Z

Business Technology Solutions Associate Consultant (Knowledge Graph)

ZS Associates · Uttar Pradesh, India

~₹12L (est.)0–3 yrs experienceRemotefull_timePosted 1w ago

Job description

: **ZS** is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by **bringing together data, science, technology** and **human ingenuity** to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a **client-first mentality** to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. : **Supply Chain & Manufacturing Team at ZS** The Supply Chain & Manufacturing team at ZS is dedicated to optimizing and transforming supply chain operations for our clients across various industries. Out team offers a comprehensive range of services from stragegy and advanced analytics to planning and technology, aimed at optimizing resource deployment while maintaining high customer service levels. We are committed to driving innvotation and efficiency through cutting-edge solutions that address the complex challenges of supply chain and manufacturing operations. **Business Technology Associate Consultant** We are seeking a dedicated and detail-oriented Business Technology Associate Consultant with 3+ years of experience in data management and analysis. The successful candidate will leverage their expertise in Knowledge Graph, Neo4j or AWS Neptune or Anzo knowledge graph Database, Graph development, and cloud technologies such as AWS and Snowflake/Databricks to enhance our data quality and support Master Data Management (MDM) initiatives. You will be part of our **Supply Chain and Manufacturing team**, working closely with cross-functional teams and clients to ensure data integrity and deliver actionable insights. **What** **you’ll** **do****:** - We are looking for experienced Knowledge Graph developers who have the following set of technical skillsets and experience. - Undertake complete ownership in accomplishing activities and assigned responsibilities across all phases of project lifecycle to solve business problems across one or more client engagements. - Apply appropriate development methodologies (e.g.: agile, waterfall) and best practices (e.g.: mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of assignments. - Collaborate with other team members to leverage expertise and ensure seamless transitions; Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management. - Assist in creating project outputs such as business case development, solution vision and design, user requirements, prototypes, and technical architecture (if needed), test cases, and operations management. - Bring transparency in driving assigned tasks to completion and report accurate status. - Bring Consulting mindset in problem solving, innovation by leveraging technical and business knowledge/ expertise and collaborate across other teams. - Assist senior team members, delivery leads in project management responsibilities. - Build complex solutions using Programing languages, ETL service platform, etc. **What** **you’ll** **bring:** - Bachelor’s or master’s degree in computer science, Engineering, or a related field. - 4+ years of professional experience in Knowledge Graph development in Neo4j or AWS Neptune or Anzo knowledge graph Database. - 3+ years of experience in RDF ontologies, Data modelling & ontology development. - Strong expertise in python, pyspark, SQL. - Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. - Project management and task planning experience, ensuring smooth execution of deliverables and timelines. - Strong communication and interpersonal skills to collaborate with both technical and non-technical teams. - Experience with automation testing. - Performance Optimization: Knowledge of techniques to optimize knowledge graph operations like data inserts. - Data Modeling: Proficiency in designing effective data models within Knowledge Graph, including relationships between tables and optimizing data for reporting. - Motivation and willingness to learn new tools and technologies as per the team’s requirements. - Fluency in English. - Client-first mentality. - Intense work ethic. - Collaborative spirit and problem-solving approach. **Additional Skills:** - Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations - Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus. - Experience in manufacturing data is a plus - Capability to simplify complex concepts into easily understandable frameworks and presentations - Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects - Travel to other offices as required to collaborate with clients and internal project teams **How** **you’ll** **grow:** - Cross-functional skills development & custom learning pathways. - Milestone training programs aligned to career progression opportunities. - Internal mobility paths that empower growth via s-curves, individual contribution and role expansions. **Hybrid working model:** ZS is committed to a **Flexible and Connected** way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connect