate will be proactive, inquisitive, and able to ask insightful questions that demonstrate their understanding of the role and their commitment to long-term growth within the company.
📐 Next Steps for Applicants
To apply for this position:
1. Submit your application through [this link](https://omg.com/careers/us/omg23?gh_jid=4736960007).
2. Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
3. Prepare for behavioral interview questions that focus on problem-solving, communication, and teamwork skills.
4. Research the company and the role to demonstrate your enthusiasm and understanding of the position.
5. Follow up with the hiring manager or the HR representative within one week of your interview to express your continued interest in the role.
⚠️ Disclaimer: This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
