Job Duties:
- Lead the conceptualization, requirement analysis, and business logical design of the Big Data Tag/Label Factory.
- Partner with data engineers to translate complex, massive datasets into high-value business tags, user personas, and behavioral profiles that empower downstream teams.
- Translate marketing strategies into functional specifications for marketing automation platforms.
- Define target audience segmentation mechanics and event-driven triggers to accelerate automated campaign deployment and precise customer reach.
- Analyze customer data life-cycles to uncover deep insights regarding retention, churn, and engagement.
- Partner with CRM business owners to maximize Customer Lifecycle Value (CLV) through data-driven triggers and personalized customer journeys.
- Liaise with legal, compliance, and audit teams to compile and document data definitions and key performance metrics.
- Ensure all data pipelines, lineage, and reporting dashboards comply with internal audit policies and external regulatory standards to minimize compliance risk.
- Act as the primary Data Translator across Business Units, MarTech teams, Data Engineering, and external vendors.
- Own the creation of high-quality Business Requirement Documents (BRD), User Stories, and Functional Specifications, ensuring smooth UAT (User Acceptance Testing) and high-quality end-to-end delivery.
Requirements:
- Bachelor's Degree in Information Systems, Computer Science, Data Science, Statistics, Business Administration, or a related quantitative discipline.
- At least 10-15 years of solid experience as a Business Analyst, Data Analyst, or Product Owner in data-heavy environments.
- Proven track record in launching enterprise-level data products, Big Data tag architectures, CRM systems, or marketing automation tools.
- Prior experience in Banking, Financial Services, FinTech, or E-commerce sectors is highly preferred.
- Proficiency in SQL is mandatory. Experience with Big Data environments (Hadoop, Spark, Hive) or modern Data Warehouses (Snowflake, Databricks) is highly preferred.
- Expert in creating business-ready dashboards using Tableau, Power BI, or similar tools.
- Familiarity with CRM systems (Salesforce, Adobe) and CDP (Customer Data Platforms) is highly advantageous.
- CBAP (Certified Business Analysis Professional), PMP, Agile/Scrum Product Owner certifications, or relevant Cloud Data credentials.
