Job Summary
This role is responsible for leading the collection, cleaning, preprocessing, and analysis of large datasets to derive meaningful insights. The role generates regular reports and ad-hoc analysis, highlighting key metrics and insights that inform business decisions. The role translates complex data into actionable recommendations for various departments, such as marketing, operations, or finance. The role ensures data accuracy, integrity, and consistency across all analyses and reports.
Responsibilities
* Participates as a senior member of a team of data science engineers, carrying out investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
* Creates comprehensive plans, data collection and analysis procedures, and data insight visualizations for assigned projects.
* Reviews and assesses existing reporting systems with a view to modernization through automation and process improvements.
* Collaborates with internal and external partners to perform experiments and validations in accordance with overall plans.
* Works with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
* Drives innovation and integration of new Data Science technologies and practices into projects within R&D organizations.
* Provides guidance and mentoring to less experienced staff members.
* Develops and maintains productive internal and external working relationships, potentially mentoring lower-level employees.
Education & Experience (Recommended)
* Four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline, or equivalent work experience or demonstrated competence.
* Typically 7-10 years of experience in data analytics, database management, statistical analysis, or related fields.
Preferred Certifications
* Programming Language Certification (SQL, Python, or similar)
Knowledge & Skills
* Agile Methodology
* Business Intelligence
* Data Analysis, Management, Modeling, Quality, Visualization, Warehousing
* ETL Processes
* Machine Learning
* Tools: Power BI, Tableau, SAS
* Languages: Python, R, SQL
* Statistics
Cross-Organizational Skills
* Effective Communication
* Results Orientation
* Learning Agility
* Digital Fluency
* Customer Centricity
Impact & Scope
Impacts the function and leads or provides expertise to project teams; may participate in cross-functional initiatives.
Complexity
Handles complex problems requiring in-depth analysis of data and multiple factors.
Disclaimer
Sales and Services Entity (ES11)
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