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Morningstar

Senior Data Analyst

Reposted Yesterday
Hybrid
Navi Mumbai, Thane, Maharashtra
Senior level
Hybrid
Navi Mumbai, Thane, Maharashtra
Senior level
The Senior Data Analyst will manage investment data collection, ensure data accuracy, facilitate cross-team projects, and improve data quality processes.
The summary above was generated by AI
Title: Senior Data Analyst
Location: Vashi, Navi Mumbai
Roles & Responsibilities:
  • Actively collect managed investment data using Morningstar collection systems, and ensure data timelines, completeness and accuracy to meet business goals.
  • Manage relationships between Morningstar and Asset Management companies, insurance companies and other data vendors.
  • Partner with quality assurance, products, and technical departments to resolve clients' data issues timely and effectively.
  • Participate in the initiatives focused on consolidating global data collection platforms and supporting database integration projects.
  • Establish and achieve the set Objectives & Key Results (OKRs) with the direction of team lead.
  • Monitor, analyze and execute summary reports including an investigation of potential data error to continuously improve data collection and quality assurance process using Lean Six Sigma tools.
  • Actively discover and raise issues in work (including system, process, and collection methodology) and propose enhancement suggestions to further improve system functionality, process efficiency and data quality.
  • Participate in data and process related projects such as industry/market research, market expansion, process certification, new product development support, etc.
  • Facilitate cross-team projects to implement approved solutions based on priority and impact.
  • Demonstrate a high sense of ownership of the process, understand roles & responsibilities by acting as a process trainer and mentor

Requirements:
  • > 3 years' experience in finance domain, with emphasis on collection systems and methodologies, senior data research analyst role or above.
  • ESG experience is desirable and would be an added advantage
  • Good command in MS Office (Excel, PowerPoint etc.); advanced users preferred. SQL, Macro or Python and machine learning will be a plus.
  • Should be critical thinker and should possess good communication skill.
  • Should be equipped with understanding of data competencies like data content expertise, data analysis etc.
  • Strong analytical, problem-solving capabilities, and excellent communication written as well as verbal & reporting skills.
  • Should be a good team player with good learning ability and equipped with self-motivation in an independent, fast-paced work environment.
  • Ability to exercise control over the planned activities like training / mentoring new hires, doing quality checks etc.
  • Able to work under tight deadlines and handle pressure during peak seasons.
  • Good project management skills with proven track record of working on and delivering projects independently.
  • Remote team working experience is a plus.
  • Flexibility to work in shifts.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Top Skills

Machine Learning
MS Office
Python
SQL

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