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Data Integration Specialist
2 months ago
Trez Capital is seeking a highly skilled Data Integration Specialist to join our team. As a key member of our Data Analytics department, you will play a critical role in developing, implementing, and maintaining data integration and reporting solutions to drive business growth and improvement.
Key Responsibilities- Develop and implement ETL processes to support data integration and reporting solutions using SQL, Power BI, or other data management software.
- Work with various departments and personnel to create business cases and facilitate implementing new business processes, process redesign, and technology deployment with well-thought-out requirements, functional, and technical blueprints, and project plans to achieve desired business goals.
- Assist with maintaining the Enterprise Segment Architecture, including the Data Dictionary.
- Reconcile data and work with users to sanitize data where necessary, including identifying and remediating data inconsistencies.
- Perform other projects and duties as assigned.
- Undergraduate or other advanced degree in a quantitative discipline with applicable work experience in data management.
- Experience working with relational databases and normalized data.
- A minimum of 2 years using Microsoft SQL and one or more scripting languages in a data science/warehouse/management, financial analysis, or business intelligence role.
- Experience integrating financial and operational data from multiple systems.
- Practical experience with self-auditing solutions before delivery and development of solutions without technical requirements or project plans.
- Prior experience with SalesForce, nCino, Great Plains, or Loan Servicing software is preferred but not mandatory.
- Proven track record of implementing leading-edge performance indicators for businesses.
- Able to clearly communicate with technical resources and business users to develop business cases and solutions.
- Ability to understand and explain each discipline of analytics, data management, data architecture, and programming.
- A collaborative and dynamic work environment.
- Opportunities for professional growth and development.
- A competitive compensation package.