Customer Data Analyst

[Shaheen Syed]

Key Responsibilities Stakeholder Engagement & Requirements Gathering Lead workshops and stakeholder interviews to understand current‑state and future‑state requirements for a unified customer view. Collaborate closely with business teams to document functional, data, and reporting requirements. Translate ambiguous business needs into clear functional and technical specifications. Functional Design & Data Modeling Define and design conceptual and logical customer data models. Identify and document: Core customer entities Attributes Relationships Hierarchies Ensure data models align with business objectives and downstream use cases. Source System Analysis & Data Mapping Analyze and document data flowing from multiple source systems, including: Point‑of‑Sale (POS) E‑commerce platforms Loyalty programs Marketing Cloud ERP systems Customer Service platforms Create detailed source‑to‑target mapping specifications for ETL/ELT development teams. Validate mappings through data profiling and reconciliation. Use Case Enablement Partner with business stakeholders to define how Customer 360 data enables key retail use cases, such as: Campaign segmentation Personalization Churn prediction Customer Lifetime Value (CLV) calculations Ensure data availability and structure support analytical and activation needs. Solution Validation & UAT Act as the functional subject‑matter expert during testing and UAT phases. Validate that solutions meet: Documented business requirements Data quality expectations Functional acceptance criteria Support defect resolution and reconfirm fixes. Documentation & Knowledge Transfer Create and maintain comprehensive functional documentation, including: Data dictionaries Process flows Business rule definitions Support client knowledge transfer, adoption, and long‑term data governance. Required Skills & Qualifications Core Experience 5–7 years of experience delivering large‑scale data or analytics programs. Mandatory SAP IS‑Retail experience. Deep hands‑on experience in the retail industry, including understanding of: Householding Loyalty tiers Promotional activity Cross‑channel customer behavior Customer Data & MDM Expertise Strong experience with Customer 360 / Master Data Management (MDM) concepts. Experience working with customer identity, matching, and enrichment logic. Data Analysis & Technical Skills Strong proficiency in SQL for: Data profiling Source‑to‑target validation Ad‑hoc analysis Comfortable working directly with data to validate business logic and assumptions. Communication & Consulting Skills Exceptional ability to communicate complex data concepts to non‑technical stakeholders. Proven ability to work in client‑facing consulting environments. Strong documentation, facilitation, and presentation skills. Preferred Qualifications (Nice to Have) Hands‑on experience with Customer Data Platforms (CDP) such as: Segment mParticle Adobe AEP Experience working in multi‑cloud environments, including: GCP Azure AWS Familiarity with modern data stack technologies such as: Databricks Snowflake Prior consulting experience in a client‑facing role.

[vinod kumar]

Madireddy

vinodmad...@gmail.com

470-983-2491

USC

www.linkedin.com/in/madi-reddy-2313393ab

Bachelor’s in computer science from Jawaharlal Nehru Technological University, Hyderabad - 2007

Stone Mountain-GA

On Tue, May 5, 2026 at 12:54 AM Shaheen Syed <shaheen...@gmail.com> wrote:

Key Responsibilities Stakeholder Engagement & Requirements Gathering Lead workshops and stakeholder interviews to understand current‑state and future‑state requirements for a unified customer view. Collaborate closely with business teams to document functional, data, and reporting requirements. Translate ambiguous business needs into clear functional and technical specifications. Functional Design & Data Modeling Define and design conceptual and logical customer data models. Identify and document: Core customer entities Attributes Relationships Hierarchies Ensure data models align with business objectives and downstream use cases. Source System Analysis & Data Mapping Analyze and document data flowing from multiple source systems, including: Point‑of‑Sale (POS) E‑commerce platforms Loyalty programs Marketing Cloud ERP systems Customer Service platforms Create detailed source‑to‑target mapping specifications for ETL/ELT development teams. Validate mappings through data profiling and reconciliation. Use Case Enablement Partner with business stakeholders to define how Customer 360 data enables key retail use cases, such as: Campaign segmentation Personalization Churn prediction Customer Lifetime Value (CLV) calculations Ensure data availability and structure support analytical and activation needs. Solution Validation & UAT Act as the functional subject‑matter expert during testing and UAT phases. Validate that solutions meet: Documented business requirements Data quality expectations Functional acceptance criteria Support defect resolution and reconfirm fixes. Documentation & Knowledge Transfer Create and maintain comprehensive functional documentation, including: Data dictionaries Process flows Business rule definitions Support client knowledge transfer, adoption, and long‑term data governance. Required Skills & Qualifications Core Experience 5–7 years of experience delivering large‑scale data or analytics programs. Mandatory SAP IS‑Retail experience. Deep hands‑on experience in the retail industry, including understanding of: Householding Loyalty tiers Promotional activity Cross‑channel customer behavior Customer Data & MDM Expertise Strong experience with Customer 360 / Master Data Management (MDM) concepts. Experience working with customer identity, matching, and enrichment logic. Data Analysis & Technical Skills Strong proficiency in SQL for: Data profiling Source‑to‑target validation Ad‑hoc analysis Comfortable working directly with data to validate business logic and assumptions. Communication & Consulting Skills Exceptional ability to communicate complex data concepts to non‑technical stakeholders. Proven ability to work in client‑facing consulting environments. Strong documentation, facilitation, and presentation skills. Preferred Qualifications (Nice to Have) Hands‑on experience with Customer Data Platforms (CDP) such as: Segment mParticle Adobe AEP Experience working in multi‑cloud environments, including: GCP Azure AWS Familiarity with modern data stack technologies such as: Databricks Snowflake Prior consulting experience in a client‑facing role.

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