Search Jobs

Walk-in For Data Research Analyst - Friday 19th July

0 - 2 yrs

Time and Venue

19th July , 9 AM onwards

Venue : Morningstar 14th Floor Vishwaroop IT Park, Beside Kalyan Jewellers, Near Vashi Railway Station. Vashi, Navi Mumbai

Express interest to recruiter and also get a reminder of this walk-in New User? Register Now
1,00,000 - 4,00,000 PA. Openings: 20 Posted 30+ days ago Job Applicants: 241 Job Views: 4500+

Job Description

 
Send me Jobs like this
    Walkin Date : Friday, 19th July 2019
    Timing : 9 am to 9:30 am

    Venue :
    Morningstar
    14th Floor Vishwaroop IT Park,
    Beside Kalyan Jewellers,
    Near Vashi Railway Station.

    Note- Candidates who have appeared for Data Research Analyst role at Morningstar in the last 6 months are not eligible.

    Eligibility Criteria for Freshers / Experienced :

    60 % and above in Final year Graduation Or Post Graduation for all candidates
    Candidates awaiting results for 2019 can apply provided their score in the previous semester is more than 60%.
    MBA / MMS / MCOM / BMS / BBA/ B&I / BCOM / A&F can apply if above criteria are met.
    Mumbai Candidates Preferred.

    Experience : 0 to 3 years

    Below is the detailed job description for the position.

    Position Title: Data Research Analyst

    No of Positions : 20

    Flexible to work in any shift.

    Shift Timings (Morning) : 5:30 am to 2:30 pm (Pick up provided) / General : 10am to 7pm / Afternoon Shift (UK) : 3pm to 12am( Drop provided) / Night Shift (US) : 8pm to 5am (Drop provided)

    Morningstar India is a Great Place to Work certified organization for two consecutive years. This year, we have set ourselves some special organizational goals at a global level. One of them is to focus on Diversity and Inclusion. With this in mind, we believe we can contribute towards the larger goal by hiring more women in to our already diverse workforce. We currently have a diversity ratio of nearly 30% women and 70% men. We would like to improve this in 2019 and this is the first step we are taking towards it. This is a call to all the women out there to look up Morningstar jobs and open positions and apply for them. We look forward to receiving your applications and meeting you for an interview at Morningstar!

    The Group:
    Morningstars Research group provides independent analysis on individual securities, funds, markets, and portfolios. The Research group also provides data on hundreds of thousands of investments offerings, including stocks, mutual funds, and similar vehicles, along with real-time global market data on millions of equities, indexes, futures, options, commodities, and precious metals, in addition to foreign exchange and Treasury markets. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors interests is the foundation of our company.

    The Role:
    In this role you will work on collecting fundamental data from balance sheet, cash flow statement, income statement and footnotes for Global market companies as per the predefined collection policies. You will adhere to local teams goals, policies and procedures and work in a focused manner to achieve the overall organizations goals and objectives. You will be responsible for ensuring and improving the performance, productivity and efficiency and the delivery of the operational performance KPIs. You will effectively manage your performance and development in order to support our continuous operational success.

    Responsibilities:

    Establishing and achieving the set SMART goals with the direction of the team lead.
    Have a very good understanding of the fundamental data for company's income statement, cash flow statement, balance sheet, and other fundamental data sets.
    Participate in the Center of Excellence initiative focused on reducing resource costs, consolidating global data collection platforms, and supporting database integration projects.
    Own and Drive continuous improvement within the process through Quality initiatives.
    Collecting and analyzing equity fundamentals data for Global market and taking ownership in data quality controls to ensure consistent and high quality data are manufactured in order to meet product requirements.
    Manage data as per client-specific requirement, while at the same time adhering to Morningstar's set KPIs and KRAs.
    Develop a thorough understanding of the various filing nomenclature of countries under coverage.
    Passion for data and its impact on decision making.
    Closely work with quality assurance and technical department to resolve clients data issues timely and effectively.
    Actively discover and raise issues in work (including system, process, and collection methodology) and propose enhancement suggestion to further improve system functionality, process efficiency and data quality.
    Participate in other data and process related projects, like industry/market data collection methodology research, market expansion, process certification, new product development support, etc.

    Morningstar is an equal opportunity employer.

Salary: INR 1,00,000 - 4,00,000 PA.

Industry: Banking, Financial Services, Broking

Functional Area: Financial Services , Banking , Investments , Insurance

Role Category:Investment Banking

Role:Equity Analyst

Employment Type: Full Time, Permanent

Keyskills

Company Profile:

Morningstar India (P) Ltd.

Morningstar, Inc. (Ticker: morn) a US Based NASDAQ listed Company. It is a leading provider of independent investment research in the United States and in major international markets.
View Contact Details

Walkin Interview

19th July 9 AM

IEIL has taken all reasonable steps to ensure that information on this site is authentic. Applicants are advised to research bonafides of advertisers independently. IEIL shall not have any responsibility in this regard. We also recommend that you visit Security Guidelines and Terms and Conditions for more comprehensive information on this aspect.

Get Better Jobs & Higher Salaries. Suggested courses

I agree to the Terms and Conditions