Data Analyst
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This role is responsible for collecting, analyzing and interpreting, data to support decision-making and provide insights to the organization. It also supports Tech Marketing Engineer to make data-driven decisions, optimize processes, and achieve their strategic objectives. The role applies statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights.
R&R:
- In accordance with plan, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.
- Collects, records, and analyzes data using established protocols and processes; communicates findings to TME for review and feedback.
- Generate actionable insights through holistic and detailed analysis of such as Star Rating and NPS, calls and returns, to drive improvements and customer satisfaction.
- Utilizes advanced analytical techniques to extract, clean, and analyze complex data sets from various sources.
- Works independently on moderate scope problems, applying professional expertise, exercising judgment, and resolving various issues by following company policies and procedures.
Qualifications:
- Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
- 2 years of relevant work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
- Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
- Agile Methodology
- Business Intelligence
- Computer Science
- Dashboard
- Data Analysis
- Data Management
- Data ModelingData Quality
- Data Science
- Data Visualization
- Data Warehousing
- Extract Transform Load (ETL)
- Machine Learning
- Power BI
- Python (Programming Language)
- R (Programming Language)
- SAS (Software)
- SQL (Programming Language)
- Statistics
- Tableau (Business Intelligence Software)
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
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