Account Manager Support - Portugal

WTW; Lisboa; Hybrid; EUR 35,000 - 55,000; Full time

Job summary

WTW Rewards Data Intelligence Practice is seeking an Account Manager Support to help grow client relationships across Europe. You will assist in survey, remuneration and benefits projects, and support the data analytics and AI-enabled job matching initiatives to serve client needs.

In this role you will collaborate with the Data & Analytics team, contribute to proposals, and help deliver compensation studies and pay benchmarking. Strong organization and client-facing skills are essential.

Qualifications

• Strong client relationship management and focus on quality service.
• Experience with data management and HR-related data is a plus.
• Proficient in MS Excel, Word and PowerPoint; handling databases or statistical software is a plus.

Responsibilities

• Provide survey, reward, and compensation consulting support to clients.
• Assist in growing the team’s profitability and manage client relationships across Europe.
• Support development of survey and data analytics offerings for clients across industries.
• Collaborate with Data & Analytics teams to provide market benchmarking insights.

Skills

Client relationship management

Data management

MS Excel

PowerPoint

Communication (English)

Education

Bachelor's degree or equivalent

Tools

Co-pilot

Job description

Description

The Business

WTW Rewards Data Intelligence Practice is a leading provider of compensation, benefits, and employment practices information to the global employer community.

Covering more than 100 countries across six continents, our data centres in North America, Europe, Middle East and Africa, Asia Pacific and Latin America annually compile reports on the remuneration, benefits and employment practices of local and multinational companies.
Our portfolio of products and customized services helps organizations to:

• Develop cost-effective salary and benefit packages.
• Stay up to date with the latest HR developments.
• Ensure compliance with local laws and customs.
• Assess and compare the costs of employment within and across regions.

The Role

• Primarily providing survey, reward and compensation consulting support to existing and new clients, the role will be assisting the growth and profitability of the team by being responsible for:
• 1.Managing and supporting client relationships with local or allocated European participants and prospects throughout the full survey cycle. Assist in supporting WTW’s upcoming AI journey of automated job matching to support clients’ ad-hoc needs and their data submission process
• 2.Supporting the development of our survey and data analytics offering to clients across industry sectors.
• 3.Act as analytical support to the local RDI team, Industry team or European survey hubs, (tracking year-on-year survey participations, data quality and data analysis).
• 4.Support the delivery of compensation-based project work such as salary structure development, compensation and benefits reviews and conducting pay assessments and bespoke surveys
• 5.Coordinate with the Data & Analytics team to provide clients with market benchmarking on different pay elements (e.g., base pay, bonus), using sources such as survey data and published reports
• 6.Support Job Evaluation projects (utilizing our propriety methodology and state-of-the-art AI-enabled technology) and Equal Pay work across the wider RDI team
• 7.Support Pay Transparency projects by collecting and validating data, analyzing pay gaps, reviewing job architectures and pay structures, and preparing client deliverables that meet applicable regulatory requirements.
• 8.Support clients in leveraging WTW’s Data Science capabilities to review an organization’s approach to managing knowledge and skills, using AI-enabled market scans to provide clients with insight into prevalent and emerging skills.
• 9.Support the wider RDI team in writing proposals, industry trends and utilizing our AI-driven insights around talent flow analytics.

Performance objectives are:

Client

• As an Account Manager or Account Manager Support will manage/support clients (Local or across Europe), addressing queries, responding to ad-hoc questions, and supporting tools for assigned client portfolio.
• Conducting and facilitating client presentations and forums.
• Promoting Data Purchasing Plans, as well as selling and delivering client projects.
• Collaborating with consultants/colleagues and the survey production team to successfully deliver surveys and projects, ensuring client expectations are met or exceeded by developing project plans and activity schedules, supporting job matching, conducting pay assessments and compensation reviews, and managing project correspondence and meeting documentation.

Financial

• Providing new and existing clients with survey pricing proposals
• Support the revenue growth of allocated clients or industry surveys
• Support ad-hoc projects via client base

People

• Build strong relationships externally and internally and collaborate effectively on cross-functional teams
• Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels
• Work closely with Customer Services teams for end-to-end account management
• Support local team and work closely with GB survey hub

Excellence

• Continuously developing technical and consulting skills (e.g. selling and project management skills)
• Ensure survey project files are up-to-date and meet Excellence standards
• Assisting survey product team with project management, data validations and survey reviews

Qualifications

The Requirements

• Good organizational skills; planning and organizing work efficiently, handling multi projects and priorities
• To be self-sufficient and manage own workload, asking for support as required and a good team player.
• Strong client relationship management skills with a dedication to quality and customer service.
• A desire to build an understanding of compensation and benefits issues and the broader HR environment
• Good written and oral communication skills (Portuguese & English) – comfortable communicating with senior managers
• Have an eye for detail with experience in data management (perhaps gained through the management of an HR system or pay review process) or be numerated with good data analysis and interpretation skills.
• Will have a good working experience with Co-pilot, MS Excel, Word and PowerPoint and possibly have some experience working with databases or statistical software.