채용

Marketing Operations Consultant, Specialist
Malvern; Arizona; North Carolina
·
On-site
·
Full-time
·
4d ago
Required Skills
Python
SQL
Tableau
As the Marketing Campaign Strategist on the Campaign Strategy and Audience Management team, you will be responsible for partnering with our Product Owners, Marketing Managers, and Analytics teams to help provide guidance and expertise around identifying the most optimal solutions for campaign targeting, channel strategy, and segmentation. You will have experience aggregating, manipulating, and analyzing data while also strategizing around the implementation of data driven analytics for targeted Personal Investor (PI) Marketing initiatives.
Responsibilities
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Leverage tools such as Redpoint Interaction (RPI), Adobe Experience Platform (AEP), SQL, and Python to aggregate, analyze, and activate data for targeted marketing audiences (proficiency in one or more required).
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Balance strong technical skills (data aggregation, analysis, and manipulation) with consultative skills, including strategic advising, prioritization, stakeholder communication, and effective time management.
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Provide thought leadership and strategic guidance on campaign targeting, segmentation, and channel strategy, using data‑driven analysis to support marketing and business goals.
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Partner closely with Marketing stakeholders, Product Owners, Analytics teams, and Campaign Developers to identify optimal audience strategies and campaign solutions.
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Collaborate with Analytics teams (including CDAO and PI Marketing Analytics) to apply modeling and advanced analytics that improve campaign effectiveness and efficiency; develop deep expertise in the analytic products available to Retail Marketing.
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Design and support test‑and‑learn strategies in partnership with analysts, ensuring each test has clear objectives, appropriate controls, and actionable insights for future rollout.
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Work with Campaign Developers to size potential target populations and build final campaign audiences by collecting and aggregating data from multiple sources; become a subject‑matter expert in the data required to create targeted marketing populations.
Qualifications
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Minimum five years related work experience.
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Undergraduate degree or equivalent combination of training and experience.
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Must have strong strategic mindset, project prioritization and relationship management skills.
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Experience with Red Point or other campaign tools (Unica or Adobe) is preferred, but not mandatory.
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SQL and/or Python experience is a plus.
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Experience with GUI analytics tools (Cognos, Tableau) is helpful.
Additional Information:
This position can be located in PA, NC, or AZ.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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About Vanguard
Reviews
3.4
3 reviews
Work Life Balance
2.5
Compensation
3.2
Culture
2.8
Career
3.5
Management
3.0
45%
Recommend to a Friend
Pros
Competitive compensation package with bonuses
Good foundation for career development
Interesting programs aligned with education
Cons
Long commute requirements (2.5 hours)
Mandatory on-site presence multiple days
Pay below industry standards
Salary Ranges
1,532 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Processing Associate
135 reports
$57,471
total / year
Base
$53,433
Stock
-
Bonus
$4,038
$45,260
$73,912
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter/HR Phone Screen
3
Technical/Case Study Round
4
Final Round Interview
5
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Case Study
Past Experience
Culture Fit
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