Analytics Engineer, Sovrn

• You share Sovrn’s belief that a highly effective engineer is defined as much more than just technical ability, but also someone who uses exceptional interpersonal skills to improve team dynamics and executes on technical work with a long-term strategic vision
• You are a self starter and able to get the job done without direct supervision. You enjoy leading a collaborative team but are also independently responsible. You are technically curious and enjoy investigating what is possible
• Defining technical challenges and solving problems with your team to make better software gets you excited
• Excellent understanding of big data processing environments such as Spark and Snowflake
• Proficiency with SQL and Python
• Hands on experience in big data and distributed data processing in the AWS ecosystem
• Experience with data warehousing and data mart design and implementation
• Strong understanding and inner workings of metadata management, data lineage, and data governance
• Strong experience in structured, unstructured, semi-structured data techniques and processes
• Ability to lead problem definition, solution designs, and define implementation work plans
• A creative yet analytical mindset with problem-solving skills
• Excellent communication and collaboration skills
• Ability to understand business domains and translate into data requirements
• Create and maintain data products from data warehouse to user facing outputs such as reports and dashboards
• Staying up to date with industry metrics and anticipate how they can be incorporated into Sovrn data

Desirable

• At Sovrn, we are building a new team that focuses on the maintaining, evolution and engineering of data processing across Sovrn’s Data Collective. This team will be focused on the transformation, availability, governance and evolution of derived data, so that critical product insights are readily obtainable by Sovrn’s internal business leaders
• Additionally, this team will focus on key data technology solutions and serve as subject matter experts on our data warehousing and business intelligence tools
• The team will be a driver of collaboration between engineers, data scientists, business analysts and product managers to enable better data access across all of our product lines
• As a Analytics Engineer II, you will be the founding member of a new and important team within Sovrn. You will interface with business and technical leaders throughout the company to gather requirements for the datasets that drive critical business decisions
• This position plays an integral role in building and maintaining key datasets within our data warehouse and evolving our analytics engineering practices
• Perform architecture design, table design, metric consistency, data modeling, and implementation of a big data platform and analytics applications
• Analyze latest big data and analytics technologies and provide expertise in big data strategies
• Provide governance of business-critical product data sets within Sovrn’s data warehouse and ensure their readiness for data analysts and other internal business users
• Provide technical leadership within the context of the new and growing Data Accessibility team
• Specify data platform components and configurations required for data pipeline implementation
• Implement data pipeline metrics to monitor performance, accuracy, and availability
• Research, implement, and evolve methods to process our data
• Optimize data processing and data access to business intelligence tools
• Provide domain expertise across the organization to enable business growth and development through data services and data models
• Troubleshoot systemic issues and lead improvements