This role partners closely with senior stakeholders to translate complex business challenges into advanced analytical solutions. The consultant is expected to proactively generate strategic insights, influence decision-making, and clearly communicate findings to both technical teams and executive audiences.

Key responsibilities include:

• Synthesizing large and complex datasets to identify trends and patterns
• Developing and maintaining data models and dashboards to support business decisions
• Collaborating with stakeholders to understand business requirements and develop solutions

The ideal candidate will have strong expertise in marketing data analytics, excellent communication and presentation skills, and the ability to work effectively in a fast-paced environment.

In addition to the core responsibilities, the consultant will also be responsible for:

• Staying up-to-date with industry trends and emerging technologies
• Identifying opportunities for process improvements and implementing changes
• Providing training and support to colleagues on data analysis and visualization techniques

The consultant will work closely with the Consumer Direct Analytics team to deliver high-quality results and contribute to the growth and success of the organization.

XML job scraping automation by YubHub

This role partners closely with senior stakeholders to translate complex business challenges into advanced analytical solutions. The consultant is expected to proactively generate strategic insights, influence decision-making, and clearly communicate findings to both technical teams and executive audiences.

The position requires strong expertise in marketing data analytics, the ability to synthesize large and complex datasets, and a high level of storytelling skills to transform data into clear, actionable insights that drive business performance.

The consultant will act as a trusted analytics advisor, leading discussions with stakeholders, challenging assumptions when needed, and ensuring data-driven recommendations are aligned with business objectives.

Key responsibilities include:

• Developing and maintaining advanced analytical models and tools to support business decision-making
• Collaborating with cross-functional teams to identify business opportunities and develop strategic recommendations
• Communicating complex analytical findings to both technical and non-technical stakeholders
• Staying up-to-date with industry trends and emerging technologies to inform analytical approaches

In addition to these key responsibilities, the successful candidate will have the opportunity to work on a variety of projects and contribute to the growth and development of the Consumer Direct Analytics team.

XML job scraping automation by YubHub

This role partners closely with senior stakeholders to translate complex business challenges into advanced analytical solutions. The consultant is expected to proactively generate strategic insights, influence decision-making, and clearly communicate findings to both technical teams and executive audiences.

The position requires strong expertise in marketing data analytics, the ability to synthesize large and complex datasets, and a high level of storytelling skills to transform data into clear, actionable insights that drive business performance.

The consultant will act as a trusted analytics advisor, leading discussions with stakeholders, challenging assumptions when needed, and ensuring data-driven recommendations are aligned with business objectives.

Key responsibilities include:

• Developing and maintaining advanced analytical models and data visualizations to support business decision-making
• Collaborating with cross-functional teams to identify business opportunities and develop data-driven solutions
• Providing expert-level guidance on data analysis, interpretation, and visualization
• Communicating complex technical concepts to non-technical stakeholders

Required skills and qualifications include:

• Advanced degree in a quantitative field (e.g., mathematics, statistics, computer science)
• Strong expertise in marketing data analytics, data mining, and statistical modeling
• Proficiency in data visualization tools (e.g., Tableau, Power BI)
• Excellent communication and interpersonal skills
• Ability to work in a fast-paced environment and prioritize multiple projects simultaneously

Preferred skills and qualifications include:

• Experience working with large datasets and advanced data analysis techniques
• Familiarity with machine learning algorithms and predictive modeling
• Certification in data science or related field
• Strong understanding of business operations and market trends

Benefits include:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Dynamic and inclusive work culture within a globally renowned group

Get the future you want at Capgemini, where we unleash human energy through technology for an inclusive and sustainable future.

XML job scraping automation by YubHub