Global Business Intelligence
vor 3 Wochen
**Job Description** Global Business Intelligence & Data Management Leader**
**Location**:Geneva
**Reference ID**:REFID921872
**About this job**
NielsenIQ's Business Intelligence Team works with companies to provide critical business intelligence through reporting, insights and thought leadership. Our intelligence help clients set their execution plans, track them in important business topics such as distribution, market expansion, pricing strategies, launching of new products, promotions and determining what products you ultimately see on the shelf and online. Our Business Intelligence team members are experts on NielsenIQ Solutions and Services and are viewed as trusted partners by our clients at all levels from C-Suite to execution teams.
We are looking for someone with extensive previous experience in business intelligence with exceptional acumen and skills - passionate about servicing/consulting clients, growing the business and developing frameworks for global clients to help the organization drive strategic business outcomes, strengthen Business Intelligence as a Center of Excellence, and enable data driven insights. The incumbent will also lead the teams that work as Technical support to clients that use NielsenIQ Data Direct Manager, a tool that helps clients to ingest data direct to the client own data lakes and that becomes one of the foundational deliveries for NIQ.
When you join the NielsenIQ team, you’re signing up for an experience that requires flexibility, curiosity, and passion.
**Responsibilities**
As leader of our Global Business Intelligence team, you are accountable for driving organizational change through efficiencies in automation, process improvement and technology integration. In addition, you will lead a team responsible for driving day-to-day relationships and insights, the overall customer experience, and NielsenIQ’s impact on our clients.
Team Leadership & Collaboration: Business intelligence leaders work with cross-functional teams, so strong leadership and collaboration skills are essential.
- Guide and motivate your team, foster a culture of data-driven decision-making, and collaborate with stakeholders across different departments
- Lead all aspects of hiring, onboarding, training, ongoing staff development, and workforce management to drive high levels of efficiency and employee engagement
- Build a highly performing and diverse team in the market, working cross-functionally to exceed client expectations
Business Acumen & BI Execution: Understanding the business landscape and having a deep knowledge of your organization's goals, strategies, and industry.
- Connect data-driven insights to business objectives and make informed decisions that drive growth and profitability.
- Drive execution excellence of the large Business Intelligence team **(~1000 people)**, ensuring the team is solving client needs with speed and thoroughness, continually improving client satisfaction and delivering best in class analytics, that supports clients' businesses to drive client satisfaction (measured by NPS scores)
- Lead the Business Intelligence transformation roadmap, clearly articulating the vision and inspiring teams to drive the change agenda
- ** Create revenue-generating capability** for BI, rationalising standardised reporting while building a business based on chargeable value-added supplementary reporting
- Actively and consistently support all efforts to simplify and enhance the customer and employee experience
- Develop and drive advanced standards for high-quality deliverables
Continuous Learning: The field of business intelligence is constantly evolving, so a willingness to learn and adapt is crucial. Stay updated with the latest trends, technologies, and best practices in business intelligence and analytics to ensure you're at the forefront of the field.
- Promote a culture of learning and continuous development / organic growth
- Establish long-term and short-term strategies to upskill the team and drive a strong technical capability through proven change management techniques towards a data-driven organization
- Shape a knowledge sharing strategy that leverages best practices, scaling key learning, processes, and tools to multiply impact across clients in a way that is simple, seamless, and continuously improving
**Qualifications**
Data Analysis and Interpretation: As a business intelligence leader, you should have a strong foundation in data analysis techniques and the ability to derive insights from complex data sets. This includes skills in statistical analysis, data modeling, data visualization, and data interpretation.
Technical Proficiency in Data Governance and Management: Knowledge of data governance principles, data quality management, data security, and privacy regulations is important. You should be able to ensure the accuracy, integrity, and availability of data assets within your organization.
Communication and Visualization: As a leader, you n
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