Principal Data Operations Analyst

Job Description

This position executes the Onshore processes of Stat Operations and associated project work for their country. This includes understanding and representing the local market conditions in the operations processes, as well as executing the local country “onshore” work. This entails engaging local partners like IO and CSE teams to ensure smooth hand-offs in operations.

Job Responsibilities

· Execute the Statistical Operations processes and related project work for the designated country. Onshore project work involves tasks that require a local presence, such as understanding the local landscape, sample design, and conducting data queries that necessitate local inspections, contacts, or language proficiency.

· Collaborate with the country’s Onshore Operations team to meet execution requirements as outlined in the Operations process playbooks and associated project work.

· Maintain close collaboration with the country’s Offshore Statistical Operations and Input Validation team.

· Engage with the Client Services Executive (CSE) and Data Science teams on specific Operations and project work to ensure smooth operations.

· Act as a contact point for local deliverables and for specific Operations and project work, addressing data inquiries or challenges with local teams and offshore Operations regarding processes or methods.

· Work with the CPS EU IV/SO Hub Leader, Coordinators, or Client Operations leaders/teams to harmonize processes, methods, and applications in order to implement optimized best practices.

Qualifications:

Essential Requirements:

· Fluency in English

· Bachelor's degree (B.S. or B.A.), preferably in a statistical, mathematical, or technical field

· Working knowledge of SQL and database structures

· Ability to work in a cross-functional environment with multiple interacting teams

· Experience in handling, manipulating, and analyzing data

· Ability to document work and effectively prioritize documentation tasks

· Excellent analytical and problem-solving skills, with strong attention to detail

· Ability to work both independently and collaboratively in a team setting

· Strong organizational, communication, and interpersonal skills

Preferred Qualifications:

· Fluency in Spanish

· Master’s degree

· 1–3 years of experience in quantitative analysis

· Experience with R and Python

· Ability to execute research projects and translate findings into operational or analytical solutions

· Ability to manage multiple projects simultaneously, while adapting to shifting priorities and deadlines

· Capacity to integrate technical, marketing, and business perspectives

We offer:

· Meal allowance

· Life insurance

· Vacation days (22)

· Hybrid work mode

· Volunteer time off

· LinkedIn Learning

· Employee-Assistance-Program (EAP)

Qualifications