Data Analyst transforming operational data into insights and tools for decision - making. Working with diverse teams to enhance performance and data reliability in a growing digital market.
About the role
- Data Analyst supporting data science initiatives with a focus on machine learning and dashboard development. Collaborating with teams to derive insights from complex datasets in a dynamic financial services environment.
Responsibilities
- Assist in collecting, cleaning, and processing large datasets using SQL and Python.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop, maintain, and enhance interactive dashboards using tools like Tableau or Power BI to communicate key metrics.
- Support the development and implementation of basic machine learning models.
- Help in evaluating and experimenting with Large Language Models (LLMs) for data-related tasks, support key GenAI initiatives.
- Collaborate with team members to present data-driven insights and recommendations to stakeholders.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is preferred.
- 1-3 year of experience in data analysis through internships, academic projects, or coursework.
- Strong proficiency in SQL for querying and manipulating data from relational databases.
- Solid programming skills in Python, including experience with libraries such as Pandas and NumPy.
- Hands-on experience creating dashboards and visualizations using Tableau or Power BI.
- Basic knowledge of Machine Learning concepts and algorithms (e.g., regression, classification, clustering).
- A foundational understanding of Large Language Models (LLMs) and their potential applications.
Benefits
- Professional development opportunities
- Flexible working hours
- Inclusive and collaborative culture
Job title
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Degree requirement
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