Omnicom Media Group US PHD
PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work.
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. 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 - CM#1
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
$75,000-$90,000 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. 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 - CM#1
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
$75,000-$90,000 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