Data Modeler

Skills

•Collaborate with business stakeholders data analysts developers and architects to understand business requirements data sources and data flows and design data models that meet business needs and technical standards. •Develop and maintain conceptual logical and physical data models for financial services applications ensuring data accuracy completeness consistency and integrity. •Perform data profiling data quality analysis and data cleansing activities to ensure data accuracy completeness and identify data issues and trends. •Evaluate and recommend new technologies tools and methodologies to improve data modeling and data management practices and ensure compliance with data security privacy and governance policies. •Participate in data integration migration and conversion projects and provide technical guidance and support to other teams involved in data management and reporting. •Communicate effectively with business and technical stakeholders and provide training and support to end users on data modeling and data management concepts and practices.

Description

Looking for at least 8 years of experience, 10 years maximum. Looking for strong data modeling experience, ER studio or Erwin is preferable but not required. Must work onsite in Phoenix, AZ: 3 days a week onsite. Open to relocation candidates, but local is strongly preferred. Using ER studio, getting requirements from team, able to translate into data models, will do scripting (any kind is fine), and implement into multiple databases (oracle, postgres, sql server, any nosql mongo Cassandra couchbase, single store db, etc), Needs enough database experience to write statements, unions, joins, understand how databases work behind the scenes

Responsibilities

• •Bachelor's or Master's degree in Computer Science, Information Systems, Finance or related field.
• •5+ years of experience in data modeling
• •Strong proficiency in data modeling techniques and tools, such as ER/Studio, etc.
• •Excellent analytical and problem-solving skills, with the ability to identify and resolve complex data modeling issues and challenges.
• •Good understanding of data management concepts and practices, such as data quality, metadata management, data lineage, data integration, data governance, etc.
• •Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
• •Experience with data analysis and reporting tools, such as SQL, Tableau, Excel, etc.