Job Summary

Job Type: Permanent

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

- Bachelors or Masters degree in Analytics, Statistics, Economics, Mathematics, Computer Science, Engineering, Business or a related discipline, or equivalent practical experience.

- Approximately 35 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.

- Robust 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.

📌 Analyst - Advanced Analytics (Gurugram)
🏢 FIL India Business and Research Services Private
📍 Gurugram