Job Description

Key Responsibilities

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1. Business Problem Solving & Analytics

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- Partner closely with cross-functional teams across Business, Product, Technology, Operations, Risk, and other functions to identify and define high-impact business problems.
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- Translate ambiguous business requirements into structured analytical problem statements and actionable hypotheses.
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- Independently identify relevant data sources, define analytical logic, and build robust solutions.
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- Generate actionable insights that influence business strategy and decision-making.
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2. Data & Technical Expertise

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- Work extensively with large and complex datasets to extract, process, and analyse information.
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- Build efficient and scalable data solutions using SQL and Python.
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- Develop advanced analytical models, automation frameworks, and reusable datasets.
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- Ensure accuracy, robustness, and scalability of analytical solutions.
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3. Dashboarding & Data Storytelling

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- Build intuitive and insightful dashboards using Tableau or similar visualization tools.
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- Go beyond reporting by identifying the underlying business drivers and translating data into actionable insights.
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- Develop self-service analytical solutions that enable stakeholders to independently access relevant information.
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4. AI & Advanced Analytics

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- Identify opportunities to leverage AI and Generative AI to improve analytical workflows, business decision-making, and operational efficiency.
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- Build and experiment with AI-enabled solutions, including applications leveraging LLMs, automation, and intelligent decision systems.
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- Drive the adoption of AI within analytics to reduce manual effort and improve the speed and quality of insights.
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- Stay updated with emerging AI technologies and translate relevant capabilities into practical business use cases.
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5. Cross-functional Collaboration

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- Work directly with senior stakeholders to understand business challenges and independently drive analytical initiatives.
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- Collaborate with Data Engineering, Technology, Product, and Business teams to ensure the availability and usability of relevant data.
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- Act as a bridge between business and technical teams by converting business problems into clear analytical requirements.
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6. Ownership & Execution

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- Take complete ownership of analytical initiatives from problem definition to implementation and impact measurement.
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- Proactively identify opportunities and problems rather than waiting for detailed instructions.
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- Operate effectively in an ambiguous and quick-paced environment.
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- Challenge existing approaches and continuously look for opportunities to improve processes, tools, and decision-making.
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What We Are Looking For

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The ideal candidate is:

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- High on ownership, taking responsibility for outcomes rather than just completing assigned tasks.
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- Hands-on technically, with the ability to independently work with SQL, Python, Tableau, and large datasets.
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- AI-native, with practical experience experimenting with and building AI-enabled solutions.
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- Business-oriented, with the ability to engage confidently with senior stakeholders and influence decisions.
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- Collaborative, with a strong ability to work across functions and bring different teams together to solve problems.
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- Experience in fintech is preferable.
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📌 Data Analyst (Gurugram)
🏢 Airtel
📍 Gurugram