What Jobs are available for Recent Graduate in Mumbai?

• Assist senior analysts in data collection, cleaning, and preparation for analysis.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and maintenance of dashboards and reports using visualization tools.
• Contribute to the creation of presentations summarizing findings for stakeholders.
• Learn and apply statistical methods and data modeling techniques.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical tasks.
• Maintain data integrity and accuracy throughout all analytical processes.
• Participate in team meetings and contribute ideas for process improvement.
• Develop an understanding of business operations and how data impacts decision-making.
• Adhere to company policies and best practices in data management and security.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic understanding of SQL and database concepts is advantageous.
• Excellent communication and interpersonal skills.
• Ability to work effectively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• A proactive and detail-oriented approach to tasks.

• Rotation through different data science teams: Gain exposure to various domains and project types.
• Mentorship: Receive guidance and support from senior data scientists and industry experts.
• Hands-on Experience: Work on impactful projects that contribute directly to business outcomes.
• Training and Development: Access to workshops, online courses, and resources to enhance your technical and soft skills.
• Networking Opportunities: Connect with peers, mentors, and leadership across the company.
• Career Path: Clear progression opportunities within the data science function.

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop and implement statistical models and machine learning algorithms under guidance.
• Create data visualizations and reports to communicate findings effectively.
• Collaborate with engineering and business teams to understand data needs and project requirements.
• Participate in code reviews and contribute to the team's codebase.
• Learn and apply new data science techniques and tools.
• Assist in the evaluation and validation of model performance.
• Contribute to data-driven decision-making processes.
• Document methodologies and results clearly.
• Support the deployment of data models into production environments.
• Stay updated with the latest developments in data science and AI.
• Help in identifying areas for data improvement and optimization.
• Participate in team meetings and brainstorming sessions.
• Adhere to data privacy and security protocols.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• Strong foundational knowledge of statistics, probability, and calculus.
• Familiarity with programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Basic understanding of machine learning concepts and algorithms.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation abilities.
• Eagerness to learn and adapt in a fast-paced environment.
• Ability to work effectively both independently and as part of a remote team.
• A proactive attitude and a passion for data.
• Previous internship or project experience in data analysis is a plus.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic data analysis to identify trends, patterns, and insights.
• Create clear and concise data visualizations (charts, graphs, dashboards) to communicate findings.
• Support senior analysts in developing reports and presentations for stakeholders.
• Learn and apply various data analysis techniques and tools.
• Participate in team meetings and contribute to project discussions.
• Adhere to data governance and quality standards.
• Assist in troubleshooting data-related issues.
• Contribute to documentation of data processes and methodologies.
• Develop a foundational understanding of business operations and how data supports decision-making.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of data analysis concepts and statistical methods.
• Familiarity with at least one programming language relevant to data analysis (e.g., Python, R) is a plus.
• Proficiency in Microsoft Excel is required.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt in a fast-paced environment.
• Detail-oriented with a strong commitment to accuracy.
• Previous internship experience in a data-related role is advantageous but not essential.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preprocessing to ensure accuracy and consistency.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Develop basic reports and visualizations to communicate findings to the team.
• Support senior analysts in developing predictive models and statistical analyses.
• Learn and apply various data analysis tools and techniques, including SQL, Python, R, and Excel.
• Collaborate with cross-functional teams to understand data needs and deliver relevant insights.
• Participate in team meetings, brainstorming sessions, and training workshops.
• Contribute to the documentation of data processes and analytical methodologies.
• Adhere to data privacy and security policies.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with at least one programming language such as Python or R is a plus.
• Knowledge of SQL for data retrieval is advantageous.
• Excellent communication and teamwork skills.
• Eagerness to learn and a proactive approach to acquiring new skills.
• Ability to work independently and manage time effectively in a remote setting.
• Passion for data and its potential to drive business value.
• This program is ideal for individuals residing in or around Mumbai, Maharashtra, IN , but is fully remote and open to candidates across India.

• Assist senior analysts in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Generate reports and visualizations using tools like Excel, SQL, and data visualization software (e.g., Tableau, Power BI).
• Support the development and implementation of data models and analytics dashboards.
• Collaborate with cross-functional teams to understand their data needs and provide insights.
• Learn and apply statistical techniques and methodologies.
• Contribute to data quality assurance and integrity checks.
• Participate in team meetings and present findings.
• Gain hands-on experience with various data analysis tools and technologies.
• Undergo structured training modules covering data analytics concepts, tools, and best practices.
• Develop problem-solving skills through assigned analytical projects.
• Receive ongoing feedback and performance reviews to foster professional growth.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong analytical and critical thinking skills.
• Basic understanding of statistical concepts.
• Familiarity with at least one programming language (e.g., Python, R) is a plus.
• Proficiency in Microsoft Excel.
• Eagerness to learn and a passion for data.
• Excellent communication and interpersonal skills, comfortable working in a remote team setting.
• Ability to work independently and manage time effectively.
• Proactive and a team player with a positive attitude.
• Must have access to a stable internet connection and a suitable remote work environment.

• Assist in gathering and documenting business requirements from stakeholders.
• Support the creation of functional specifications and user stories.
• Conduct data analysis to identify trends and insights.
• Help in the creation of process flow diagrams and use case documentation.
• Participate in testing phases and document test results.
• Collaborate with development teams to clarify requirements.
• Prepare reports and presentations on project progress and findings.
• Learn and apply business analysis methodologies and tools.
• Contribute to the continuous improvement of business processes.

• Recent graduate with a Bachelor's degree in Business Administration, Management, Economics, Computer Science, or a related field.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities, vital for remote collaboration.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Eagerness to learn and a proactive attitude.
• Ability to work independently and manage tasks efficiently in a remote setting.
• Basic understanding of business processes and project management concepts is a plus.

PS: Please only apply if you are suitable for this role else you may be disqualified for all other roles at Axience. If you are not suitable for this role but would like to apply for other roles then please check our various opportunities on linked or website or email us at

Graduate and Post Graduate Development Program

About Axience

• Axience is a professional business services firm, established with a credo of delivering “Integrated Bespoke Solutions” for our clients. Our vision is to "Impact our clients, colleagues and community with innovation, insight and empathy
• We provide high quality bespoke and boutique-style financial and business research services and have established ourselves as a well-regarded research firm with a strong clientele, board and management team
• Our main offices are located in Mumbai (India) with extended sales and execution capabilities in UAE, Canada and we plan to ramp up our teams in these places and farther
• We seek to hire and develop talent which is our industries best in quality, efficiency, ambition and enthusiasm

Position

Graduate and Post Graduate Development Program at Axience is a 36 months, fast-track program for high-potential early-career talent. You’ll gain multi-function exposure across the firm as part of this Future Leadership Development Program.

• Duration: 36 months (performance gates at months 6/12/18/24/30/36)
• Rotations/ Roles: Formal or informal rotation in multiple business units as described below

Development & support

• Onboarding bootcamps and intense on-the-job training
• Rotation / shared role charters with clear learning objectives and an executive sponsor
• Leadership pathway enablement: people-lead responsibilities and P&L exposure early on in their careers
• Fast tracked learning for top-tier talent and global travel / exposure
• Significant / Material bonus at the end of program to aid learning or assist in education loan payments

Central and Business Development:

Axience Central and Business Development team directly reports into Senior Management and work on various activities related to strategy and growth, process improvement, pre-sales, business development and innovation.

Financial Research:

Axience supports investors in private and public markets across their functions and lifecycle from investor relation and capital formation to investment and portfolio management and finance and accounting. Private markets clients include institutional investors, private markets funds, asset and wealth managers as well as alternative credit investors.

We also support investment banks and advisors across M&A, ECM, DCM and Sales/Trading and Research and provide client centricity and competition benchmarking services.

Research and Consulting:

Axience partners with large and mid-size corporates across industries and geographies. We work directly with CXO offices and Chiefs of Staff, Corporate Development & Strategy, Commercial / Sales / Marketing functions.

Our teams work on strategic and tactical business / market / competitive insights and intelligence, sector, economics, innovation and regulatory research, analysis and other support. We offer our services through mix of ongoing analyst support and custom engagements.

Business Management:

Centralized teams to enable our delivery and strategy function including business and executive assistants, HR, branding and marketing and other central functions

Background Requirement

·   Proven aptitude through standardized tests such as GMAT, GRE and others

·   Top tier education and academic performance

·   Highly entrepreneurial, no-nonsense, non-bureaucratic, and inquisitive mindset

·   Sharp structuring, analysis, and business writing/storytelling.

·   High ownership, bias to action, and the ability to inspire others.

·   Excellent stakeholder management and follow-through under pressure

Job Location

·   Mumbai

Contact

If you have the qualification, experience, and passion for the role mentioned above then please apply with a detailed custom cover letter on linkedin (LINK) or at While sending application please clearly mention the subject as: “Name: Location: Job-title” for example: “Donald Modi: Kolkata: Pre-MBA Associate” where Location is your current location.

• Intensive training in business analysis methodologies, tools, and techniques.
• Exposure to various business domains including finance, operations, marketing, and technology.
• Opportunities to participate in real-world projects, from requirements gathering to solution implementation.
• Mentorship from experienced business leaders and analysts.
• Development of critical skills in communication, problem-solving, data analysis, and stakeholder management.
• Understanding of project lifecycle and agile/waterfall methodologies.
• Networking opportunities within a large, diverse organization.
• A structured path for career advancement based on performance and demonstrated potential.

• Recent graduate with a Bachelor's or Master's degree in Business Administration, Economics, Finance, Information Systems, or a related field.
• Strong academic record with a keen interest in understanding business processes and driving improvements.
• Excellent analytical and critical thinking abilities.
• Exceptional interpersonal and communication skills, both written and verbal.
• Proactive attitude, eagerness to learn, and a strong work ethic.
• Ability to work effectively both independently and as part of a team.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Familiarity with data analysis tools or basic SQL is a plus but not required.
• Willingness to commit to a structured learning and development program.