Sr. Data Analyst

Job Location – Burbank, CA (Hybrid – 3x Per Week Onsite)

Type – Contract (10 Months with Possible Extension)

Pay Rate – $74.00 – $84.00 Per Hour

W2 Candidates Only

Responsibilities

Lead Data Analysis for Application & Platform Alignment

• 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.

Ensure Long-Term Analytical & AI Enablement

• 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.

Governance, Quality, and Documentation

• 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.

Cross-Pod Collaboration and Mentorship

• 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.

Must Have Skills / Requirements

• Proven expertise in data modeling techniques (relational, dimensional, wide-table for ML, data vault) and mapping business processes to data structures.
  1. 7-10+ years of experience
• Strong proficiency in SQL, data profiling, and transformation tools (e.g., dbt, Informatica, AWS Glue).
  1. 7-10+ years of experience
• Familiarity with distributed data processing and analytics platforms (e.g., Snowflake, Databricks, AWS-native analytics stack).
  1. 7-10+ years of experience
• Experience Translating product features and user stories into well-defined data model requirements
  1. 7-10+ years of experience