Omnicom Media Group US
Omnicom Media Group (OMG), the media services division of Omnicom Group Inc. (NYSE: OMC) - delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OMG connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world's leading brands in OMG agencies around the globe.
The Business Analytics team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients' business goals. Responsibilities
External facing responsibilities:
Build and develop a deep understanding of the client's strategic issues, initiatives and their competitive position. Participate in measurement plan development and execution for cross-channel campaigns, showing understanding of KPIs per channel and role of each channel in its funnel stage Exceptional organizational skills with a process-driven mindset and proven project management capabilities, ensuring adherence to timelines and deliverables Confident presenter with experience presenting reports, POVs and other materials to clients on a regular basis over the phone and in person Design and measure A/B tests and/or incrementality testing to measure the impact of media on business outcomes. Clearly outlining hypothesis and impact of learnings to inform ongoing media testing roadmaps and strategies. Contribute to consumer segmentation and audience identification and exploration processes. Internal facing responsibilities:
Lead and mentor direct reports: continually assess capabilities, provide a roadmap for career growth and institute SMART goals to build or expand skills. Introduce or participate in the optimization of recurring process to streamline workflows Partner with the Planning and Investment teams on annual budget setting, media plan development, KPI alignment, reporting cadence and ongoing optimizations. Keep in front of industry trends and developments by conducting research, meeting with analytics vendors, engaging in training and attending industry events. Share projects with internal marketing sciences teams as a part of knowledge sharing initiatives Manage cross-functional day-to-day tasks, ensuring understanding of proper priorities, knowing when to ask for help. Competencies
High Rigor
- Definition: A disciplined approach to thinking, analysis, and evaluation, grounded in evidence and logic. Working in a conscientious, consistent, and thorough manner to deliver precision, accuracy, and error-free work. Level summary: Monitors and verifies the work of others for accuracy and completeness.
Bias for Action
- Definition: Speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk taking. Level summary: Consistently takes action and makes decisions in a proactive and timely manner.
Ownership
- Definition: Taking responsibility and ownership of your work, decisions, and outcomes. Knowing when to collaborate to drive resolution. Level summary: Taking initiative and going beyond assigned responsibilities.
Drive Results
- Definition: Focusing efforts on achieving high-quality results consistent with or exceeding standard expectations. Level summary: Consistently demonstrates the ability to set clear objectives and prioritize actions to achieve results
Customer Obsessed
- Definition: Everything starts with the customer, we work backwards from the customer/target audience to develop insight-lead strategies. Level summary: Consistently demonstrates a customer-first mindset in interactions and decision-making.
Marketing Metrics
- Definition: Measuring and controlling the performance of the marketing strategy to achieve the maximum return on investment. Level summary: Applies the competency in the full range of typical situations, requiring guidance in only new or complex situations.
Market Research and Consumer Behavior
- Definition: Collecting and analyzing relevant market and consumer data to inform and reshape the organization's marketing strategy. Level summary: Applies the competency in the full range of typical situations, requiring guidance in only new or complex situations.
Team Leadership
- Definition: Assuming a leadership role in helping others achieve excellent results. Level summary: Builds strong teams.
Data Literacy
- Definition: Using data to gain insights, solve problems, and inform decisions. Level summary: Uses data to develop insights in a range of activities.
Insights Analytics - Definition: Aligning data strategy and insights with business applications. Level summary: Applies the competency in the full range of typical situations, requiring guidance in only new or complex situations.
Data Visualization and Presentation
- Definition: Creating compelling visual narratives to present the findings of data analyses. Level summary: Applies the competency in the full range of typical situations, requiring guidance in only new or complex situations. Required Skills Industry Knowledge in marketing analytics and data (attribution modeling, MMM, cookieless technology, 1P/3P data, brand lift studies, aggregated and user level data, etc.) Ability to train and coach colleagues for growth: being organized and detail oriented, prioritizing work, business writing & presenting, conducting analysis, and project management (scope, budgeting, timing) Solution development: analytics skills, critical thinking and clarifying strategic & operational issues as related to data and analytics. Problem-solving skills to drive issues to resolution. Understanding of audience-based marketing and expertise in data-driven advertising Experienced in managing brand lift studies end-to-end, including survey design, data collection, and comprehensive analysis to derive actionable insights Experienced user in Datorama or other comparable business intelligence platforms. Comfortable with media platforms and web analytics platforms like Adobe Analytics, Facebook Ads Manager, SEM platforms and programmatic DSPs Proficient in Excel with expertise in advanced functions such as VLOOKUPs, classification tables, and pivot tables to support complex data analysis and reporting Education and Experience A university degree and 3-4 years of data and analytics experience in advertising, management consulting, marketing or digital consulting Knowledge of agency-side media campaign planning and execution process is desirable, but not required
#LI-CM1
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). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$50,000-$95,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
Review Our Recruitment Privacy Notice
The Business Analytics team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients' business goals. Responsibilities
External facing responsibilities:
Build and develop a deep understanding of the client's strategic issues, initiatives and their competitive position. Participate in measurement plan development and execution for cross-channel campaigns, showing understanding of KPIs per channel and role of each channel in its funnel stage Exceptional organizational skills with a process-driven mindset and proven project management capabilities, ensuring adherence to timelines and deliverables Confident presenter with experience presenting reports, POVs and other materials to clients on a regular basis over the phone and in person Design and measure A/B tests and/or incrementality testing to measure the impact of media on business outcomes. Clearly outlining hypothesis and impact of learnings to inform ongoing media testing roadmaps and strategies. Contribute to consumer segmentation and audience identification and exploration processes. Internal facing responsibilities:
Lead and mentor direct reports: continually assess capabilities, provide a roadmap for career growth and institute SMART goals to build or expand skills. Introduce or participate in the optimization of recurring process to streamline workflows Partner with the Planning and Investment teams on annual budget setting, media plan development, KPI alignment, reporting cadence and ongoing optimizations. Keep in front of industry trends and developments by conducting research, meeting with analytics vendors, engaging in training and attending industry events. Share projects with internal marketing sciences teams as a part of knowledge sharing initiatives Manage cross-functional day-to-day tasks, ensuring understanding of proper priorities, knowing when to ask for help. Competencies
High Rigor
- Definition: A disciplined approach to thinking, analysis, and evaluation, grounded in evidence and logic. Working in a conscientious, consistent, and thorough manner to deliver precision, accuracy, and error-free work. Level summary: Monitors and verifies the work of others for accuracy and completeness.
Bias for Action
- Definition: Speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk taking. Level summary: Consistently takes action and makes decisions in a proactive and timely manner.
Ownership
- Definition: Taking responsibility and ownership of your work, decisions, and outcomes. Knowing when to collaborate to drive resolution. Level summary: Taking initiative and going beyond assigned responsibilities.
Drive Results
- Definition: Focusing efforts on achieving high-quality results consistent with or exceeding standard expectations. Level summary: Consistently demonstrates the ability to set clear objectives and prioritize actions to achieve results
Customer Obsessed
- Definition: Everything starts with the customer, we work backwards from the customer/target audience to develop insight-lead strategies. Level summary: Consistently demonstrates a customer-first mindset in interactions and decision-making.
Marketing Metrics
- Definition: Measuring and controlling the performance of the marketing strategy to achieve the maximum return on investment. Level summary: Applies the competency in the full range of typical situations, requiring guidance in only new or complex situations.
Market Research and Consumer Behavior
- Definition: Collecting and analyzing relevant market and consumer data to inform and reshape the organization's marketing strategy. Level summary: Applies the competency in the full range of typical situations, requiring guidance in only new or complex situations.
Team Leadership
- Definition: Assuming a leadership role in helping others achieve excellent results. Level summary: Builds strong teams.
Data Literacy
- Definition: Using data to gain insights, solve problems, and inform decisions. Level summary: Uses data to develop insights in a range of activities.
Insights Analytics - Definition: Aligning data strategy and insights with business applications. Level summary: Applies the competency in the full range of typical situations, requiring guidance in only new or complex situations.
Data Visualization and Presentation
- Definition: Creating compelling visual narratives to present the findings of data analyses. Level summary: Applies the competency in the full range of typical situations, requiring guidance in only new or complex situations. Required Skills Industry Knowledge in marketing analytics and data (attribution modeling, MMM, cookieless technology, 1P/3P data, brand lift studies, aggregated and user level data, etc.) Ability to train and coach colleagues for growth: being organized and detail oriented, prioritizing work, business writing & presenting, conducting analysis, and project management (scope, budgeting, timing) Solution development: analytics skills, critical thinking and clarifying strategic & operational issues as related to data and analytics. Problem-solving skills to drive issues to resolution. Understanding of audience-based marketing and expertise in data-driven advertising Experienced in managing brand lift studies end-to-end, including survey design, data collection, and comprehensive analysis to derive actionable insights Experienced user in Datorama or other comparable business intelligence platforms. Comfortable with media platforms and web analytics platforms like Adobe Analytics, Facebook Ads Manager, SEM platforms and programmatic DSPs Proficient in Excel with expertise in advanced functions such as VLOOKUPs, classification tables, and pivot tables to support complex data analysis and reporting Education and Experience A university degree and 3-4 years of data and analytics experience in advertising, management consulting, marketing or digital consulting Knowledge of agency-side media campaign planning and execution process is desirable, but not required
#LI-CM1
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). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$50,000-$95,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
Review Our Recruitment Privacy Notice