Ameriprise is Hiring Data Analyst in Gurugram
Data & Analytics | Gurugram
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Job Overview
Ameriprise India LLP is hiring a Data Analyst to support business analytics, reporting, predictive modeling, and data-driven decision-making initiatives. The role offers an opportunity to work with analytics teams and business stakeholders to develop actionable insights, build analytical solutions, and support strategic business objectives.
This position is ideal for candidates with strong Python, SQL, analytics, and problem-solving skills who are looking to grow their careers in financial services analytics. The selected candidate will primarily focus on ad-hoc analytics and reporting while gaining exposure to predictive modeling, machine learning, and advanced analytics projects.
💡 Why this role?
Join a leading financial services organization to leverage your Python and SQL skills in developing impactful analytical solutions, predictive models, and reports that drive strategic business decisions.
This opportunity is ideal for candidates searching for:
Roles & Responsibilities
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Gather and document business requirements from stakeholders, translating them into actionable analytical solutions.
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Perform complex ad-hoc business analysis and support the development of predictive models for various business use cases.
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Create and execute reports for tracking performance, model validation, and generating actionable insights from analytical outputs.
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Collaborate with US counterparts on analytics initiatives, prioritizing business requirements in a fast-paced matrix environment.
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Present findings to stakeholders, maintain project documentation, ensure adherence to quality governance standards, and support advanced ML initiatives.
Eligibility Criteria
Education
BE/B.Tech, Master's in Economics/Math/OR, or PG in Data Science/ML from a reputed institute.
Experience
1–3 years of experience in Analytics, working with business reporting and analytical projects.
Technical & Core Competence
Strong expertise in Python Programming, SQL, and Advanced Microsoft Excel. Candidates must possess solid skills in Data Analysis, Reporting, Dashboarding, and Statistical Analysis.
How to Apply
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