Senior Data Analyst
Job in
Burbank, Los Angeles County, California, 91520, USA
Listed on 2026-02-19
Listing for:
LanceSoft, Inc.
Full Time
position Listed on 2026-02-19
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
- We are looking for Data Analysts who are proactive, agile thinkers that thrive on tackling complex, user-centric challenges.
- Highly supportive team with diverse skill sets and backgrounds.
- 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.
- 7-10+ years of experience
- 7-10+ years of experience
- 7-10+ years of experience
- 7-10+ years of experience
- 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).
- Experience in data quality frameworks, validation automation, and reconciliation methods.
- Familiarity with distributed data processing and analytics platforms (e.g., 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
- 7+ years of experience as a Data Analyst, Data Modeler, or similar role in enterprise-scale, cloud-based environments.
Position Requirements
10+ Years
work experience
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