POSITION SUMMARY

The Amynta Group is seeking a senior manager of data management with deep domain knowledge of the Insurance and Warranty industries to join the Enterprise Data Team to build and maintain data systems and datasets that support our entrepreneurial business requirements. Working with and supporting your peers in this team, you will create and manage our data architecture including data extraction, transformation, and storage in SQL databases. The data architecture that you design will feed our Power BI visualizations, dashboards, and reports.

JOB REQUIREMENTS*

• Bachelor’s degree in Math, Statistics, Computer Science, or similar quantitative field preferred.
• Thorough understanding of warranty and insurance business and data domains including policy/contracts, claims, brokerage.
• 5+ years of relevant experience as a data engineer, Power BI developer or Business Intelligence analyst with a strong technical foundation.
• Strong ETL skill and experience. Familiar with CDC concept and major ETL tools like Informatica, Talend, and Azure Data Factory etc.
• Extensive experience in writing SQL and working with complex datasets. Experience interacting with SQL Server Analysis Services, SQL Server Reporting, Azure Synapse, Power Data Flows, Power Query and Power BI preferred
• Strong analytical skills
• Good written and verbal communication skills
• Detail oriented and organized
• Experience with any type of Cloud product, such as AWS, Microsoft Azure.
• Demonstrated strong interpersonal skills, leading and participating in a team environment
  Pay Range
  $90,000 - $155,000 with consideration for a target bonus. The actual compensation will depend on several factors including geographical location, relevant experience, skills and knowledge pertaining to this role and industry.
  The Amynta Group (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of any ground of discrimination protected by applicable human rights legislation. The information collected is solely used to determine suitability for employment, verify identity and maintain employment statistics on applicants.
  Applicants with disabilities may be entitled to reasonable accommodation throughout the recruitment process in accordance with applicable human rights and accessibility legislation. A reasonable accommodation is an adjustment to processes, procedures, methods of conveying information and/or the physical environment, which may include the provision of additional support, in order to remove barriers a candidate may face during recruitment such that each candidate has an equal employment opportunity. The Company will accommodate a candidate to the point of undue hardship. Please inform the Company’s personnel representative if you require any accommodation in the application process.

• Design, develop and maintain our data infrastructure using the Microsoft stack including Fabric, Azure Synapse, SQL Server, Power BI, Power Query, and Power Data Flows
• Extract, transform, and load raw data from multiple sources including structured and unstructured data, databases, files, cloud and on-premises
• Evaluate business needs and objectives to inform data architecture design solutions
• Explore ways to enhance data quality, reliability and efficiency
• Identify opportunities for data acquisition
• Serve as a technical business analyst / consultant to non-technical stakeholders
• Drive our data-driven culture: accumulate, analyze, present, and leverage data in decision making, and look for opportunities to cultivate richer insights about our business