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Description supplied by the original job listing.
Purpose of the role:
Working with data collected from market research surveys to provide a variety of output reports, using software products such as Quantum, SPSS, Dimensions
Processing, formatting and presenting the data in accordance with global NIQ quality standards
Prioritize, structure and deliver data processing (data table production, file creation, quality checking and workflow communication) of high complexity projects individually
Execute day-to-day operations and tasks
Prioritize and distribute projects / tasks within the team
Propose optimizations and efficient solutions
Take decisions related to project delivery in case of any ambiguous situation
Contribute to different internal / external initiatives related to operations process, training framework, reporting KPIs etc.
Key Responsibilities:
Review and process all materials provided by the client
Proactively discuss with the client all details related to input materials and their needs
Propose and discuss potential solutions based on client needs
Implement newly proposed solutions for the project
Develop reports, spreadsheets, tables and dashboards, based on analysis of data from multiple sources
Calculate advanced statistical metrics and modeling as required by CSG
Analyze various types of data in order to deliver reports / tables
Perform and be responsible for quality assurance
Collaborate with other teams to solve any problems encountered during data delivery phase
Deliver according to project timelines
Participate in project set up meetings and guide Project Management and CSG regarding the technical aspects of deliverables with best solution
Leverage available AI tools to translate questionnaires for multi-country projects, enabling better understanding and more efficient project execution
Work closely with various teams to drive the improvement, automation, and standardization of Data Management processes through AI
Automate routine status reporting using AI and identify opportunities where AI can be further leveraged
Focus on improving the quality management system
Actively involved in testing the newly developed software and tools and takes the necessary steps for implementing them once they are approved
Coordinate work within team and follow up on task completion
Train and provide support to colleagues in data processing for using software / tools
Instruct and supervise junior colleagues
Pro-actively seeks to gain and share knowledge
All other activities related to the direct implementation of the work process and the tasks of the team, department and/or organization arising from the nature of the work or the specifics of the projects/assignments being performed
Ensure compliance with internal processes, governance standards, and operational best practices.
Key Interfaces:
Data Processing teams (incl. HUB)
Survey Scripting teams (incl. HUB)
Project Delivery teams (incl. HUB)
Customer Success teams (CS)
Technology & Data teams (T&D)
Support Teams (IT, HR, etc.)
Skills, knowledge and experience required:
Advanced knowledge of Quantum, Dimension (TOM)
Advanced knowledge of other Data Processing programming languages and software (e.g. SPSS, Displayr, Python, C, R)
Advanced knowledge in MS Office, VBA Macro preferred
Working knowledge in Project Management and Quality Management
English B2, written and spoken
Focus on quality and attention to detail
Keep deadlines
Strive for continuous improvement
Drive for results
Good written and verbal communication skills
Build good working relationships with colleagues from different teams/location
Team-player who can also work independently
Proactiveness and solution-oriented mindset
Spend time on right priorities
Very good understanding of end-to-end value chain
Practical experience with AI tools, with the ability to provide clear, structured, and effective prompts to achieve desired outcomes
Use AI to create, refine, and summarize communications, helping to improve efficiency, clarity, and decision-making.
Typical Education and Work Experience required:
Education degree: Bachelor degree is mandatory
Education degree: Technically oriented BSc degrees, such as Computer Science, Engineering, Data Science, Mathematics, Statistics, Physics, or related quantitative disciplines
Employment type
Full-time
Work arrangement
No
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