Data Analyst Job Openings in Noida & Gurgaon 2026
Ameriprise announced job vacancy for the post of Data Analyst. The place of posting will be at Noida & Gurgaon (Hybrid). Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | Ameriprise |
| Required Qualifications | Graduate / Post Graduate |
| Skills | Strong proficiency in SQL |
| Category | Data Analysis |
| Work Type | Hybrid |
| Closing Date | 28.February.2026 |
They’re looking for a highly motivated and detail-oriented Data Analysis to join their dynamic team. This is a fantastic opportunity to gain hands-on experience in data analysis, machine learning, and cutting-edge technologies like Large Language Models (LLMs). You’ll work closely with their data science and business teams to extract valuable insights from complex datasets and contribute to impactful projects.
Job Details
Θ Positions: Data Analyst
Θ Job Location: Noida & Gurgaon (Hybrid)
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: R26_0333
Roles and 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.
Required Skills & Qualifications:
- Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is preferred.
- Experience: 1-3 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, Google Cloud.
- Familiarity with version control systems like Git
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