Lead Data Analyst

This role is for a Lead Data Analyst in Encino, CA, on a contract basis. Requires 10 years of experience in data analysis and modeling within financial services, particularly wealth management. Proficiency in SQL, data modeling tools, and ETL processes is essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 16, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Los Angeles, CA
🧠 - Skills detailed
#Data Analysis #Dimensional Modelling #Data Lifecycle #Data Storage #ERWin #Storage #ADaM (Analysis Data Model) #Data Quality #Data Governance #Agile #Scala #Oracle #Data Warehouse #Physical Data Model #Metadata #Data Pipeline #Data Management #Compliance #SQL (Structured Query Language) #Data Integration #Data Science #R #SQL Server #Data Engineering #Databases #"ETL (Extract #Transform #Load)" #Data Modeling #Documentation #Data Profiling
Role description
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Bright Vision Technologies has an immediate opportunity for a Lead Data Analyst in Encino, CA.

Job Title: Lead Data Analyst

Job Location: Encino, CA (Onsite)

Job Type: Contract

Job Responsibilities

You will be responsible for analyzing and modelling data to support our wealth management initiatives. You will work closely with cross-functional teams to understand business requirements, perform source-to-target transformations, and design data models that meet the needs of the organization. The ideal candidate will have a strong background in data analysis, data modeling, and financial services, with a focus on wealth management.

Responsibilities
• Design and develop conceptual, logical, and physical data models that align with business objectives and regulatory requirements in wealth management.
• Utilize industry-standard data modelling techniques and tools to document and communicate data structures, relationships, and definitions.
• Collaborate with business stakeholders to gather and analyze requirements for data analysis and modelling projects.
• Perform source-to-target transformations to ensure data quality, consistency, and integrity throughout the data lifecycle.
• Work closely with technical teams to implement data models in relational databases, data warehouses, and other data storage solutions.
• Conduct data profiling and analysis to identify trends, patterns, and insights that drive decision-making in wealth management.
• Develop and maintain data dictionaries, metadata repositories, and other documentation to support data governance and compliance efforts.
• Collaborate with data engineers, data scientists, and other stakeholders to optimize data pipelines and workflows for performance and scalability.
• Stay current with industry trends, best practices, and emerging technologies in data analysis, data modelling, and financial services.

Requirements
• 10 years of experience in data analysis, data modeling, and data management, preferably in the financial services industry with a focus on wealth management.
• Strong understanding of source-to-target transformations, ETL processes, and data integration techniques.
• Proficiency in data modelling tools such as Erwin, Erwin Data Modeler, or similar tools.
• Hands-on experience with SQL, relational databases (e.g., SQL Server, Oracle), and data warehousing concepts.
• Knowledge of industry-standard data modelling methodologies (e.g., ER/Studio, Kimball Dimensional Modelling) and best practices.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate complex business requirements into technical solutions.
• Experience working in Agile environments and collaborating with cross-functional teams.
• Certifications in data modelling or related areas (e.g., CDMP, DAMA) are a plus.

Would you like to know more about this opportunity? For immediate consideration, please send your resume directly to venkat.r@bvteck.com or contact us via phone at 732-298-7641.

At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.