Assistant Manager

Data Analyst
Program Analytics Team | Full-Time | 1–2 Years Experience
About The Role
We are looking for a detail-oriented and analytically driven Data Analyst to join our growing analytics team. You will work with structured and unstructured datasets to generate insights, build models, and support data-driven decision-making across the organisation.
Key Responsibilities
Analyse large datasets using Python to surface actionable insights
Build, evaluate, and maintain machine learning models for classification, regression, and NLP tasks
Integrate and work with generative AI, including local and cloud-hosted LLMs, to augment analytical workflows and automate text-heavy tasks
Design and maintain interactive dashboards and reports in Power BI
Write and optimise SQL queries for data extraction, transformation, and reporting
Prepare executive-ready presentations and summaries in PowerPoint; maintain structured data in Excel
Apply statistical methods (e.g. hypothesis testing, regression analysis, distribution modelling) to validate findings
Collaborate with cross-functional stakeholders to translate business questions into analytical frameworks
Required Skills & Qualifications
Technical Skills
Python: pandas, scikit-learn, seaborn, NLTK
Data visualisation: Power BI (report building, DAX, data modelling)
Databases: SQL (query writing, joins, aggregations, window functions)
Office tools: Microsoft Excel (PivotTables and Power Query) and PowerPoint
Statistical acumen: hypothesis testing, A/B testing, regression, probability distributions, significance testing
Education
Bachelor’s or master’s degree in Statistics, Mathematics, Data Science, Analytics, Computer Science, Engineering, or a related quantitative field
Formal education requirements may be waived for candidates who demonstrate equivalent competence through work experience and a strong portfolio
Experience
1–2 years of hands-on work experience in a data analyst, business analyst, or equivalent role
Demonstrated experience working with real-world datasets and delivering analytical outputs
Good to Have
Familiarity with NLP pipelines and text analytics
Experience with big data processing using PySpark
Linux CLI proficiency: navigating file systems, shell scripting, running jobs on remote servers
ML deployment exposure: serving models via FastAPI and building lightweight interfaces using Streamlit or Gradio
Knowledge of data warehousing concepts or cloud platforms (Azure, GCP, AWS)

Work arrangement
Hybrid