Job Description :
Job Summary :
We are looking for a highly skilled techno-functional professional with strong expertise in SQL, Python, and AI/Advanced Analytics to design, build, and scale data-driven insights for business stakeholders. The role requires strong business acumen, SQL expertise, and the ability to design sustainable, scalable solutions using modern AI-assisted development approaches.
This individual will play a critical role in translating business needs into automated workflows, data solutions, and AI-driven outputs that enhance operational efficiency and decision-making.
Job Requirements :
Business &
- Functional Partnership :
- Partner with business stakeholders to understand requirements, challenges, and operational workflows.
- Translate business needs into clear functional and technical specifications (BRDs, use cases, process flows).
- Provide consultative guidance on automation opportunities and scalable solution design.
AI-Driven Solution Design (Prompt Engineering &
- Automation) :
- Leverage AI tools (e.g., Copilot, AI agents) to design and optimise code, workflows, and data solutions.
- Develop structured, high-quality prompts to generate accurate outputs (SQL queries, scripts, automation logic, insights).
- Continuously review and refine AI-generated outputs for performance, accuracy, and reusability.
- Build and operationalise AI-driven automation workflows aligned with business needs.
Python &
- Advanced Analytics :
- Use Python for data preparation, automation, and advanced analytics.
- Perform exploratory data analysis (EDA), feature engineering, and data transformations.
- Develop reusable Python scripts/notebooks for analytics workflows.
- Integrate Python outputs into Power BI and reporting layers.
Agentic AI &
- Copilot-Based Development :
- Design and develop no-code/low-code AI agents using platforms such as Microsoft Copilot Studio, Power Platform, and other enterprise AI tools.
- Build multi-step, task-oriented agents capable of :
- Answering business queries
- Triggering workflows
- Analysing structured data (SQL / BI datasets)
- Integrating with enterprise systems
- Configure intent-based and goal-driven agents without traditional ML coding.
Stakeholder Engagement &
- Ownership :
- Collaborate with business leaders to deliver data-driven solutions.
- Own end-to-end solution lifecycle : requirement gathering, development, deployment, and adoption.
- Document solutions, data definitions, and business logic clearly.
Must-Have :
- Power BI : Strong expertise in DAX, data modelling, and performance tuning.
- SQL : Advanced proficiency across analytical and transactional databases.
- Python : Hands-on experience in data analysis, automation, and ML workflows.
- Data Modelling : Strong knowledge of star schema, KPIs, and dimensional modelling.
- AI/ML Fundamentals : Understanding of regression, classification, forecasting, and model evaluation.
- Strong business acumen with the ability to translate data into actionable insights.
Nice-to-Have :
- Experience with cloud data platforms (Snowflake, Azure Synapse, BigQuery, Redshift).
- Familiarity with Power Automate, Microsoft Fabric, or Azure AI services.
- Experience building self-service analytics platforms.
- Knowledge of data governance, security, and role-based access.
- Exposure to Copilot, chatbots, or conversational analytics.
Education :
- Bachelors or Masters degree in Computer Science, Engineering, Statistics, Data Science, or related field.
- Typically requires a minimum of 7 - 13 years of related experience. Flexible based on proficiency.
- Shift Timings will be : 2 : 00 PM to 11 : 00 PM (IST).
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