The Role
The Senior Data Analyst will collect and manage investment data, resolve data issues, participate in projects, and enhance data quality processes, while mentoring others.
Summary Generated by Built In
Role : Senior Data Analyst
Roles & Responsibilities:
Requirements:
Morningstar is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days 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
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 is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days 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
What the Team is Saying
Raaghavendar
Associate Software Engineer
Saurabh
Senior Software Engineer
Anna
Team Lead of Software Engineering
Wendell
Head of Sales, Institutional Equity Research
Jeff
Head of Technology and Product
Upasna
Software Engineer, Data Collections - AI R&D
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The Company
What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
Gallery
Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
