ICONMA
Our Client, a Mass Media and Entertainment company, is looking for a Senior Data Analyst for their Burbank, CA/Hybrid location.
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 Pods data perspective in architecture boards, product councils, and design reviews.
Requirements:
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 analysis and modeling. 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). Why Should You Apply?
Health Benefits Referral Program Excellent growth and advancement opportunities As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or expression, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws. #J-18808-Ljbffr
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 Pods data perspective in architecture boards, product councils, and design reviews.
Requirements:
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 analysis and modeling. 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). Why Should You Apply?
Health Benefits Referral Program Excellent growth and advancement opportunities As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or expression, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws. #J-18808-Ljbffr