Job Opportunities API

This role is for one of the Weekday's clients Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA) Experience: 3+ yrs Location: Mumbai, Maharashtra, India Job Type: Full-Time We are looking for a detail-oriented and analytical  Data Analyst  with expertise in  Neo4j, Graph RAG, and Data Governance  to support the design, analysis, and optimization of enterprise data solutions. The ideal candidate will play a key role in transforming complex datasets into meaningful insights while contributing to the development of graph-based data models and governance frameworks that improve data accessibility, quality, and decision-making. In this role, you will collaborate with business stakeholders, data engineers, architects, and analytics teams to understand business requirements, manage data assets, and build scalable graph-based data solutions. You will be responsible for analyzing structured and unstructured data, maintaining data integrity, implementing governance best practices, and enabling advanced analytics using graph databases and Retrieval-Augmented Generation (RAG) approaches. This is an excellent opportunity for professionals passionate about modern data platforms, knowledge graphs, and enterprise data management. Requirements Key Responsibilities Analyze, interpret, and validate large datasets to generate actionable business insights and support strategic decision-making. Design, develop, and maintain graph-based data models using  Neo4j  to represent complex relationships across enterprise data. Support the implementation and optimization of  Graph RAG  solutions for intelligent data retrieval and contextual search capabilities. Collaborate with business and technical teams to gather data requirements and translate them into scalable analytical solutions. Ensure high standards of  data governance , including data quality, metadata management, lineage, consistency, and compliance. Develop dashboards, reports, and visualizations to communicate insights effectively to technical and business stakeholders. Perform data profiling, cleansing, validation, and transformation to ensure reliable and accurate datasets. Monitor data quality metrics and recommend improvements to enhance data reliability and usability. Work closely with data engineering teams to optimize data pipelines, graph structures, and query performance. Create and maintain documentation for data models, governance standards, business definitions, and analytical processes. Support enterprise initiatives involving knowledge graphs, semantic search, and AI-driven data discovery. Stay updated on emerging technologies and best practices related to graph databases, data governance, and advanced analytics. What Makes You a Great Fit 3+ years of experience in  Data Analysis , Business Intelligence, or Enterprise Data Management. Strong hands-on experience with  Neo4j  and graph database concepts, including graph modeling and Cypher queries. Good understanding of  Graph RAG , knowledge graphs, semantic search, and AI-powered data retrieval techniques. Solid knowledge of  Data Governance  principles, including data quality, metadata management, data lineage, and governance frameworks. Proficiency in SQL and experience working with relational and non-relational databases. Experience with data visualization and reporting tools to present insights clearly and effectively. Strong analytical, problem-solving, and critical-thinking skills with the ability to interpret complex datasets. Excellent communication and stakeholder management skills with the ability to collaborate across technical and business teams. Familiarity with cloud-based data platforms, ETL processes, and modern data architectures is an advantage. Understanding of AI, machine learning, or enterprise analytics ecosystems is a plus. Self-driven, detail-oriented, and eager to contribute to inno