Analyst - Advanced Analytics

Fidelity International; Gurugram District; Hybrid; INR 1,500,000 - 2,800,000; Full time

Job summary

Fidelity International is seeking a Senior Analytics professional to translate business questions into analytical strategies, build data stories and dashboards, and help measure business value through advanced analytics. The role requires collaboration across analytics, data science, engineering and business teams.

With 3–5 years of analytics experience and strong SQL, Python/R and Power BI skills, you will work in a flexible hybrid setting to drive data-driven decision making across the

Qualifications

• Bachelor’s or Master’s degree in Analytics, Statistics, Economics, Mathematics, Computer Science, Engineering, Business or related discipline, or equivalent practical experience.
• Approx. 3–5 years of experience in analytics, data science or related role.
• Strong SQL skills and experience with relational or cloud data platforms.
• Proficiency in Python or R for data analysis, statistics or ML.
• Experience developing dashboards or visualisations using Power BI, Tableau or equivalent.
• Ability to communicate analytical findings clearly to technical and non‑technical audiences.
• Experience working with stakeholders and cross‑functional teams.
• Understanding of data quality, analytical controls and documentation requirements.

Responsibilities

• Translate business questions into hypotheses and analytical approaches; analyse data to identify trends, opportunities, risks and drivers.
• Create data stories, visualisations and presentations for senior stakeholders; support measurement of outcomes and value.
• Conduct exploratory analysis; apply statistical techniques; contribute to segmentation, forecasting and hypothesis testing.
• Develop, test and validate models using Python or similar tools; assist in model operationalisation and monitoring.
• Define analytical requirements, KPIs, rules and logic for dashboards; collaborate with Power BI developers.
• Participate in Agile delivery; communicate progress, dependencies and risks; contribute to reusable analytical methods.

Skills

SQL

Python/R

Power BI/Tableau

Data storytelling

Analytical problem-solving

Agile delivery

Education

Bachelor’s/Master’s in Analytics/Statistics/Economics/Math/CS/Engineering/Business

Tools

Snowflake

AWS

SageMaker

Power BI

DAX

Jira

Git

LangChain

LangGraph

MLOps

Job description

About the Opportunity

Job Type: Permanent

Application Deadline: 18 September 2026

Key Responsibilities

Business Insights and Decision Support

Translate business questions into clear hypotheses and analytical approaches. Analyse customer, commercial and operational data to identify trends, opportunities, risks and performance drivers. Explain what happened, why it happened and what actions should be considered. Create clear data stories, visualisations and presentations for business and senior stakeholders. Support the measurement of business outcomes and value generated by analytics.

Advanced Analytics & Data Science

Conduct exploratory analysis and apply appropriate statistical techniques. Contribute to segmentation, forecasting, propensity modelling, behavioural analysis and hypothesis testing. Develop, test and validate statistical and machine‑learning models using Python or equivalent tools. Evaluate models using appropriate performance, interpretability and business‑value measures. Work with engineering and technology teams to support model operationalisation and monitoring. Document methodologies, assumptions, limitations and findings.

Analytics Products, Visualisation and Automation

Define analytical requirements, KPIs, business rules and calculation logic for dashboards and analytical products. Partner with Power BI developers to translate analytical requirements into effective reporting and visualisation solutions. Review and validate dashboard outputs to ensure analytical accuracy and alignment with business objectives. Support user acceptance testing and interpretation of analytical outputs. Automate recurring analysis and manual processes to improve efficiency and scalability. Maintain documentation covering analytical logic, data sources and assumptions.

Collaboration and Delivery

Work collaboratively across analytics, data science, engineering, visualisation and business teams. Participate in Agile delivery processes, including sprint planning, demonstrations and retrospectives. Communicate progress, dependencies, analytical limitations and delivery risks clearly. Contribute to reusable analytical methods, coding standards and team best practices.

Experience & Qualifications required

Bachelor’s or Master’s degree in Analytics, Statistics, Economics, Mathematics, Computer Science, Engineering, Business or a related discipline, or equivalent practical experience. Approximately 3–5 years of experience in analytics, data science, customer analytics or a related analytical role. Hands‑on experience analysing large or complex datasets and translating analysis into business insights. Strong SQL skills and experience working with relational or cloud‑based data platforms. Proficiency in Python or R for data analysis, statistical analysis or machine learning. Working knowledge of statistical concepts and machine‑learning techniques, including model development and evaluation. Experience developing dashboards or analytical visualisations using Power BI, Tableau or an equivalent platform. Ability to communicate analytical findings clearly to both technical and non-technical audiences. Strong problem‑solving skills and the ability to select an appropriate analytical approach for a business question. Experience working collaboratively with business stakeholders and cross‑functional delivery teams. Understanding of data quality, analytical controls and documentation requirements.

Desirable Experience and Skills

• Experience in Sales, Marketing, Product, Customer or Operational Analytics.
• Experience in financial services or another regulated industry.
• Experience with Snowflake, AWS or SageMaker.
• Knowledge of Power BI data modelling and DAX.
• Experience with Agile delivery and Jira.
• Familiarity with Git or another version‑control tool.
• Exposure to Generative AI, large language models or agentic workflows.
• Familiarity with LangChain, LangGraph or MLOps concepts.

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.