Analytics Solutions Lead

Analytics Solutions Lead

Roles and Responsibilities:

• Responsible for the

  Analytics Portfolio

  that drives brand performance and operational execution across international, regions, and affiliates, as well as sub-national execution (all franchises).
• Drives strong alignment of the Analytics Portfolio with the evolving

  KPIs framework

  , strategic initiatives, and brand portfolio.
• Proactively identifies and designs

  analytical solutions

  to support international strategy, in strong collaboration with brand teams and functional leads.
• Leads the development of new dashboards by designing, prototyping, deploying, and testing of analytical solutions. When applicable, partners with the Business Technology Solutions team (BTS) and Data Operations lead to implement data products at scale.
• Leads the co-creation process by including relevant partners from Marketing, Sales Force Effectiveness, Medical Education, Finance, Market Research, as well as Regions and Top 7 Affiliates.
• Oversees the active analytics portfolio, performs ongoing quality control, and manages escalated problems to resolution.
• Partners with the Advanced Analytics Lead and BTS to develop solutions infused with

  ML (Machine Learning) learning algorithms

  .

Essential Skills, Experience, and Competencies:

• Reporting and visualization expert

  : Proficient in

  Power BI

  .

• Data wrangling

  : Expertise in

  Excel + VBA, Python / R, SQL

  .
• Experience in building

  machine learning models

  and linear programming models.
• Experience with

  Natural Language Processing (NLP)

  methods.
• Knowledge of primary and secondary market research methodologies as well as open data sources.
• Knowledge of CRM, digital communication, and Omnichannel datasets.
• Experience of leading multi-functional project teams in a matrix structure to effective results.
• Proven ability to manage and influence people both with and without formal authority.
• Ability to run algorithms to deliver rapid business insight.
• Experience in designing and developing technology solutions.
• Experience in handling large complex datasets and leveraging enterprise data lake and data warehouse solutions.
• Ability to lead multiple business projects across a variety of stakeholders.
• Strong influencing skills at International / Global level.
• Excellent presentation and communication skills.
• Flexibility & ability to travel (c. 10%).

QUALIFICATIONS:

• Undergraduate degree required. Postgraduate level degree preferred (e.g., MSc, PhD).
• Qualification in Business Analytics, Computer Science, Data Science, or a related field.