MSCI is hiring again for a fresher entry level Python Data Analyst role in India

Position:

• Python Data Analyst

Company:

• MSCI Services Private Limited

Location:

• Bengaluru, Karnataka, India

Job Type:

• Full-Time

Job Mode:

• On-Site/Hybrid (as per company norms)

Job Requisition ID:

• 2024-1465

Years of Experience:

• Not explicitly mentioned; open to suitable candidates with relevant skills. (0-3 years)
  

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Company Description

MSCI Services Private Limited is a global leader in providing decision-support tools and services to the investment community. With over five decades of expertise in research, data analytics, and technology, MSCI helps clients make better investment decisions by providing comprehensive insights into risk and return drivers.

• The company specializes in offering industry-leading research-driven solutions, empowering clients to build more transparent and effective portfolios.
• MSCI operates with a commitment to innovation, leveraging advanced technology and fostering a collaborative environment to deliver exceptional results.
• Headquartered in New York, MSCI maintains a strong presence in India, with state-of-the-art facilities in Bengaluru, which serve as a hub for innovation and operational excellence.
• MSCI promotes diversity, equity, and inclusion through Employee Resource Groups and offers extensive benefits and professional development opportunities to employees.
• As an equal opportunity employer, MSCI ensures a non-discriminatory environment, providing reasonable accommodations to individuals with disabilities.

At MSCI, you’ll join a high-performing team passionate about advancing the global investment landscape, making it a rewarding workplace for curious and entrepreneurial minds.

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Profile Overview

The Python Data Analyst will play a crucial role in supporting MSCI’s Data Services team. This role involves processing, analyzing, and archiving critical financial data, which supports the company’s goal of delivering clarity in investment decisions.

• Responsibilities include ensuring the consistency and accuracy of data across systems, along with meticulous documentation and digital archiving.
• The role demands proficiency in handling time-sensitive client requests, administrative quality checks, and adherence to established documentation protocols.
• As part of a collaborative team, the analyst will be exposed to cutting-edge financial technologies, enabling them to grow professionally while contributing to impactful solutions.
• The ideal candidate should bring experience with databases, records management, or related areas, emphasizing organization and adherence to deadlines.
• This is an excellent opportunity for individuals passionate about working at the intersection of data analytics and the investment industry.

With opportunities for growth and access to MSCI’s robust learning platforms, the role is tailored for professionals seeking to expand their skills while contributing to meaningful projects.

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Qualifications

To excel in the role of Python Data Analyst, candidates are expected to possess the following qualifications and skills:

Technical Skills:

• Experience in managing records, databases, accounting systems, or related business functions with stringent deadlines.
• Proficiency in using software such as Microsoft Word, Excel, and other database applications.

Organizational and Administrative Abilities:

• Strong organizational skills to manage multiple projects effectively.
• Meticulous attention to detail to ensure accuracy and consistency across all data entry and documentation tasks.

Professional Competencies:

• A professional demeanor, demonstrating reliability and a strong work ethic.
• Capability to handle time-sensitive client requests and prioritize tasks efficiently.

Desirable Attributes:

• A background in administrative roles, particularly within data or financial domains.
• Enthusiasm for learning new tools and technologies in the field of data analytics.

These qualifications highlight the importance of precision, adaptability, and collaboration in achieving success in this dynamic role.

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Additional Info

The Python Data Analyst role at MSCI comes with numerous benefits and unique opportunities to support your career growth and overall well-being:

Compensation and Benefits:

• Transparent and competitive compensation packages.
• Comprehensive employee benefits tailored to support financial security, health, and well-being.

Work Environment:

• Flexible working arrangements supported by advanced technologies and modern office spaces.
• A vibrant workspace in Bengaluru’s IT hub, featuring ergonomic workstations and collaborative areas.

Professional Development:

• Access to tailored learning platforms like Learning@MSCI and LinkedIn Learning Pro.
• Opportunities for internal mobility and multi-directional career paths to foster personal and professional growth.

Inclusive Culture:

• An inclusive environment supported by Employee Resource Groups such as Women in Tech, Black Leadership Network, and Pride & Allies.
• Commitment to diversity and fostering a sense of belonging for all employees.

At MSCI, the focus is not only on achieving business success but also on creating a fulfilling and innovative workplace where employees can thrive.

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Recruitment Process

Step 1: Apply Online

• Submit your application online by uploading your CV, highlighting your skills and experiences relevant to the role.

Step 2: Initial Screening

• If shortlisted, recruiters will contact you to discuss your motivations, experience, and background.

Step 3: Team Interviews

• Participate in interviews (virtual or in-office) to gain insights into the role and the team’s dynamics.

Step 4: Offer and Onboarding

• Upon selection, receive a formal offer and complete background checks before joining the team.

This structured recruitment process ensures a seamless transition into MSCI’s professional environment.

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By joining MSCI as a Python Data Analyst, you’ll have the opportunity to make meaningful contributions to the investment community while advancing your career in a supportive and dynamic workplace.

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