National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Associate Dictionary Data Analyst - Chinese

comScore, Inc.
London
2 weeks ago
Create job alert

Associate Dictionary Data Analyst - Chinese

Job Title: Associate Data Dictionary Analyst – Chinese
Location: London, United Kingdom

About This Role:

Comscore is seeking an energetic, analytically and technically savvyChinesespeaking person for their International Data Dictionary team in London, UK. The Dictionary group is an integral part of this leading Market Research Company specializing in tracking Digital Media. Its primary function is to Comscore product QC and data analysis along managing proprietary dictionary databases. The group provides comprehensive hierarchical definitions on how all internet media are classified, allowing for competitive comparison analysis.

What You’ll Do:

  • Participate actively in Data Quality processes and Data analysis
  • Dynamically work within the dictionary databases to produce accurate structures and timely handoffs.
  • Assist with development and tracking of current database procedures and implement new standards in rules and guidelines for production efficiency.
  • Support senior analysts with data resources for client deliverables, industry presentations, and/or written reports.
  • Ability to work under tight deadlines related to the group’s role in the production process.
  • Identify and manage project issues as they relate to the dictionary productions.
  • Work on product development and enhancements for better quality control.
  • Take responsibility for ongoing client and company satisfaction and trainings.

What You’ll Need:

  • BS Degree in Business/MIS, Market Research, Computer Science or equivalent experience preferred
  • Work experience between 0 and 2 years.
  • Advanced knowledge of aChinese language. Japanese skills would be nice-to-have.
  • Experience in the Internet environment is essential.
  • Must have experience in working with databases.
  • SQL experience is a plus
  • Must be highly skilled in time management to facilitate involvement in multiple projects.
  • Must be fluent in creating project plans and managing them or have familiarity in this arena.
  • Must have excellent teamwork skills as well as be self-directed.
  • Must have the ability to work independently and manage communications up and down.
  • Excellent written and verbal skills.
  • Market Research industry experience is a major plus.
  • Private Medical and Dental insurance is offered to our employees and their immediate family: Comscore contributes 80% and the remaining 20% is paid by employees;
  • Travel insurance (both for business and personal reasons) is fully covered by Comscore;
  • Life and Income Protection Insurance Schemes are fully covered by Comscore;
  • 25 Annual Leave days per annum;
  • Comscore also provides a paid “Recharge Week” over the Christmas and New Year period, so that you can start the new year fresh.
  • Enhanced Maternity Pay: the first 12 weeks' of an employee’s maternity leave is 100% paid by Comscore;
  • “Summer Hours” are offered from June to September: Comscore offers employees the flexibility to work more hours from Monday to Thursday, and the hours can be offset on Friday from 2:00pm onwards.
  • Employees are eligible to participate in our Cycle to Work scheme, enjoying tax benefits when you hire and/or buy a bike via Comscore’s provider;
  • Paid special leave days, such as Paternity, Shared Parental Leave and so on;
  • An interest free “Season Ticket Loan”;
  • Comscore contributes 4% to Comscore’s Group Stakeholder Pension (SHP).

About Comscore:

AtComscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you.

Comscore(NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights,Comscoreallows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale,Comscoreis the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more aboutComscore, please visit Comscore.com.

C omscore is committed to creating an inclusive culture, encouraging diversity.

If you have previously registered/applied with us and would like to edit or remove your profile, request information, or view the status of your application, please log in.

New roles become available frequently. Join our Talent Network and we will keep you updated on all the happenings at Comscore and alert you when there is a role that might be exactly what you are looking for!


#J-18808-Ljbffr

Related Jobs

View all jobs

Associate Dictionary Data Analyst - Chinese

Associate Dictionary Data Analyst - Spanish / Port...

Senior Data Engineer

Lead Data Warehouse Developer

Associate Partner

Associate Director of AI

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.