Analyst, Data Automation
hace 1 semana
Overview:
Management of the business operations of a region and/or country. Management of internal and external strategic issues and opportunities. Management of business operations initiatives through business intelligence (Country management, Business operations efficiency, Business intelligence)
**Responsibilities**:
design, development, and optimization of automated data processes and analytical models to support decision-making across commercial operations and customer care. The role combines technical expertise in automation tools, data engineering principles, and statistical modeling to drive operational efficiency and actionable insights.
- **Data Modeling & Analytics**:
- Develop robust data models to support predictive analytics, segmentation, customer behavior analysis, and forecasting.- Translate complex business requirements into efficient data solutions using SQL, Python, or R.- Collaborate with data engineering teams to ensure data models are accurate, scalable, and well-documented.**Dashboarding & Visualization**:
- Build and maintain interactive dashboards (Power BI, Tableau, etc.) for various stakeholders, including commercial, care, and strategy teams.- Present analytical findings and model outputs to senior management with actionable recommendations.**Process Optimization**:
- Identify opportunities for operational improvement through automation and data modeling.- Work with cross-functional teams (marketing, care, finance) to understand pain points and develop technical solutions.
- Streamline reporting
- Implement Crontabs**Data Governance & Quality**:
- Ensure high standards of data integrity, security, and compliance with internal policies.- Document data flows, logic, and models to support future development and scalability.
Qualifications:
**Education**:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.- Master’s degree or certifications in data analytics or automation tools is a plus.
**Experience**:
- 3-5 years of experience in data automation, analytics, or data modeling roles.- Telecom or service industry experience preferred, especially in commercial or customer operations.
**Technical Skills**:
- Advanced proficiency in SQL, Python, and data manipulation tools (e.g., Alteryx, KNIME).- Experience with data visualization tools (Power BI, Tableau).- Strong understanding of data modeling concepts (e.g., star schema, normalization, dimensional modeling).- Familiarity with cloud data platforms (AWS, Azure, GCP) is an advantage.
**Soft Skills**:
- Strong analytical thinking and attention to detail.- Excellent communication skills with the ability to translate technical concepts into business insights.- Ability to manage multiple tasks and collaborate across departments in a fast-paced environment.
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