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Role: Senior Data Analyst Employment Type: Contract Location: Remote Client - Mass Mutual Experience - 10+ years Technical Skills SQL: Data analysis, data profiling. Data modeling deep understanding will be enough. Experience using (Erwin, TOAD) Trianz is looking for a Senior Data Analyst having related experience in with data analytics, data modeling or data architecture and database design. About the role As a Data Analyst, one must have advanced knowledge of application, data, and infrastructure disciplines. Youll use your skills to implement data strategies, build data flows, and develop conceptual data models. Youre capable of working independently and communicating effectively to provide feedback on policies, procedures, processes, and standards. Job Responsibilities Manage database design and data models for a specific application. Analyze existing data and recommend changes that lead to a reduction of stored data without impacting business requirements. Daily and monthly responsibilities Perform as a technical data steward understanding tables, data use, data replication, data connection, and data lineage and take accountability for data hygiene. Review existing data model and recommend changes to optimize data requirements. Analyze source system data and look for data redundancy and duplication. Work with Application Architects to review exiting data models and suggest action to reduce input data for storage optimization. Work with the development team to implement data strategies, build data flows, and develop conceptual data models. Create logical and physical data models using best practices. Delivers and provides feedback for data modeling policies, procedure, processes and standards. Assists with capturing and documenting system flow and other pertinent technical information about data, database design, or systems. Required Skills 5+ years experiences with data analytics, data modeling or data architecture and database design. Experience in data modeling or data architecture in transactional and operational reportingand analytical (EDW, Data Lake, NoSQL) solutions. Experience with capacity planning, database scripting and package deployment Good knowledge of data replication methodology. Good knowledge of data warehouse, data mart and Data Lake Experience using (Erwin, TOAD, or any other data modeling tool) for data modeling.