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Senior Data Analyst

4 - 6 years

9 - 10 Lacs

Posted:21 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for an individual with analytical mindset for Reporting and Analytics role in the Advisor Business Development Group (ABDG). To be a strong candidate for this role, candidate should possess strong quantitative, analytical, programming, communication, and problem-solving skills. Candidate should be collaborative, trustworthy, receptive to feedback, and eager to learn. Role will require strong knowledge of Python, SQL and Data Lake. The candidate will be required to spend majority of time on reporting, ad-hoc analytics and automation.

Key Responsibilities

  • Working with ABDG internal teams and business leaders to define and document business requirements
  • Translating business requirements into analytical solutions
  • Translate analytic output into understandable and actionable business knowledge
  • Perform and deliver on complex ad-hoc business analysis requests
  • Understand the business processes and the interdependencies of various systems.
  • Process multiple reports within defined turnaround time (TAT) and perform quality checks to ensure high accuracy
  • Maintain existing scripts & incorporate changes whenever required.
  • Maintain documentation of all processes/reports being created.
  • Working with ABDG internal teams and business leaders to define and document business requirements
  • Translating business requirements into analytical solutions
  • Translate analytic output into understandable and actionable business knowledge
  • Perform and deliver on complex ad-hoc business analysis requests
  • Conduct A/B Test analysis, Sales funnel analysis whenever required.
  • Solve complex problems; takes a new perspective using existing solutions
  • Works independently; receives minimal guidance
  • Contribute to process improvement efforts


Required Qualifications

  • Bachelor’s degree in technology, computer science or Data Analytics
  • Strong academic background with good analytical and problem-solving skills.
  • 4-6 years of experience in reporting & Analytics.
  • Strong knowledge of Python programming
  • Strong knowledge of RDBMS, SQL and ability to connect to a variety of data sources.
  • Advanced skills in writing complex queries, developing reports and automation of report distribution.
  • Experience documenting business and technical processes.
  • Self-motivated, ability to work independently and in a team environment.
  • Thought leader to strategize and lead the change and the new initiatives for the global teams
  • High sense of urgency and ability to adapt to a changing environment.
  • Strong oral and written communication skills.


Preferred Qualifications

  • Knowledge of AWS/ Power BI/ Quick Sight will be plus

About Our Company
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. 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.

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, veteran status, marital status, family status or any other basis prohibited by law.

Full-Time/Part-Time

Full time

Timings

(2:00p-10:30p)

India Business Unit

AWMPO AWMP&S President's Office

Job Family Group

Data

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