Company description
(m)PHASIZE is a global analytics company that identifies where to make marketing investments that enable profitable business growth. (m)PHASIZE has developed better approaches for maximizing the effectiveness and ROI of marketing investments. Our game changing analytic innovation takes a wide angle view of the marketplace, measuring the impact of offline & online channel synergies and identifying the right marketing mix to engage consumers in a meaningful way and differentiate from the competition. Our highly experienced marketing consultants have a proven track record of delivering significant improvements in marketing effectiveness & ROI by showing our clients what else is possible rather than what has already been done.
Overview
About
Marketing is the cornerstone of brand growth, yet a financial investment. Accordingly, brands assess marketing's influence on sales/profit, brand equity, and financial brand value. (m)PHASIZE is a brand analytics and marketing effectiveness consultancy that guides every marketing investment to count. Our clients discover what marketing budget, mix, messaging, and positioning would outperform the competition. Our Fortune 1000 clients have experienced 15% or more improvements in marketing returns, whereas fast-growing start-ups have accelerated their market positioning with a cumulative increase in marketing returns.
Who you'll work with
Imagine a role that challenges and grows your critical thinking, problem-solving, and analytical creativity. You will tackle intriguing business and marketing problems alongside warm, supportive, and bright colleagues. The team at (m)PHASIZE consists of brand analytics and marketing effectiveness consultants with an average of ten years of experience in identifying marketing budgeting and positioning that help clients outperform their competition.
What you'll do
As an Associate Consultant, you'll combine analytical, business management, creative thinking, interpersonal, and leadership skills, developing each over time. Be in the thick of the actions to business and marketing questions like:
How much should I invest in marketing to meet business goals?
What brands, products, and seasons were most profitable, and why?
What marketing levers do I increase or decrease to enhance overall profitability?
What competitive, cultural, economic, perceptional, and social factors influence sales gain or loss?
What marketing budget, mix, and positioning help meet business goals?
Responsibilities
To address these critical questions, you will become adept in:
Mathematical modeling
Creating econometric models to estimate marketing-driven sales and return on investment (ROI)
Implementing machine learning (ML) to forecast consumer response and future ROIs
Diagnosing mathematical integrity and actionable business implications from model results
Business and marketing insights
Identifying brand, category, and competitive information that explains clients' sales
Evaluating media budget, media mix, and media buys to address sales from media
Assessing target customers and audience to shape future brand and media strategies
Business communication and project management
Interviewing clients' teams and marketing partners
Training of effective and succinct presentation abilities
Timely tracking of data and information gathering and delivery of modeling projects
Qualifications
General prerequisites
Recent graduate with two or less years of experience in data science, consulting, or marketing analytics
A team player who is also an independent thinker; recognition that value comes from a collective effort
Strong analytical skills with curiosity and a willingness to think the impossible
Deadline-driven, organized, and capable of multi-tasking
Strong verbal and written skills with an interest in presentations
Preferred background
Coursework in econometrics, machine learning, multivariate analysis, and/or time series analysis
Proficiency or familiarity with open-source modeling languages, such as R or Python
Proficiency or familiarity with data and spreadsheet tools like MS Excel/PPT, SQL, and/or Tableau
Any prior interest or knowledge in marketing science topics and advertising/media data
A bachelor's degree is required; a master's degree in quantitative discipline is a plus
Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com .
Compensation Range: $54,910 - $83,145. 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 the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 5/15/25
All your information will be kept confidential according to EEO guidelines.
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