Manager / Principal Data Analyst

Job Description

1. Develop and implement LLM/GenAI models, machine learning, time series, and deep learning models including NLP.
2. Process and analyze large datasets using various statistical and machine learning techniques.
3. Wrangle and integrate large volumes of data from multiple sources to support data requests, analysis, and dashboard building.
4. Perform data analysis and translate data into insights with actionable recommendations.
5. Create interactive dashboards to visualize data and communicate insights.
6. Automate data processing and analysis workflows using coding languages such as Python and R.
7. Support user requests for ad-hoc data requests and analysis, and assist users on the usage of data for decision-making.
8. Generate and provide data submissions to Cluster management.
9. Collaborate with cross-functional teams to identify business problems and develop solutions.
10. Communicate findings and insights to both technical and non-technical stakeholders.
11. Deliver technical expertise to the team whilst serving as an exemplar of professional conduct.

Job Requirements

1. Bachelor’s or master’s degree in data science, Statistics, Mathematics, or related field.
2. Strong experience in developing and implementing LLM/GenAI models, machine learning, deep learning, and time series models.
3. Data engineering experience in data pipeline development, data integration, data governance, and cloud platform is an advantage.
4. Proficiency in coding languages such as Python and R.
5. Strong experience with data processing and analysis using statistical and machine learning techniques. Able to wrangle and integrate large volumes of data from multiple sources to support data requests and analysis with coding in R/Python.
6. Rich hands-on experience in creating interactive dashboards to visualize data and communicate insights skillfully to customers.
7. Familiarity with cloud platforms and distributed computing frameworks.
8. Experience with version control systems such as Git.
9. Exhibits a good problem-solving mindset, rapidly assessing situations and implementing solutions that align with and advance organizational goals.
10. Demonstrates excellent communication and collaboration skills, with a balanced approach to technical expertise and interpersonal leadership.
11. Capable of confidently presenting data insights and projects to top management in a professional manner.