Data Accuracy Specialist

TransPerfect; Greater London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading global provider in the UK is seeking a Data Accuracy Specialist responsible for evaluating data quality and ensuring compliance with standards. The ideal candidate should possess excellent communication and analytical skills and have at least a Bachelor’s degree. Responsibilities include analyzing data sets, conducting error corrections, and collaborating with team members. This position offers an opportunity to contribute to data quality improvements in a dynamic working environment.

Qualifications

• Exceptional communication skills for project updates.
• Excellent analytical and critical thinking skills.
• Strong organizational skills under pressure.
• Basic understanding of data entry procedures.
• Fluency in English (UK) is required.

Responsibilities

• Evaluate and rate the quality of data.
• Perform data analysis and preference activities.
• Detect and correct errors in data.
• Collaborate with the data team for continuous improvement.

Skills

Communication skills

Analytical thinking

Organizational skills

Problem-solving skills

Understanding of data concepts

Openness to learning

Experience in data quality assessment

Education

Bachelor’s degree or equivalent

Job description

TransPerfect Is More Than Just a Job…

Our greatest asset is our people, and nothing is more important to us than ensuring that everyone knows that. Each of our 100+ offices has its own individual identity, and each also has its own unique rewards.

1.0 DESCRIPTION

The Data Accuracy Specialist encompasses the daily implementation of various assignments delegated by the client team. This includes engaging in stakeholder meetings and training sessions, all while ensuring the punctual fulfillment of task deadlines.

Responsibilities :

• Evaluate and rate the quality of various types of data based on predefined guidelines and criteria.
• Perform data analysis and preference activities, including but not limited to analyzing responses of different models.
• Perform data and app testing and validation to ensure accuracy and consistency.
• Detect and correct errors, inconsistencies, and inaccuracies in data.
• Provide clear and concise feedback on data quality to assist in continuous improvement.
• Collaborate with the data team to report issues and suggest enhancements to data processes.
• Participate in training sessions to stay updated on rating guidelines and procedures.
• Maintain accurate records of data evaluations and quality assessments.
• Contribute to the development and refinement of data quality assessment methodologies.
• Contribute to the creation of training materials.

2.0 REQUIRED SKILLS / COMPETENCIES

• Exceptional communication skills – being able to communicate important project updates both verbally and in writing
• Excellent Analytical and critical thinking skills – the ability to analyze a situation and plan and implement a solution
• Strong organizational skills and the ability to work under pressure and manage tasks effectively.
• Problem-solving skills – effective analysis and creative solutions for any problems that might arise
• Basic understanding of data concepts and data entry procedures.
• Ability to follow guidelines and instructions accurately.
• Openness to learning and adapting to evolving data quality standards.
• Previous experience in data quality assessment or a related field is a plus.
• Knowledge of specific industry standards or terminology related to data quality is advantageous.
• Comfortable working with data and using relevant software / tools.

3.0 REQUIRED EXPERIENCE AND QUALIFICATIONS

• Minimum Bachelor’s degree or its equivalent.
• Fluency in English (UK) is required, and being a native speaker is an added advantage.

4.0 PREFERRED SKILLS AND EXPERIENCE

• Attention to detail, past experience in delivering QA services or user testing.
• Passion for Large Language Models and related innovations.
• Experience in software / app testing is considered an added advantage.
• Experience working in a multinational / multicultural virtual working environment.
• Experience in working in a cross-functional / matrix organization.
• Fluency in a language other than English is a plus.