Tential Solutions is hiring: Data Analyst in Burbank
Tential Solutions, Burbank, CA, United States, 91520
As part of the transformation, we are 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 plays a pivotal role in shaping that foundation—translating product requirements into robust, scalable data models that serve both immediate application needs and long-term analytical and AI objectives. Embedded within the Platform Pod, this role works closely with Application Designers, Platform Engineers, the Senior Data Architect, and product-aligned pods to ensure application-specific data models integrate seamlessly with the enterprise data platform. They act as the primary bridge between feature-level requirements and platform-level data strategy—ensuring reusability, governance compliance, and analytical readiness.
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.
- Define and execute data validation, profiling, and reconciliation processes to ensure trusted results.
- Maintain documentation of data definitions, mapping specifications, and lineage diagrams for both applications and analytical datasets.
- Lead cross-pod workshops to resolve semantic conflicts, promote reusable data assets, and ensure consistent application of standards.
- Mentor junior analysts and support teams in data discovery, mapping, and quality assessment best practices.
- Represent the Platform Pod's data perspective in architecture boards, product councils, and design reviews.
Qualifications
- Proven expertise in data modeling techniques (relational, dimensional, wide-table for ML, data vault) and mapping business processes to data structures.
- 7-10+ years of experience in data modeling and related data roles.
- Strong proficiency in SQL, data profiling, and transformation tools (dbt, Informatica, AWS Glue).
- Familiarity with distributed data processing and analytics platforms (Snowflake, Databricks, AWS-native analytics stack).
- Experience translating product features and user stories into well-defined data model requirements.
Technology 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 (dbt, Informatica, AWS Glue).
- Experience in data quality frameworks, validation automation, and reconciliation methods.
- Familiarity with distributed data processing and analytics platforms (Snowflake, Databricks, AWS-native analytics stack).
- Demonstrated ability to align cross-team requirements into unified, reusable, and governed data solutions.
- Experience translating product features and user stories into well-defined data model requirements.
Location and Schedule
- Hybrid schedule – 3 days on-site (Burbank, CA)
Job Details
- Seniority level: Mid-Senior level
- Employment type: Contract
- Job function: Information Technology