Senior Data Analyst in Downtown Los Angeles, LA Hybrid

1. Content Data Analyst/Technical BSA (Data heavy)
1. Focus: Data analysis, data technical documentation and requirements, backlog management, strong organizational skills (need to reorganize and structure several disparate confluence pages), work closely with engineering

 ·         Responsibilities

·         Gather, analyze, and document business and content‑related data requirements and translate them into clear, actionable technical requirements

·        Create, refine, and manage Jira stories, tasks, and defects, including clear descriptions, acceptance criteria, and dependencies, to support data and content initiatives

·         Collaborate with product managers and engineering teams to ensure Jira tickets are ready for development and aligned to sprint and release goals

·         Analyze data sets to identify trends, gaps, and quality issues, and support root‑cause analysis and remediation of data defects

·         Act as a bridge between business stakeholders, product managers, and data/engineering teams to ensure shared understanding of data needs and constraints

·         Support data governance practices by ensuring consistent definitions, standards, and usage of content and business data across platforms

·         Support testing, validation, and release readiness activities, including documentation and operational handoff

·         Provide support for data‑related questions and triage issues, partnering with engineering and platform teams as needed

             ·         Skills Needed

·         Strong SQL skills and experience querying and validating large, complex datasets

·         Experience supporting content, digital, marketing, or product data domains

·         Familiarity with data quality, data governance, and metadata management concepts and practices

·         Familiarity with analytics, BI, or data visualization tools

·         Exposure to data lineage, catalog, or discovery tools

·         Experience working in Agile or product‑oriented delivery environments

·         Experience documenting technical and data requirements, including acceptance criteria and data specifications

·         Hands‑on experience as a data analyst or technical analyst is strongly preferred

·         Soft skills

·         Strong analytical and problem‑solving skills, with the ability to break down ambiguous problems into clear, actionable requirements

·         Clear and concise written and verbal communication skills, especially when documenting requirements and Jira tickets

·         Proven ability to collaborate effectively with cross‑functional teams, including product, engineering, and business stakeholders

·         Strong attention to detail, balanced with the ability to prioritize and manage multiple work streams

·         Willingness to learn and grow in a technically complex, data‑driven environment

·         Comfortable operating in fast‑paced, evolving environments with changing priorities

·         Strong sense of ownership and accountability for data quality and outcomes