Morningstar is hiring for an FRESHER entry level Data Analyst role in India

Position: Data Analyst

Company: Morningstar

Location: Navi Mumbai, India

Job type: Full-time

Job mode: Hybrid

Job requisition id: REQ-054488

Years of experience: 0-1 years

Company description

• Morningstar is a preeminent global authority in the field of independent investment research and financial data services.

• With a mission deeply rooted in empowering investor success, the organization provides a bridge between complex financial markets and the individuals or institutions seeking clarity.

• Operating in over 32 countries worldwide, the firm manages and provides insights for hundreds of billions of dollars in assets.

• The company is built upon core pillars of independence, transparency, and long-term strategic thinking to ensure financial security for its clients.

• Morningstar offers a comprehensive suite of products and services, ranging from managed investment data to ESG taxonomies and private market transactions.

• The work culture at Morningstar is characterized by a strong emphasis on professional development, mentorship, and a collaborative in-office environment.

• They are a leader in financial technology, constantly innovating to create tools that simplify the investing process for financial advisors and asset managers.

• The firm is committed to diversity and inclusion, operating as an equal-opportunity employer that values the unique contributions of every team member.

• Morningstar's footprint in India, specifically in Navi Mumbai, serves as a critical hub for global data operations and analytics.

• Joining Morningstar means becoming part of a community that values curiosity, attention to detail, and a proactive approach to solving global financial challenges.

Profile overview

• The Data Analyst position at Morningstar is a dynamic entry-level role designed for ambitious individuals looking to launch a career in the financial services and data management sector.

• As a member of the Data and Operations group, the successful candidate will be responsible for the end-to-end lifecycle of investment data.

• The role involves high-level searching, collection, and verification of complex financial datasets, ensuring that all information meets rigorous quality standards.

• Analysts will work with various asset classes, including public equity filings, private market transactions, and managed investment funds.

• A significant portion of the day-to-day responsibilities involves resolving internal and external client queries regarding data methodologies.

• The position requires a high degree of collaboration with cross-functional teams to identify and rectify data discrepancies or process inefficiencies.

• Candidates will undergo structured training sessions to build deep domain knowledge in investment management and technical skills in SQL and Power BI.

• The role offers the chance to participate in stretch projects that go beyond core responsibilities, allowing for innovation and tool improvement.

• There is a heavy emphasis on productivity, quality, and timeliness to ensure that global clients receive accurate real-time data.

• This is a permanent position based in the Vashi office, requiring flexibility to work across various rotational shifts, including early morning and night shifts.

Qualifications

• Applicants should ideally hold a Bachelor’s degree in Finance, Economics, or a related quantitative field to provide a strong theoretical foundation.

• A minimum academic performance of 60% marks is required to demonstrate consistency and a strong grasp of subject matter.

• Exceptional English communication skills are mandatory, covering written, oral, and reading comprehension to facilitate global collaboration.

• Proficiency in Microsoft Office tools is essential, with a specific focus on advanced Excel functions and professional Word documentation.

• The role is perfectly suited for fresh graduates or early-career professionals who have up to one year of relevant experience in data or finance.

• Candidates must possess a high level of attention to detail to ensure the accuracy of large-scale financial datasets.

• A proactive mindset and a natural sense of curiosity are highly valued for troubleshooting and improving existing data processes.

• The ability to learn quickly and adapt to new research methods and processing standards is a key requirement for success.

• Strong organizational skills are necessary to effectively prioritize tasks and perform consistently under tight deadlines.

• Technical aptitude for learning data-centric languages and tools like SQL and Power BI is expected as part of the professional growth path.

Additional info

• This role follows a hybrid work model, with an emphasis on a four-day in-office culture to promote teamwork and innovation.

• Morningstar provides shift allowances as a recognition of the flexibility and commitment required for rotational shift work.

• The hiring process is rigorous, beginning with an online assessment that tests domain knowledge, cognitive ability, and typing speed.

• Successful candidates from the assessment phase are invited to an Information Session to learn more about the business units and culture.

• The final selection involves two rounds of interviews where candidates can engage directly with hiring managers and team leads.

• Anticipated joining for this specific cohort is scheduled for the second quarter of 2026 (Q2-26).

• The office location is situated in Vashi, Navi Mumbai, making it ideal for local residents who can commute easily for various shift timings.

• Beyond the core job, Morningstar offers career development workshops and hands-on experience through the Early Career program.

• The organization provides reasonable accommodations for applicants with disabilities to ensure an inclusive recruitment experience.

• Employees enjoy a sense of belonging and flexibility, with tools and resources provided to engage meaningfully with global colleagues across different time zones.

Detailed Role Responsibilities and Expectations

• Conducting exhaustive searches for financial data points within public filings and regulatory documents.

• Utilizing advanced data collection techniques to harvest information from diverse and complex global markets.

• Verifying the accuracy of captured data by comparing it against secondary sources and internal benchmarks.

• Maintaining deep knowledge of ESG taxonomies to ensure sustainable investment data is categorized correctly.

• Interacting with institutional clients to clarify data points and provide insights into Morningstar’s proprietary methodologies.

• Adhering strictly to policy guidelines to maintain the integrity and transparency of the global data warehouse.

• Developing mastery over internal research tools and software to maximize daily output without compromising quality.

• Participating in daily huddles and team meetings to coordinate efforts on high-priority data projects.

• Identifying trends in data errors and proposing systematic solutions to prevent recurring issues.

• Documenting new processes and updates to data collection manuals for use by the wider global team.

• Managing managed investment data flows, specifically focusing on mutual funds and hedge fund filings.

• Assisting senior analysts in high-complexity data verification tasks during peak earnings seasons.

• Balancing individual workload with collective team goals to meet Service Level Agreements (SLAs).

• Learning the nuances of reference entity data to support the accuracy of fixed income and equity products.

• Demonstrating a commitment to long-term thinking by focusing on data quality that builds trust with investors.

Technical Skill Development and Growth

• Building a solid foundation in SQL to query large databases and extract specific data subsets for analysis.

• Enhancing Excel skills to include pivot tables, VLOOKUPs, and complex formulas for data manipulation.

• Gaining exposure to Power BI for the creation of data visualizations and internal dashboards.

• Understanding the lifecycle of a private market transaction from initial announcement to final closing data.

• Developing a keen understanding of investment management principles to contextualize the data being processed.

• Engaging in peer-review sessions to learn from the best practices of experienced data professionals.

• Utilizing automation tools where possible to streamline repetitive data entry and verification tasks.

• Attending workshops on emerging financial technologies and their impact on data research.

• Exploring opportunities in stretch projects involving Python or other scripting languages for data mining.

• Transitioning from basic data collection to intermediate and advanced levels of complexity over the first year.

• Participating in mentorship programs that pair new hires with senior leaders within the Data and Operations group.

• Leveraging Morningstar’s extensive internal library of financial research and training modules.

• Gaining a global perspective by working on datasets from North America, Europe, Australia, and Asia.

• Developing professional soft skills, including time management, conflict resolution, and stakeholder management.

• Preparing for future roles within the organization, such as Senior Data Analyst or Team Lead, through consistent performance.

Workplace Environment and Shift Structures

• The Early Morning Shift (AU) caters to the Australian market, requiring a start time of 5:30 AM.

• The General Shift (10 AM to 7 PM) provides coverage for standard business hours in the India time zone.

• The Afternoon Shift (UK) aligns with European market hours, finishing at midnight.

• The Night Shift (US) is dedicated to North American markets, operating from 8 PM to 5 AM.

• Shift rotation ensures that every analyst gains a holistic understanding of different global market dynamics.

• The office is designed to foster collaboration, featuring modern workstations and interactive breakout zones.

• Hybrid flexibility allows for up to two days of remote work per week, depending on business unit needs.

• The culture encourages employees to "bring their whole self to work," fostering an environment of authenticity.

• Health and safety protocols are strictly followed to ensure a comfortable working environment for all shift timings.

• Team outings and cultural events are organized regularly to build a strong sense of community within the Mumbai hub.

• Access to global colleagues is facilitated through advanced communication and project management tools.

• The Vashi location offers excellent connectivity to the local transportation network for late-night and early-morning commutes.

• Morningstar invests heavily in employee well-being, providing resources for mental and physical health.

• The "Meaning, Belonging, and Flexibility" framework is central to the daily operations of the company.

• Employees are rewarded for their contributions through a competitive compensation structure and recognition programs.

Commitment to Quality and Investor Success

• Every data point verified contributes to the goal of empowering investor success through transparency.

• High-quality data ensures that financial advisors can make the best recommendations for their clients.

• The analyst's role is critical in maintaining Morningstar's reputation as a trusted source of independent research.

• Continuous improvement of tools and processes ensures that the company stays ahead of market changes.

• Data integrity is maintained through a combination of manual verification and sophisticated technological checks.

• The focus on long-term thinking means that analysts are encouraged to look beyond the numbers.

• Understanding the "why" behind data changes helps in providing better service to internal stakeholders.

• The company’s mission is integrated into every aspect of the data management lifecycle.

• Success is measured not just by speed, but by the reliability and depth of the information provided.

• Every analyst at Morningstar acts as a guardian of the principles of independence and transparency.

• The impact of this work is felt by millions of individual investors seeking financial security.

• Rigorous data methodologies are applied across all 32 countries where Morningstar operates.

• The firm’s commitment to providing "meaningful" work ensures that every task has a purpose.

• Constant feedback loops with clients help in refining data collection strategies.

• Professional ethics and accuracy are the cornerstones of the Morningstar Data Analyst profile.

Strategic Importance of the Data and Operations Group

• This group serves as the engine room of the company, fueling all research and technology products.

• Data Analysts are the frontline researchers who transform raw filings into actionable insights.

• The diversity of datasets handled by this team is unmatched in the financial research industry.

• Operations in Navi Mumbai are essential for maintaining 24/7 global market coverage.

• The group is responsible for the accuracy of $300+ billion in assets under management (AUMA) insights.

• Collaborative projects with the technology team lead to the development of next-generation data tools.

• The team provides essential support to asset managers and owners in the debt and private capital markets.

• Institutional investors rely on the data produced by this group for their daily decision-making processes.

• The group’s work supports Morningstar’s status as a global leader in independent investment insights.

• Constant innovation within the operations group allows Morningstar to scale its services globally.

• Analysts gain exposure to real-time market data, providing a pulse on global financial health.

• The group fosters a culture where ideas matter and the smallest process improvement can have a global impact.

• Team members are encouraged to challenge the status quo and find more efficient ways to manage data.

• The Data and Operations group is a launchpad for careers in quantitative research and product management.

• Being part of this group means being at the center of the financial information revolution.

Please click here to apply.