
Data Operations Specialist
3 weeks ago
- Develop and implement an end-to-end data strategy covering both internal and external sources (e.g., CRM, MAP, Product Entitlements, Success, Web, etc.) and lead data management, data governance, and business analytics data pipelines
- Define in partnership with corporate IS; business requirements Master Data Management (MDM) solutions, including data warehouse/data lake implementations to ensure a single source of truth across multiple data sources
- Implement and enable cross functional data governance processes for management of data products and information solutions
- Collaborate closely with Finance, Market Insights, IT, Marketing, Sales, Success, and other internal teams to integrate data into a single platform
- Function as business lead responsible for translating business challenges into technical solutions.
- Lead new data acquisition efforts and negotiate with third parties to access data. Proactively manage vendor relationships, oversee contract negotiations, acquire data, and define formats
- Develop and implement Data Quality Management (DQM) processes to ensure timely, accurate, and complete data is delivered to relevant stakeholders
- Build data marts to enable advanced analytics and support enterprise-wide business intelligence systems for self-service analytics, and data visualization (Domo/PowerBI)
- Ensure adherence to regulatory standards and compliance requirements related to claims data analysis and reporting
- Stay abreast of the latest industry trends, advancements, and best practices in data management, and data sciences.
Requirements:
- Bachelors degree Computer Science, Statistics, Business, Mathematics, or a related field; advanced degree in similar technical discipline is a plus
- 2-3 years of experience in commercial data management roles in a SaaS company
- Project management skills with the ability to oversee multiple large scale technical projects and deliver on budget and on time
- Ability to connect data to the overarching business questions and understand the link between go to market strategy and data integration efforts
- Familiarity with data analytics, data visualization, and machine learning
- Experience with cloud-based data solutions (AWS, Azure, Snowflake)
- Innovative mindset with the ability to take a creative approach to best meet the needs of both customers and AECO
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