Sr Data Analyst

Role Overview

The Senior Data Analyst is a key technical role within the organization’s Information Technology functions. You will execute the company’s data strategy and analytics efforts on the enterprise data platform, partnering with stakeholders to define requirements, validate analytics, and deliver actionable insights.

Responsibilities

• Partner with business unit leaders, Product, and Data/Technology teams to elicit data and analytics requirements
• Research internal systems of record and external data sources; assess availability and data quality
• Obtain private data sources to support business needs
• Identify data translation/transformation requirements for the data warehouse
• Improve data quality via data curation, validation rules, and maintaining Master Data tables
• Maintain the Logical Data Dictionary (LDD) including data lineage, definitions, domains, source/destination systems, translations, transformation rules, and related documentation (versioning, audit trail)
• Reconcile and validate dashboards/reports to ensure consistent, high-quality insight delivery
• Document functional and non-functional business requirements for data collection, loading, transformation, curation, processing, and visualization/distribution
• Identify opportunities to automate manual processes and optimize data delivery/infrastructure scalability
• Provide analytics insights for customer acquisition, operational efficiency, and other KPIs
• Identify PII in primary sources and data architecture; define masking and special processing rules and maintain need-to-know access controls
• Identify and document BCP/DR and requirements for high availability and recoverability
• Define KPIs and document technical processes to monitor/analyze data warehouse performance and data accuracy
• Improve analysis data quality by assessing accuracy of new sources and effectiveness of new data gathering techniques

Requirements

• Senior-level ability to execute data strategy and analytics under limited supervision
• Strong stakeholder collaboration skills to define and validate data/analytics needs
• Experience supporting enterprise data platforms, data warehousing, and data quality practices
• Ability to manage documentation such as logical data dictionaries and lineage/audit information

Nice-to-Haves

• Familiarity with PII handling (masking, access controls) and data governance practices