As a Manager Customer Facing Effectiveness within our global Go-To-Market-Capabilities (GTMC) Team, youll design, manage, and analyze data-driven incentive plans, support localization by allocating sales targets, manage incentive simulations based on global policies, track performance using KPIs for sales effectiveness, and ensure global alignment of incentive processes within the Customer Facing Hub.
Main responsibilities:
SQL Expertise:
Develop and maintain complex SQL queries for data extraction, transformation, and reporting. Optimize query performance for large-scale datasets and ensure efficient data retrieval. Debug and troubleshoot SQL issues across multiple environments and use cases. Collaborate with analysts and process experts to translate business requirements into SQL logic undefined Data Handling:
Cleanse, validate, and transform raw data into structured formats suitable for analysis. Manage data ingestion pipelines and ensure consistency across sources. Perform data profiling and quality checks to identify anomalies and gaps. Maintain documentation for data sources, transformations, and lineageundefined Software Development Concepts:
Manage workspace releases, deployments, and version control within ZICO. Handle workspace locks and coordinate with teams to avoid conflicts during development. Follow structured development workflows and contribute to process improvements. Data Modeling:
Design logical data models to support analytics and reporting needs from each country specific needs. Collaborate with stakeholders to understand data relationships and business logic. Maintain, evolve and optimize data models as business requirements change from countries undefined Analytical Thinking:
Analyze data to uncover trends, patterns, and insights that inform business decisions. Solve complex data-related problems using structured thinking and root cause analysis. Validate assumptions and hypotheses using data-driven approaches. Communicate findings clearly to technical and non-technical audiences undefined AWS Exposure:
Use S3 for data storage and retrieval in cloud-based workflows. Trigger Lambda functions for lightweight data processing tasks. Work with RDS for relational database management and querying. Leverage EMR for distributed data processing and analytics. Cloud Infrastructure:
Understand the architecture of cloud-based data pipelines and their components. Monitor and troubleshoot data flow across cloud services. Ensure scalability, reliability, and security of cloud-based solutions. Collaborate with DevOps or cloud teams to optimize infrastructure usage undefined Automation:
Automate repetitive data tasks, build and maintain workflow automation for data ingestion, transformation, and reporting. Integrate automation into ZICO workspace operations to improve efficiency. Monitor automated processes and handle exceptions or failures proactively. Maintain effective relationship with the end stakeholders
within the allocated GBU and tasks with an end objective to develop education and communication content as per requirement undefined Collaborate with other Customer Facing Hub Managers
to ensure right data is being tracked and reported on for core processes (segmentation, incentives, ...).undefined Secure adherence to compliance
procedures and internal/operational risk controls in accordance with all applicable standards.
About you
Experience
- 7+ years of experience working on data pipeline projects and back-end tool enhancements within IT operations and healthcare projects
Function skills:
- Understanding of customer facing capabilities or Sales force effectiveness in pharma. Ability to relate to incentive compensation and field deployment workstreams concepts to better align and contribute towards your roles and responsibilities.
Soft skills
- Ability to leverage internal networks, train analysts,
- Ability to act for change while achieving business goals and objectives, challenge the status quo.;
- High persistency and resilience.;
- Strong project management and planning skills;
- Ability to work collaboratively in a fast-paced environment, effectively communicating complex technical concepts to non-technical stakeholders;
- Knowledge of industry-specific trends and market dynamics is a plus;
- Strong numeracy, analytical skills and business acumen.
Education
- Higher education in Computer science, Data science and Data engineering or a similar field.
Languages
: - Excellent knowledge of English language (spoken and written).
