Key Responsibilities

1.

Business Problem

Solving &

- Analytics

- Partner closely with cross-functional teams across Business, Product, Technology, Operations, Risk, and other functions to identify and define high-impact business problems.

- Translate ambiguous business requirements into structured analytical problem statements and actionable hypotheses.

- Independently identify relevant data sources, define analytical logic, and build robust solutions.

- Generate actionable insights that influence business strategy and decision-making.

2. Data &

- Technical Expertise

- Work extensively with large and complex datasets to extract, process, and analyse information.

- Build efficient and scalable data solutions using

SQL and Python

.

- Develop advanced analytical models, automation frameworks, and reusable datasets.

- Ensure accuracy, robustness, and scalability of analytical solutions.

3. Dashboarding &

- Data Storytelling

- Build intuitive and insightful dashboards using

Tableau or similar visualization tools.

- Go beyond reporting by identifying the underlying business drivers and translating data into actionable insights.

- Develop self-service analytical solutions that enable stakeholders to independently access relevant information.

4. AI &

- Advanced Analytics

- Identify opportunities to leverage

AI and Generative AI to improve analytical workflows, business decision-making, and operational efficiency.

- Build and experiment with AI-enabled solutions, including applications leveraging LLMs, automation, and intelligent decision systems.





- Drive the adoption of AI within analytics to reduce manual effort and improve the speed and quality of insights.

- Stay updated with emerging AI technologies and translate relevant capabilities into practical business use cases.

5. Cross-functional Collaboration

- Work directly with senior stakeholders to understand business challenges and independently drive analytical initiatives.

- Collaborate with Data Engineering, Technology, Product, and Business teams to ensure the availability and usability of relevant data.

- Act as a bridge between business and technical teams by converting business problems into clear analytical requirements.

6. Ownership &

- Execution

- Take complete ownership of analytical initiatives from problem definition to implementation and impact measurement.

- Proactively identify opportunities and problems rather than waiting for detailed instructions.

- Operate effectively in an ambiguous and rapid-paced environment.

- Challenge existing approaches and continuously look for opportunities to improve processes, tools, and decision-making.

What We Are Looking For The ideal candidate is:

- High on ownership

, taking responsibility for outcomes rather than just completing assigned tasks.

- Hands-on technically

, with the ability to independently work with SQL, Python, Tableau, and large datasets.

- AI-native

, with practical experience experimenting with and building AI-enabled solutions.

- Business-oriented

, with the ability to engage confidently with senior stakeholders and influence decisions.

- Collaborative

, with a strong ability to work across functions and bring different teams together to solve problems.

- Experience in fintech is preferable.

📌 Data Analyst (Gurugram)
🏢 Airtel
📍 Gurugram