Role:

<ul>
<li>The analyst would support EDAI Products Analytics team for data science initiatives</li>
</ul>

<ul>
<li>Work closely with business leaders in US and India counterparts to understand business problems, finalize scope, propose solutions and handle end-to-end execution</li>
</ul>

<ul>
<li>Support ongoing initiatives related to reporting, predictive models in development and data exploration</li>
</ul>

<ul>
<li>Build strong business relationships with business partners, stakeholders, Technology teams to ensure smooth execution and delivery of BAU projects</li>
</ul>

Key Responsibilities:

<ul>
<li>Assist in collecting, cleaning, and processing large datasets using SQL and Python.</li>
</ul>

<ul>
<li>Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.</li>
</ul>

<ul>
<li>Develop, maintain, and enhance interactive dashboards using tools like Tableau or Power BI to communicate key metrics.</li>
</ul>

<ul>
<li>Support the development and implementation of basic machine learning models.</li>
</ul>

<ul>
<li>Help in evaluating and experimenting with Large Language Models (LLMs) for data-related tasks, support key GenAI initiatives</li>
</ul>

<ul>
<li>Collaborate with team members to present data-driven insights and recommendations to stakeholders.</li>
</ul>

Qualifications:

<ul>
<li>Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is preferred.</li>
</ul>

<ul>
<li>Experience: 3-5 year of experience in data analysis through internships, academic projects, or coursework.</li>
</ul>

Technical Skills:

<ul>
<li>Strong proficiency in SQL for querying and manipulating data from relational databases.</li>
</ul>

<ul>
<li>Solid programming skills in Python, including experience with libraries such as Pandas and NumPy.</li>
</ul>

<ul>
<li>Hands-on experience creating dashboards and visualizations using Tableau or Power BI.</li>
</ul>

<ul>
<li>Basic knowledge of Machine Learning concepts and algorithms (e.g., regression, classification, clustering).</li>
</ul>

<ul>
<li>A foundational understanding of Large Language Models (LLMs) and their potential applications.</li>
</ul>

Soft Skills:

<ul>
<li>Strong analytical and problem-solving abilities.</li>
</ul>

<ul>
<li>Excellent communication and teamwork skills.</li>
</ul>

<ul>
<li>A proactive attitude with a strong desire to learn and take initiative.</li>
</ul>

Good to Have

<ul>
<li>Basic knowledge of financial domains, including markets, instruments, or accounting principles.</li>
</ul>

<ul>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud.</li>
</ul>

<ul>
<li>Familiarity with version control systems like Git</li>
</ul>

Senior Data Analyst

Role: The analyst would support EDAI Products Analytics team for data science initiatives Work closely with business leaders in US and India counterparts to understand business problems, finalize scope, propose solutions and handle end-to-end execution Support ongoing initiatives related to reporting, predictive models in development and data exploration Build strong business relationships with business partners, stakeholders, Technology teams to ensure smooth execution and delivery of BAU projects Key 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. Qualifications: Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is preferred. Experience: 3-5 year of experience in data analysis through internships, academic projects, or coursework. Technical Skills: 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. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. A proactive attitude with a strong desire to learn and take initiative. Good to Have Basic knowledge of financial domains, including markets, instruments, or accounting principles. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with version control systems like Git

Senior Data Analyst in New Delhi (UID-15576)

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