Highlights
Work with cutting-edge technologies, collaborate on impactful projects, and grow your career in a global financial services leader.
Description
Job Summary
pAmeriprise India LLP is seeking a Data Analyst to support EDAI Advisor Analytics team. This role involves working with business leaders in the US and India, performing data analysis, developing machine learning models, and collaborating on various projects.
Responsibilities
- Support EDAI Advisor Analytics team for data science initiatives
- Work closely with business leaders to understand and solve problems
- Collect, clean, and process large datasets using SQL and Python
- Create dashboards and visualizations using Tableau or Power BI
- Develop basic machine learning models
Required Skills
- Data analysis with SQL and Python
- Machine learning fundamentals
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud
- Version control systems such as Git
- Interactive dashboard creation using Tableau or Power BI
Required Skills Explained
- 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.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Familiarity with version control systems like Git.
Who is this for
pThis position is ideal for recent graduates or professionals seeking to gain hands-on experience in data analysis and machine learning. Ideal candidates should have a strong analytical mindset, excellent communication skills, and a proactive attitude.
Why This Job is a Good Opportunity
ulliThe opportunity to work on impactful data science initiatives in the financial services industry.liPotential to gain hands-on experience with cutting-edge technologies such as Large Language Models (LLMs).liCollaboration with talented individuals and business leaders across different regions, enhancing professional growth and networking opportunities.liA supportive culture that values contributions and fosters a sense of community.liThe role offers flexibility with the option to work from home for part of the week, while still fostering in-person collaboration.
Interview Preparation Tips
- Review SQL queries and Python coding challenges to be ready for technical assessments.
- Prepare examples of your experience with data analysis, machine learning, and cloud platforms.
- Practice explaining complex datasets and insights in a clear and concise manner using tools like Tableau or Power BI.
- Discuss potential applications of Large Language Models (LLMs) and how they can be integrated into the role.
- Highlight your soft skills, such as analytical abilities and communication, which are crucial for this position.
Career Growth in This Role
pGrowth opportunities abound within this role. As a Data Analyst, you will have the chance to advance your technical skills through ongoing projects and learning new technologies like Large Language Models (LLMs). The ability to contribute to impactful initiatives can lead to recognition and further responsibilities. Additionally, with Ameriprise India LLP's focus on fostering a collaborative environment, there are opportunities for cross-functional collaboration and mentorship from experienced colleagues. The company's emphasis on data-driven decision-making positions employees well for leadership roles in data analytics or related fields.
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Frequently Asked Questions
What is the work schedule like?Employees are required to work in the office at least three days per week with two days of flexible remote work.
Is this a full-time position?Yes, this role is a full-time opportunity. The job family group for this position is Data.
What technology stack will I be working with?You’ll be using SQL, Python, Tableau or Power BI, and AWS for cloud platform experience.
