Consultant

• Design and Develop Analytical Solutions:
• Lead the creation and implementation of analytical frameworks to address a wide spectrum of business challenges. This involves devising tailored data-driven strategies that enhance decision-making and drive business outcomes.
• Integrate Business Acumen with Analytical Techniques:
• Merge in-depth business understanding with advanced statistical methodologies to generate meaningful, actionable insights. Translate complex data findings into practical solutions that align with organizational goals.
• Conduct Data Mining and Behavioral Analysis:
• Apply data mining techniques and perform rigorous analysis to identify and interpret patterns in consumer behavior. Use these insights to inform business strategy and improve customer engagement.
• Deliver High-Quality Results:
• Ensure all project deliverables meet or exceed client expectations, particularly regarding project scope, delivery speed, and output quality. Maintain clear communication and consistent standards throughout the project lifecycle.

• Proficiency in SQL:
• Demonstrated expertise in using SQL for data manipulation, extraction, and analysis. Ability to work with large datasets and perform complex queries efficiently.
• Experience with Data Visualization Tools:
• Hands-on experience utilizing PowerBI or Tableau to create interactive dashboards and compelling data visualizations that facilitate business understanding.
• Applied Data Science Knowledge:
• Practical application of data science concepts and techniques to resolve business problems, encompassing statistical modeling, machine learning, and predictive analytics.
• Programming Skills in Python and R:
• Experience leveraging Python and R for data analysis, statistical modeling, and development of analytical solutions is a valuable asset.
• Managing Diverse Data Sets:
• Competence in handling both structured and unstructured data from various sources, ensuring data integrity and relevance for analysis.
• Familiarity with Big Data Technologies:
• Knowledge of big data frameworks such as Hadoop and Spark is advantageous for processing and analyzing large-scale datasets.
• Microsoft Excel and PowerPoint Skills:
• Strong command of Microsoft Excel for data analysis and PowerPoint for presenting findings to stakeholders in a clear and impactful manner.
• Analytical and Problem-Solving Abilities:
• Excellent analytical thinking, with the ability to deconstruct complex business issues into manageable, solvable components.
• Multitasking and Time Management:
• Capability to juggle multiple tasks simultaneously, prioritize responsibilities, and deliver high-quality work under tight and demanding timelines.

Location

Kantar Rewards Statement

At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. 

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that's out of the ordinary and join us. 

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. 

We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. 

Kantar is the world's leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar's 30,000 people help the world's leading organisations succeed and grow.