# Data Analyst

> Weekday AI · Mumbai, India · Full-time · Posted 2026-07-16

**Salary:** INR 1,000,000–2,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**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 innovative, data-driven business initiatives in a collaborative environment.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/389B3F49DE/apply)

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