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Senior Business Data Analyst

Gurugram, Haryana, India

Pay
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Unconfirmed
Employment
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Full-Time/Part-Time Full time Timings
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What you’ll work on

Full posting

We are seeking a high-performing, data-driven professional to support EMEA Distribution through data refinement, governance, analytics, process automation, and AI-enabled initiatives.

The successful candidate will bring strong technical proficiency, a collaborative mindset, intellectual curiosity, and a commitment to continuous improvement, with the ability to deliver high-quality outcomes in a fast-paced business environment.

  • Drive Commercial Insights: Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance.

From the employer’s posting
We are seeking a high-performing, data-driven professional to support EMEA Distribution through data refinement, governance, analytics, process automation, and AI-enabled initiatives. The role will focus on transforming EMEA Distribution client data for trusted insights, strengthening stakeholder engagement, understanding business pain points, and enhancing commercial decision-making through effective use of data and technology.
The successful candidate will bring strong technical proficiency, a collaborative mindset, intellectual curiosity, and a commitment to continuous improvement, with the ability to deliver high-quality outcomes in a fast-paced business environment.
Key Responsibilities Drive Commercial Insights: Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance. Data Transformation: Drive client data transformation and in alignment with enterprise data governance practices

What you’ll bring

All qualifications

Core experience

  • Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics).
  • Demonstrated ownership mindset, consistent delivery quality, and strong problem-solving capability.
  • Strong proficiency in Python and SQL for data analysis, modeling, and automation.

Preferred experience

  • Familiarity with modern data ecosystems, including Snowflake and AWS, is preferred.
  • Prior experience within financial services or asset management is advantageous but not mandatory.
Qualification wording
Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics).
Demonstrated ownership mindset, consistent delivery quality, and strong problem-solving capability.
Strong proficiency in Python and SQL for data analysis, modeling, and automation.
Familiarity with modern data ecosystems, including Snowflake and AWS, is preferred.
Prior experience within financial services or asset management is advantageous but not mandatory.
Education & alternatives
Required Qualifications - Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics). - Strong proficiency in Python and SQL for data analysis, modeling, and automation.

Tools in this posting

  • Python
  • SQL
  • AWS
  • Snowflake
  • Tableau
  • Power BI
Source — Tool mentions in context
- Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics). - Strong proficiency in Python and SQL for data analysis, modeling, and automation. - Strong attention to detail, with proven ability to identify data irregularities, conduct root-cause analysis, and work extensively with untidy data and spreadsheets.
- Basic to intermediate understanding of machine learning concepts, with a willingness to further develop applied analytics and AI capabilities. - Familiarity with modern data ecosystems, including Snowflake and AWS, is preferred. - Exposure to AI-enabled tools (e.g., Copilot) to enhance efficiency and output quality.
- Prior experience within financial services or asset management is advantageous but not mandatory. - Basic Power BI/ Tableau skills. In-Office Collaboration

About Ameriprise

Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years.

In the employer’s words · Read in context

Job description

View original posting ↗

About Our Company

Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection.

Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP.

Job Description

We are seeking a high-performing, data-driven professional to support EMEA Distribution through data refinement, governance, analytics, process automation, and AI-enabled initiatives. The role will focus on transforming Distribution client data for trusted insights, strengthening stakeholder engagement, understanding business pain points, and enhancing commercial decision-making through effective use of data and technology.

Role Overview

We are seeking a high-performing, data-driven professional to support EMEA Distribution through data refinement, governance, analytics, process automation, and AI-enabled initiatives. The role will focus on transforming EMEA Distribution client data for trusted insights, strengthening stakeholder engagement, understanding business pain points, and enhancing commercial decision-making through effective use of data and technology.

The successful candidate will bring strong technical proficiency, a collaborative mindset, intellectual curiosity, and a commitment to continuous improvement, with the ability to deliver high-quality outcomes in a fast-paced business environment.

Key Responsibilities

  • Drive Commercial Insights: Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance.
  • Data Transformation: Drive client data transformation and in alignment with enterprise data governance practices
  • Process Automation & AI driven initiatives: Deliver automation/ AI initiatives to enhance productivity, data accuracy, and turnaround time.
  • Advanced Analytics: Support analytical initiatives, including trend analysis, forecasting, and business diagnostics, as aligned to business priorities.
  • Stakeholder Engagement: Build strong stakeholder relationships to understand requirements, prioritize initiatives, and deliver high-impact solutions.

Required Qualifications

  • Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics).
  • Strong proficiency in Python and SQL for data analysis, modeling, and automation.
  • Strong attention to detail, with proven ability to identify data irregularities, conduct root-cause analysis, and work extensively with untidy data and spreadsheets.
  • undefined
  • Basic to intermediate understanding of machine learning concepts, with a willingness to further develop applied analytics and AI capabilities.
  • Familiarity with modern data ecosystems, including Snowflake and AWS, is preferred.
  • Exposure to AI-enabled tools (e.g., Copilot) to enhance efficiency and output quality.
  • Demonstrated ownership mindset, consistent delivery quality, and strong problem-solving capability.
  • Excellent written and verbal communication skills, and stakeholder engagement abilities.

Preferred Qualifications

  • Prior experience within financial services or asset management is advantageous but not mandatory.
  • Basic Power BI/ Tableau skills.

In-Office Collaboration

We are a client-centric, relationship-based business. Working together in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Full-Time/Part-Time

Full time

Timings

(11:30a-8:00p)

India Business Unit

AWMPO AWMP&S President's Office

Job Family Group

Sales

Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on ameriprise.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Source & posting history

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Location & working pattern

Gurugram, Haryana, India

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Status in our records
Active
First seen by us
Jul 20, 2026
Recorded sightings
110
Last seen by us
Oct 8, 2026

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