Senior Analytics Engineer

Summary

Join GoodLeap as a Senior Analytics Engineer and contribute to the development of data pipelines and visualizations for our business partners. Collaborate with stakeholders to design and build curated datasets, structure data for export, and create reports. Leverage your expertise in data visualization and storytelling to create actionable dashboards. Educate non-technical stakeholders on data tools and support their adoption. Lead data modeling and transformation projects to improve data usability. Work with the Analytics team to implement new data sources and pipelines. Contribute to data engineering requirements and enhancements. This role requires a strong foundation in pipeline development, data modeling, and data visualization, along with experience in SQL, Tableau, and Agile processes. A competitive salary and bonus are offered.

Requirements

• BS in Computer Science, DS, or related technical degree or equivalent work experience
• 3-5 years' experience as an Analytics Engineer, BI Analyst, Data Analyst, or similar role
• 3+ years' hands-on SQL experience performing pipeline development in a work environment
• Experience with data management, documenting process and data flows, and ensuring data quality
• Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
• Experience with ETL processes, software development, and lifecycle awareness
• Experience with Agile processes utilizing JIRA + git to track and version control work
• Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders
• Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses
• Analytical mindset and willingness to identify and question assumptions

Responsibilities

• Work with business stakeholders to understand priorities and identify opportunities to advance their analytics solutions
• Provide support to business teams by triaging requests, investigating data issues, and building tools and processes to support ad hoc data needs
• Develop datasets and dashboards for business teams that support a range of operational and strategic recurring data needs
• Showcase expertise in data visualization and storytelling best practices through design and implementation of actionable dashboards
• Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need
• Assist business users in identifying and deploying the right tool for each use case, and support new tool and technology assessments to improve stakeholder adoption
• Lead data modeling, transformation, and normalization projects to increase usability of critical business data
• Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations
• Provide input to Data Engineering on requirements and enhancement needs for existing data ingestions, pipelines, and platforms

Benefits

• $146,000 - $170,000 a year
• Bonus