Data Analyst Job Vacancies At Ameriprise India

Qualifications:

• Stakeholder Communication: Proven ability to manage communication across diverse stakeholders independently.
• Self-sufficiency: Capable of handling day-to-day BAU tasks with minimal supervision.
• Process Expertise: Strong, expert-level understanding of processes.
• Work Mastery: Well-versed in the responsibilities and work of both self and mentees.
• Multi-tasking Ability: Skilled in juggling multiple projects and responsibilities efficiently.
• Project Management: Successfully managed at least one Lean or Automation project in the last year (approved by the RPA team).
• Technical Skills: Acquired and applied new technical skills (SQL, VBA, Power BI, Tableau) to deliver projects and add value to the team.
• Tool Proficiency: Expertise with key tools like Celsus, CTS, and Pathfinder.
• Platform Knowledge: Comfortable navigating both CIQ and MI platforms.
• Communication: Articulate and fluent in both written and spoken communication.

Key Roles & Responsibilities:

• Project/Workflow Management: Independently handle and deliver high-quality projects and tasks within deadlines.
• Data Analysis & Process Improvement: Analyze data for allocated projects and drive improvement discussions with stakeholders.
• Team Targets: Meet individual and team performance targets.
• Mentorship: Provide mentorship and support to team members.
• Training & Knowledge Sharing: Conduct training sessions for new hires and refresher courses, ensuring procedures are up-to-date across teams.
• Tool & Process Expertise: Maintain a strong understanding of datasets, workflows, and work tools.
• Innovation & Suggestions: Proactively suggest new SQL reports, process enhancements, and automation ideas.
• Collaboration: Effectively collaborate with stakeholders across different teams and locations.
• Troubleshooting: Identify and resolve problems while providing support to team members.
• Learning & Development: Complete required training courses (LX and mandatory) within deadlines.

The Team:

The Public Ownership Team within the Deals, Ownership, and Institutional Profiles (DOI) Cluster is responsible for collecting, linking, and maintaining shareholding data for publicly listed companies worldwide. Ownership data is sourced from filings, annual reports, and exchange notifications and is linked to respective owners.

The Impact:

This role sits within the Centre of Excellence for the DOI cluster and plays a key role in ensuring the quality of the Public Ownership dataset. In addition to working closely with the team, this role will involve collaborating on process improvement projects, interacting with cross-location teams, and gaining deep insights into the public ownership domain. This experience provides an excellent stepping stone to understand investment data and analytics, directly applying this knowledge to day-to-day responsibilities.