Accountabilities:
- Identification, collection, extraction of data from various sources, including internal and external sources.
- Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
- Development and maintenance of efficient data pipelines for automated data acquisition and processing.
- Design and conduct of statistical and machine learning models to analyze patterns, trends, and relationships in the data.
- Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
- Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
Some other highly valued skills may include:
1. SQL
2. PySpark
3. NLP (Natural Language Processing)
4. Scrum - Agile ways or work
Desirable skills/Preferred Qualifications:
1. Time management and organization
2. Portfolio or examples to Survey Analysis
3. Portfolio or examples to showcase (like in github, presentations or similar)
4. HR related data and cases :Viva Insights, Engagement survey
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