💼 Ameriprise India Data Analyst Job Alerts 2025 | WFH (Hybrid) | Noida, Uttar Pradesh
Ameriprise India is hiring talented candidates for the role of Data Analyst for its Noida, Uttar Pradesh location.
Check out the full details about Ameriprise India Data Analyst Job Alerts 2025 below 👇
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🏢 Company Details
Company Name: Ameriprise India
Job Role: Data Analyst
Job Category: Data Analytics
Job Location: Noida, Uttar Pradesh, India (WFH/Hybrid Mode)
Job ID: R25_0000003595
Employment Type: Full Time
Education Required: Engineering Degree (BE/BTech) or Master’s in Economics/Mathematics/Operations Research or PG in Data Science/ML
Experience: 1–3 Years
Salary: As per Company Standards
💡 Required Qualifications
- Bachelor’s/Master’s degree in a relevant field (STEM, Data Science, or Analytics)
- 1–3 years of hands-on experience in Data Analytics
- Proficiency in Python or R and strong SQL data manipulation skills
- Expertise in Power BI or Tableau
- Strong analytical, problem-solving, and programming skills
- Excellent command over MS Excel, PowerPoint, and Word
- Outstanding communication and team collaboration skills
🌟 Preferred Qualifications
- Experience with Dataiku or AWS tools (e.g., SageMaker Studio, Athena)
- Exposure to predictive modeling and machine learning
- Experience in Agile environments and cross-functional teamwork
🎯 Key Responsibilities
- Partner with business stakeholders to gather and refine data requirements
- Perform complex ad-hoc analyses and develop actionable insights
- Build predictive models to support strategic business goals
- Design and execute reports for program tracking and validation
- Translate analytics results into clear, business-friendly insights
- Collaborate with U.S. counterparts to align on global data strategies
- Prioritize and coordinate analytics projects across teams
- Maintain high-quality standards in documentation and reporting
🤝 About the Role
As a Data Analyst at Ameriprise India, you’ll play a vital role in enabling data-driven decision-making across marketing and business operations.
This role is ideal for analytical thinkers with a passion for problem-solving, collaboration, and continuous learning in a fast-paced environment.
🧠 Skills Required
- Strong quantitative and analytical mindset
- Excellent communication and presentation skills
- Ability to work efficiently on multiple projects
- Eagerness to learn and apply modern data science techniques
📝 Application Process
Apply now using the link below 👇
👉 Click Here To Apply (Apply before the link expires)
Note: Only shortlisted candidates will receive a call letter for further rounds.