Data Analyst

6 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Kantar Group Full time

This role supports the MyWorldpanel (MWP) Rollout Program by validating data transformation processes, implementing quality control procedures, and assisting with end-to-end initiatives in collaboration with cross-functional teams and senior regional stakeholders.

You will work closely with the regional client delivery team to ensure data accuracy, while supporting the production team in defining a streamlined model for seamless migration to MWP.

Key Outcomes

Data Collection and Analysis:

  1. Gather and Integrate Data: Collect data from multiple sources, including the current production system and MWP, ensuring consistency and integration across various datasets.
  2. Ensure Data Accuracy: Organize and validate data to ensure accuracy, completeness, and reliability for actionable insights.
  3. Data Analysis for Validation: Analyze datasets to identify relevant data points and slices for validation. Provide detailed explanations for significant discrepancies or variances found in the data.
  4. Adaptation of New Methodologies: Stay informed of new data methodologies and their potential impacts on business processes. Recommend data adjustments and improvements where necessary.
  5. Support Regional Teams: Work closely with regional teams to determine the best approach for transforming itemization in attribution. Suggest and implement reporting methods or models to improve the data collection and reporting process.

Reporting:

  1. Develop Reports and Dashboards: Create clear, insightful reports and interactive dashboards for data comparison and analysis.
  2. Effective Data Visualization: Leverage data visualization tools to present complex data in an easily understandable format for non-technical stakeholders.
  3. Cross-Team Collaboration: Collaborate with regional and central teams to define effective methods for comparing data, identifying trends, and monitoring business-as-usual operations.
  4. Audit and Data Correction: Audit data from different regions to identify and correct inconsistencies, ensuring high data quality.
  5. Data-Driven Decision Support: Provide recommendations and insights based on data findings to help guide business decisions and strategies.

Quality Assurance:

  1. Ensure Data Consistency: Implement and oversee processes to maintain data integrity and consistency across all sources and platforms.
  2. Implement Data Validation Processes: Ensure that robust data validation practices are followed, reducing errors and ensuring the quality of data in reporting.

Key Requirements

Experience in data analysis, data management, or a related field.

Technical Skills:

Solid expertise with data analysis tools and programming languages such as Excel, SQL, Python, R, and data visualization tools like Tableau or Power BI.

Self-Starter: A proactive attitude, adaptability, and strong problem-solving ability are highly valued.

Key Success Factors:

  1. Amplifies Professional Expertise: Analyses complex data sets, uncover trends, and interpret data in ways that support business decisions.
  2. Owns Commercial Success: Clearly presents findings, analyses, and recommendations to both technical and non-technical audiences. Consistently meets established KPI's.
  3. Connects to Win: Uses a collaborative approach to work across functions to ensure the accuracy and relevance of data.
  4. Solves Problem Decisively: Identifies and solves data-related issues effectively, offering creative solutions to data challenges.
  5. Drives Lasting Change: Assesses datasets critically and understands the business context to identify issues, opportunities, or areas for improvement.
  6. Leads with Impact: Exceptional attention to detail in ensuring data accuracy, identifying inconsistencies, and providing reliable insights.
  7. Builds Great Teams: Facilitates constructive discussions with clients and internal teams, ensuring clear expectations and timelines.

Qualifications:

  1. Education: BA in Mathematics, Statistics, Computer Science, Economics, or a related field.
  2. Language Skills: Proficiency in English (minimum B2 level). Fluency in regional languages may be an added advantage.

About Worldpanel, A Numerator Company

Global experts in shopper behaviour, we help brands, retailers, and government organisations to make the right decisions. At Kantar Worldpanel, we turn purchase behaviour into competitive advantages through continuous monitoring, advanced analytics, and delivering tailored solutions.

We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever-shifting world.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority, and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We're dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers, and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you're not an exact match, we'd love to receive your application and talk to you about this job or others at Kantar.

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