: Treasure Data CDP Analyst / Specialist

Position Summary

We are seeking a Treasure Data Customer Data Platform (CDP) Analyst / Specialist to support the implementation, operation, and optimization of our customer data ecosystem. This role will transform data from multiple sources into reliable customer profiles, actionable audience segments, and insights that improve marketing performance and customer experiences.

The ideal candidate combines robust SQL and data-analysis skills with hands-on knowledge of Treasure Data CDP, marketing technology, data integration, identity resolution, and privacy requirements. This person will collaborate with marketing, analytics, engineering, product, and compliance teams.

Key Responsibilities

- Configure, maintain, and optimize the Treasure Data CDP environment.
- Ingest and unify customer data from websites, mobile applications, CRM systems, transaction platforms, advertising channels, and other sources.
- Build and maintain master customer profiles using identity-resolution and profile-unification rules.
- Develop audience segments based on customer attributes, behavior, lifecycle stage, engagement, and predictive scores.
- Activate audiences across email, advertising, personalization, CRM, and other downstream platforms.
- Write and optimize SQL queries for data transformation, validation, segmentation, and analysis.
- Develop and maintain data workflows, scheduled jobs, connectors, and activation pipelines.
- Monitor data quality, pipeline performance, audience delivery, and platform usage.
- Investigate discrepancies, failed jobs, incomplete profiles, integration issues, and activation errors.
- Define data validation rules and perform reconciliation across source and destination systems.




- Create dashboards and reports that measure customer behavior, campaign performance, audience effectiveness, and business outcomes.
- Partner with stakeholders to translate marketing and business requirements into scalable CDP solutions.
- Maintain documentation covering data sources, field mappings, profile attributes, audience logic, workflows, and operating procedures.
- Support data governance, consent management, retention policies, access controls, and regulatory compliance.
- Train marketers and analysts on CDP capabilities, audience creation, data interpretation, and platform best practices.
- Recommend improvements to data models, processes, integrations, and activation strategies.

Required Qualifications
- Bachelors degree in data analytics, computer science, information systems, marketing analytics, or a related discipline—or equivalent practical experience.
- 3+ years of experience in customer-data, marketing-technology, business-intelligence, or data-analytics roles.
- Hands-on experience with Treasure Data CDP or a comparable enterprise CDP.
- Advanced SQL skills, including joins, aggregations, window functions, common table expressions, and query optimization.
- Experience integrating data from CRM, digital analytics, marketing automation, advertising, e-commerce, or transactional systems.
- Understanding of customer-profile unification, identity resolution, segmentation, and audience activation.




- Experience analyzing large, complex datasets and communicating findings to technical and nontechnical stakeholders.
- Knowledge of data-quality practices, including profiling, validation, reconciliation, and issue resolution.
- Understanding of APIs, structured data formats, batch processing, and cloud-based data workflows.
- Strong analytical thinking, attention to detail, documentation, and problem-solving skills.

Preferred Qualifications
- Treasure Data certification or substantial implementation experience.
- Experience with Treasure Workflow, Treasure Data SQL, Presto/Trino, Hive, or Digdag.
- Familiarity with JavaScript, Python, or another scripting language.
- Experience with BI tools such as Tableau, Power BI, Looker, or similar platforms.
- Knowledge of customer-journey analytics, attribution, campaign measurement, and experimentation.
- Experience connecting Treasure Data with platforms such as Salesforce, Adobe, Google Analytics, Braze, Iterable, Meta, or Google Ads.
- Familiarity with data warehouses and cloud platforms such as Snowflake, BigQuery, Databricks, AWS, Azure, or Google Cloud.
- Working knowledge of privacy regulations and frameworks, including GDPR, CCPA/CPRA, consent management, and personally identifiable information handling.
- Experience working in Agile or cross-functional product-delivery environments.

Key Competencies
- Customer-data and marketing-technology expertise
- SQL and analytical problem-solving
- Data modeling and identity resolution
- Audience segmentation and activation
- Data quality and governance
- Stakeholder communication
- Technical documentation
- Cross-functional collaboration
- Ownership and continuous improvement

📌 Treasure Data CDP Analyst / Specialist (Hyderabad)
🏢 Arohak Technologies
📍 Hyderabad