Minimum qualifications:

• Bachelor’s degree in Mathematics, Statistics, or Engineering, or equivalent practical experience.
• 2 years of experience in analytical work in strategy consulting, corporate strategy, marketing/sales, or business operations.
• Experience analyzing data with a spreadsheet (e.g. Sheets) and database query (e.g. SQL).
• Experience analyzing trends, identifying insights, and presenting recommendations to executives.

Preferred qualifications:

• Experience in extracting, sampling, and visualization of large data sets.
• Experience with delivering production level metrics, insights, and actions.
• Extensive experience in an analytics role including project management and process optimization with data analytics.
• Experience in user research, operations, or customer support.
• Experience in analytics, problem-solving, and good business judgment.
• Ability to present analysis in a clear and compelling way.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

You Lead the Way. We’ve Got Your Back.

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.

Job Responsibilities:

This position is part of the TLS LFO Finance team and responsibilities include:

• Managing all aspects of TLS Int’l Sales & Revenues results analysis including providing coherent inferences, strategic insights, and a clear view on performance to senior finance and business leaders
• Supporting monthly R&O processes, the annual Plan and Long-Range Plan, considering market/regional/global trends
• Supporting ad-hoc and ongoing analytical projects, influencing TLS strategy and driving prioritization efforts
• Evaluating current processes and recommending improvements/efficiencies
• Providing first-class business analytics to influence business decisions that will drive efficiencies/revenue growth
• Working cross-functionally to source benchmarks and data for key assumptions; quickly learn relevant information and incorporate into analyses
• Building and leveraging relationships with markets to enable efficient and collaborative decision making
• Participate in standardization and continuous improvement initiatives as well as other business partner initiatives

Experience and Qualifications

• Demonstrate strategic thinking and problem-solving skills, with a track record of driving results and resolving issues with minimal supervision
• Exceptional relationship building capability, combined with strong communication and presentation skills; innovative, organized, and thorough
• Strong analytical mindsight with hands-on experience of SQL/ Cornerstone to extract and manipulate data, or with other programming or scripting languages
• Knowledge of Oracle Essbase, TM1, Oracle GL , Advanced Excel, Tableau along with knowledge of Travel Economics
• Self-motivated, a strong work-ethic and open-minded in taking on new challenges
• Flexibility to work across time zones with groups in APAC, EMEA and Americas
• Bachelor’s degree required; MBA or similar advanced qualification preferred

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

In this role Data Analyst, will work on collecting Normalized Profitability Metrics information for Global market companies. This information is obtained from reading and interpreting company disclosures on unusual and non-recurring items that can skew reported earnings. These could include asset impairments and write-off’s, gains and losses from currency adjustments and asset and/or business sales etc. which are captured 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 organization’s 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 Centre 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.

Requirements:

· Bachelor’s degree in economics/ finance/ business with minimum 60% in final year, Master’s degree would be an added advantage. CA Inter/CFA level 1 candidates are also preferred.

· 0-3 years’ experience in the financial domain related to equity data.

· Strong commerce/finance/accounting fundamentals.

· Proficient with the data management policies, procedures and common technical tools.

· Ability to exercise control over the executed tasks with the planned activities.

· Strong analytical and communication skills.

· Good command in MS Office (excel, PowerPoint etc.).

· Excellent communication written as well as verbal & reporting skill

· Prior Knowledge of IFRS GAAP would be an added advantage.

· Able to work under tight deadlines and handle pressure during peak seasons.

Morningstar is an equal opportunity employer

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity