Data Operations#

WTW group; Chihuahua; On-site; MXN 180,000 - 300,000; Full time

Job summary

WTW group is seeking a data management professional in Chihuahua, Mexico. The role focuses on maintaining data across platforms, ensuring quality, and supporting data-driven decisions within the Investments business.

You will collaborate with SMEs, document processes, and contribute to automation initiatives as you grow technical expertise. Ideal candidates have a solid foundation in data management and finance-related data environments, with strong English, MS Office skills, and keen attention

Qualifications

• Bachelor's degree completed or in final semester in Finance, Business Administration, Actuarial Science, Data Science, or related quantitative field.
• Academic, internship or early-career exposure to data management, finance, investments or other data-intensive environments.
• Understanding of Data Management principles in sourcing, cleansing, transformation, validation.
• Proficiency in English, both written and verbal.
• Proficiency in Microsoft Office.
• Strong attention to detail, with the ability to identify inconsistencies and data-quality issues.
• Strong organizational and analytical skills, following established processes for recurring data-related activities.

Responsibilities

• Maintain dataset across multiple platforms (new clients, pricing, valuations, portfolio details).
• Perform data quality checks and liaise with SMEs as required.
• Carry out exception reporting and resolution tracking within SLA.
• Develop competence with internal systems and processes.
• Support ad hoc data extraction requests from internal stakeholders.
• Develop and maintain robust data processes to ensure accuracy.
• Take ownership of projects and processes as opportunities arise.
• Assist with documentation of processes.
• Develop technical expertise and collaboration within the team and across Investments.

Skills

Data management

Analytical skills

Attention to detail

English proficiency

Education

Bachelor's degree in Finance or related field

Tools

Microsoft Office

Power Automate

R or Python (nice to have)

Job description

Description

• Maintain dataset across multiple platforms (ex: new clients, pricing, valuations and portfolio details) based on procedures and protocols.

• Perform data quality control checks, liaising with Subject Matter Experts (SMEs) as required

• Carry out exception reporting and resolution tracking. Ensuring aged and critical exceptions are resolved within the agreed SLA.

• Develop competence with internal systems and processes

• Support ad hoc data extractions requests from internal stakeholders

• Develop and maintain robust processes to ensure data is accurate and meets business needs

• Have the opportunity to take ownership of projects and processes.

• Assist with the documentation of processes

• Develop technical expertise and collaboration within the team and across the Investments business

The successful candidate will be expected to work within the existing risk management and audit framework of the team and business, which includes checklists and review processes, branded 'Professional Excellence'. All team members are encouraged to contribute ideas for process improvements.

Throughout you will benefit from the business's focus on training and development, including soft-skills, investment knowledge and data expertise.

Qualifications

• Bachelor's degree completed or currently in the final semester in Finance, Business Administration, Actuarial Science, Data Science, or a related quantitative or business field.
• Academic, internship or early-career exposure to data management, finance, investments or other data-intensive environments.
• Understanding of Data Management principles on areas of sourcing, cleansing, transformation, validation, etc. will be advantageous.
• Proficiency in English, both in written and verbal communications.
• Proficiency in Microsoft Office.
• Strong attention to detail, with the ability to identify inconsistencies, missing information and potential data-quality issues.

• Strong organizational and analytical skills, with the ability to follow established processes and manage recurring data-related activities accurately.
  

  Nice to Have:

• knowledge of R or Python coding (is a plus).
• Advanced knowledge or certification in automation tools (Power Automate) is desirable but not mandatory.
• Familiarity with Power Automate or other automation tools, desirable but not mandatory.

Equal Opportunity Employment