The company is building a modern, governed, and reusable data foundation to power financial forecasting, title economics, content sales planning, and AI-driven insights across the enterprise. The Senior Data Analyst will translate product requirements into robust, scalable data models that serve both immediate application needs and long-term analytical and AI objectives.
Requirements
- Proven expertise in data modeling techniques (relational, dimensional, wide-table for ML, data vault) and mapping business processes to data structures.
- Strong proficiency in SQL, data profiling, and transformation tools (e.g., dbt, Informatica, AWS Glue).
- Familiarity with distributed data processing and analytics platforms (e.g., Snowflake, Databricks, AWS-native analytics stack).
- Experience Translating product features and user stories into well-defined data model requirements
- Experience in data quality frameworks, validation automation, and reconciliation methods.
- Demonstrated ability to align cross-team requirements into unified, reusable, and governed data solutions.
Responsibilities
- Translate product features and user stories into well-defined data model requirements that support application workflows and downstream analytics.
- Partner with Application Designers and Engineers to profile, assess, and validate source data, ensuring it meets both functional and non-functional requirements.
- Collaborate with the Senior Data Architect to align application data models with canonical and semantic models across domains.
- Design data structures and pipelines that serve both operational application needs and future analytical/AI use cases.
- Anticipate and define data capture, transformation, and enrichment requirements to support predictive modeling, forecasting, and advanced analytics.
- Recommend optimizations that improve data quality, timeliness, and completeness for decision-making.
- Partner with enterprise data governance teams to apply metadata, lineage, and access control standards.
Other
- Hybrid schedule – 3 days on-site (Burbank, CA)
- Excellent communication and facilitation skills to influence design decisions across product, platform, and governance teams.
- Think in Domains and Products – You design data solutions that reflect business semantics and scale across use cases.
- Bridge Technical and Business Worlds – You can translate analytical needs into technical specifications and vice versa.
- Govern Through Enablement – You make governance easy to adopt by embedding it directly into design and workflows.
