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Data Processing Specialist - Chinese Speaker (Reference Data_Taiwan)

Data Processing Specialist - Chinese Speaker (Reference Data_Taiwan)

NielsenIQPutrajaya, Malaysia
7 hari lalu
Penerangan pekerjaan

Overview The Data Operations Analyst is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry / category or set of categories. To create and deliver client outputs in a correct and timely manner.

Responsibilities

Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries

Plan and execute a complex daily personal workload and support to meet departmental and company schedules

Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments

(CIP - Consumer Information Platform) and drive the convergence of processes and tools

Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices

Working across relevant Operations / Enablement teams to ensure delivery to client expectations and satisfaction

Operate in a virtual / multi-cultural environment, liaising with stakeholders and colleagues

This role is to support Taiwan / Hong Kong Market.

Qualifications

Bachelor’s degree or diploma

in a related field

Fresh graduates or candidates with up to one year of experience

in operational areas are welcome to apply

Excellent organizational skills

and the ability to work collaboratively in a team environment while meeting deadlines

High level of accuracy, attention to detail,

and a proactive approach to work

Strong project management skills,

including task sequencing, understanding of critical paths, and problem-solving

Excellent written and verbal communication skills in

English and Chinese (Mandatory)

Proficiency in Microsoft Excel ; familiarity with VLOOKUP, charts, spreadsheets, and tables is required

Additional Information

Normally Team is coverage(include but not limited) :

Team will receiving the data from the retailer itself

Need to clean it-to match our internal system formatting ( have different format from retailers)-internally we called ID-Reference Data

  • Sort doing some categorization-need do it in our system way to matching and give analyst to using for further analyze and visualization

NOT DATA INSIGHTS POSITIONS AND LANGUAGE SKILLS IS MUST BE BOTH ENGLISH AND MANDARIAN DUE TO WORK NEED BASE.

Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on : LinkedIn | Instagram | Twitter | Facebook

Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. To learn more about our ongoing efforts in diversity and inclusion, please visit the diversity and inclusion page :

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