Job Description

Senior Data Analyst – AI&ML

We are looking for a highly skilled data-focused engineer/analyst with strong expertise in SQL, Power BI, and Python, complemented by practical AI/ML and GenAI experience
This role sits at the intersection of analytics, data engineering, and AI, focusing on building data-driven products, advanced analytics, and intelligent solutions across key business domains such as fraud, pricing, customer behavior, and operational analytics

What You’ll Do
Data Analytics & BI (Core Focus)
Analyze large and complex datasets to generate actionable business insights
Design and develop interactive dashboards and reports in Power BI
Build robust data models, measures (DAX), and KPI frameworks
Ensure data accuracy, consistency, and performance optimization in reporting
Translate business requirements into scalable analytics solutions
SQL & Data Engineering
Write and optimize complex SQL queries across large datasets
Work with structured and semi-structured data across data platforms (e.g., Snowflake, AWS, Azure)
Build and maintain data pipelines and transformations (ETL/ELT)
Ensure data quality, lineage, and governance across datasets
AI / ML & GenAI Application Development
Develop basic ML models and predictive analytics solutions (classification, regression, etc.)
Build lightweight AI/ML use cases to enhance analytics (e.g., forecasting, anomaly detection)
Leverage GenAI tools (LLMs, APIs) to develop internal applications, automation, or insight generation tools
Integrate AI capabilities into dashboards, workflows, and data products
Python Development
Use Python for data processing, automation, and model development
Work with libraries such as Pandas, NumPy, Scikit-learn, etc.
Build scripts and lightweight services to support analytics and AI use cases
Collaboration & Delivery
Collaborate with product, engineering, and business teams to deliver end-to-end solutions
Translate business problems into data and AI-driven approaches
Communicate insights effectively to both technical and non-technical stakeholders

What We’re Looking For
Required Skills
Strong experience in SQL (complex queries, optimization, large datasets)
Strong hands-on experience with Power BI (data modeling, DAX, visualization)
Solid understanding of data analysis, data structures, and data platforms
Proficiency in Python for data analysis and automation
Practical understanding of machine learning concepts
Experience working with end-to-end data pipelines and transformations
Strong analytical thinking and problem-solving skills

Nice to Have
Experience building or integrating GenAI applications (LLMs, APIs, Copilot, etc.)
Exposure to Snowflake, AWS, Azure, or similar data platforms
Experience with unstructured data (text, transcripts, documents)
Familiarity with model deployment, monitoring, and performance optimization
Knowledge of data governance, semantic models, and BI frameworks

Why This Role Matters
This role will play a critical part in evolving our analytics function from descriptive reporting to intelligent, AI-driven decision-making
You will help:
Build scalable analytics and BI solutions for business teams
Introduce AI/ML and GenAI capabilities into real-world use cases
Enable data-driven automation and insights across key business workflows