채용

Assistant Manager - CVM Campaign & Personalization Analyst- Business Consulting - Jordan
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On-site
·
Full-time
·
3w ago
필수 스킬
Go
At EY, we’re all in shape to your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
EY Studio+ brings together business, design and technology expertise to help organizations reimagine marketing, sales and customer experience. With a global network of 7,000 professionals across 50 countries, we deliver human‑centered, data‑driven solutions that fuel growth and create lasting impact.
We are expanding our fast‑growing EY Studio+ MENA team and are seeking talent across multiple skill sets. In these roles, you will help push the boundaries of design, innovation and development, working across industries to solve complex challenges using proven frameworks and methodologies. Join a global community shaping the future of business and technology.
The Opportunity
We are currently hiring for CVM Campaign & Personalization Analyst - (Senior Consultant / Assistant Manager level) to join our Commercial / Customer Value Creation Team.
You will support with client engagements to diagnose, design, and operationalize customer value management (CVM), Personalization and next‑best‑action/offer programs. You’ll help turn data and models into targeted lifecycle campaigns that improve ARPU/CLV and reduce churn, while safeguarding customer experience and regulatory compliance. This role requires hands‑on experience with real customer bases and production campaigns.
Core Responsibilities:
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Client Discovery, Diagnosis & Business Case:
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Support the discovery workshops, data and process assessments, and KPI baseline activity
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Gather the churn, ARPU, activation metrics and support with the business case
CVM Strategy and Roadmap Design:
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Support with the CVM strategy and roadmap design activities
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Translate client commercial goals into segmentation frameworks, eligibility/priority rules, and contact policy registers under guidance
Personalization Architecture & Model Operationalization:
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Analyze customer behavior, usage data, and demographics to create segments and basic propositions
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Help document strategies to reduce churn and increase retention/loyalty
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Embed propensity to churn/buy/uplift scores supplied by the Data Science team in real time/batch decisioning and drive top-line growth through proactive cross-sell/up-sell initiatives
Lifecycle & Campaign Management:
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Support the planning, execution, and optimization of end-to-end marketing campaigns, including personalized offers (SMS, email, app notifications)
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Maintain the templates, audience libraries, and QA checklists
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Experimentation, Measurement and Reporting:
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Set up the test and control methodology for both the pilot programs and full scale launches, define success up front, and assess the results
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Monitor and track the key performance indicators (KPIs) such as churn rate, CLV, and ROI of campaigns
Stakeholder & Change Management:
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Act as a day-to-day liaison with marketing, product, sales, channel and data science teams to ensure consistent customer experience and to productionize propensity/churn/uplift models
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Support the preparation of leadership reports, manage RAID logs and ensure audit ready documentation
Qualification Requirements:
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3 to 5 years’ experience in CVM/Personalization and campaign management with hands-on experience in managing real campaigns on production data
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Experience in experiment design (holdouts, stratification) and measuring incremental value
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Strong analytical skills and commercial acumen to deliver measurable business results
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In‑house CVM experience at a corporate entity or multi‑client campaign/personalization project work within a top consulting hub
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Structured problem‑solving, client facilitation and support the executive narrative
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Clear communication, ability to follow runbooks and document decisions for audit
Technical Expertise:
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Campaign orchestration platforms (any): Experience with one of Salesforce Marketing Cloud, Adobe Campaign, Braze, Unica, SAS CI 360, or Pega Customer Decision Hub is preferred
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BI/Reporting (any): Power BI, Tableau
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Languages (any): SQL, basic Python or R is a plus
What we look for
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
Are you ready to shape your future with confidence? Apply today.
To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
직원 수
London
본사 위치
리뷰
3.4
10개 리뷰
워라밸
2.3
보상
3.7
문화
4.1
커리어
3.8
경영진
3.2
65%
친구에게 추천
장점
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
단점
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
연봉 정보
31,254개 데이터
Mid/L4
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1,738개 리포트
$142,571
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기본급
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주식
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보너스
$5,673
$100,128
$203,912
면접 경험
7개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
57%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
자주 나오는 질문
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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