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hirist

Eucloid - Data Consultant

hirist.tech
Gurgaon/Gurugram
2 - 5 Years

Posted on: 21/01/2026

Job Description

Note : If shortlisted, you will be invited for initial rounds on 7th February 2026 (Saturday) in Gurugram


What You'll Do :


- Work on Customer Data Platform (CDP) implementations or enhancements


- Ingest, transform, and manage customer data from multiple sources such as web, mobile, CRM, marketing tools, and transactional systems


- Support customer identity resolution, profile unification, and audience segmentation


- Enable marketing and customer analytics use cases including segmentation, cross-channel

marketing, customer journeys, funnel analysis, and personalization


- Collaborate with marketing, product, analytics, and engineering stakeholders to understand and translate data requirements


- Ensure data quality, governance, and compliance, including PII handling and consent management


- Assist in building dashboards, reports, or data exports for downstream activation platforms


- Contribute to documentation and best practices related to CDP and analytics workflows.


What Makes You a Fit :


Academic Background :


- Undergraduate degree in Engineering, Science, Economics, or a related quantitative discipline


Technical Expertise :

- 2 - 5 years of experience in data analytics, marketing analytics, customer analytics, or a client facing role


- Experience working with Customer Data Platforms (CDPs), such as Adobe Real- Time CDP, Segment, mParticle, Tealium, Salesforce CDP, or similar tools

- Strong understanding of customer data concepts including events, profiles, identities, attributes, and audiences


- Experience in marketing analytics, segmentation, and cross-channel marketing use cases


- SQL knowledge is a plus; candidates with strong CDP and marketing experience will be

considered even with limited SQL exposure


Extra Skills :


- Strong problem-solving and analytical skills


- Good communication and stakeholder management capabilities


- Ability to work in fast-paced and ambiguous environments


- Understanding of end-to-end data flows across system

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