Senior Data Analyst

Ameriprise Financial Services, LLC

. Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance .

Posted 9/29/2026full-timeGurugram • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and visualization, utilizing tools such as Power BI and Tableau to deliver actionable insights. Proficient in Python and SQL for data modeling and automation, with a strong focus on enhancing client engagement and business performance.

Highest-signal resume keywords

Power BITableauPythonSQLData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ModelingAutomationTrend AnalysisForecasting

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

SnowflakeAWSAI-Enabled Tools

Industry Keywords

Financial ServicesAsset Management

Tech Stack

Tools & technologies

AWSPythonSQLTableau

About the role

Key responsibilities & impact

Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance
Design and maintain scalable dashboards and reporting solutions for strategic and operational decisions
Identify and implement automation opportunities to improve productivity, data accuracy, and turnaround time
Support trend analysis, forecasting, and business diagnostics aligned to business priorities
Collaborate with business stakeholders to understand requirements, prioritize initiatives, and deliver high-impact solutions
Transform data into actionable insights that enhance commercial decision-making and client engagement

Requirements

What you’ll need

Bachelor’s or master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics)
Working experience and strong knowledge in Power BI or Tableau, with willingness to build capability across both platforms
Strong proficiency in Python and SQL for data analysis, modeling, and automation
Familiarity with modern data ecosystems, including Snowflake and AWS, preferred
Exposure to AI-enabled tools such as Copilot
Demonstrated ownership mindset, consistent delivery quality, and strong problem-solving capability
Excellent written and verbal communication skills, with ability to simplify complex insights
Prior experience within financial services or asset management advantageous but not mandatory
Ability to work in the office at least three days per week, with flexibility to work from home two days per week
Availability for India business unit timings of 11:30a–8:00p

Benefits

Comp & perks

Inclusive, collaborative culture
Opportunities to make an impact at the office and in the community
Hybrid work arrangement: work from home two (2) days per week
Equal opportunity and inclusive, accessible recruitment process
Reasonable accommodation support during recruitment and interviews