FIL

Analyst - Analytics

Gurgaon Office Full time

About the Opportunity

Job Type: Permanent

Application Deadline: 24 January 2026

Job Description

                                                                       

Title            Analyst - Analytics

Department    Analytics

Location          Gurgaon

Level               3

 

We are proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Analytics team and feel like you are part of something bigger.

 

About our team

 

Fidelity's Analytics function in India supports the company's global Sales, Marketing, Risk, Finance, Customer Service, and HR teams. The function's main objectives include developing a deep understanding of customers, identifying sales growth opportunities, refining products and services, and developing market and competitive intelligence. The Analytics function works closely with business heads and senior stakeholders to identify areas of analytics, define problem statements, and develop key insights.

 

About the role

Are you good at solving problems or do you know someone who is? Do you have a passion for data and analytics? Do you want to work on projects that have a positive impact on society? If you answered yes to any of these questions, then we have an exciting opportunity for you.

 

We are looking for an Analyst to join our team and help us with the following tasks:

 

•       Analysis and Business Impact: You will use various data sources and methods to examine, interpret, and present patterns, trends, and insights that pertain to clients and stakeholders. Creating and maintaining interactive dashboards and reports that showcase our data analysis and model in a clear and compelling way

 

•       Data Quality and Engineering: You will ensure the accuracy, consistency, and reliability of data sources by implementing robust data validation and governance practices. Collaborating with cross-functional teams, you will help establish standards and monitor data integrity across projects.

 

•       Collaboration and innovation: You will partner with business stakeholders to define requirements, brainstorm analytical approaches, and deliver actionable insights. Your curiosity and creativity will contribute to developing new methodologies and best practices within the Analytics function.

 

About you

 

Experience & Qualifications required:

 

  • Bachelor's degree or above in statistics, mathematics, computer science, engineering, economics, or related field

  • Minimum 2 years' experience in data analysis or data science

  • Skilled in Python, SQL, or other programming languages for data work

  • Experience employing various statistical modelling and data analysis techniques, such as linear / logistic regression, decision trees, affinity analysis, clustering/segmentation and time series forecasting 

  • Experience with data visualization tools like Tableau and Power BI

  • Enjoy building solutions and are comfortable writing codes and using tools such as KNIME, Alteryx

  • Experience in digital analytics using tools such as Adobe Analytics, Google Analytics

  • Experience in Customer journey analytics

  • Genuine interest in capital markets, financial industry, banking, future state of technology like artificial intelligence & machine learning 

 

Feel rewarded!

 

For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

 

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.