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Associate Director, Analytics Engineering

United States

Opportunity Deadline

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Job Description

Fresh
United States
  • Country: USA
  • Vacancies No: N/A
  • Salary: N/A 
  • No of Jobs: N/A
  • Education: N/A 
  • Experience: 2-6
  • Gender: Both
Major Responsibilities:  
• Lead in the development of an Analytics Warehouse that will serve as the foundation and “single source of truth” for all data-driven strategy for Private Fundraising, Communications, and Advocacy and other partners of ER throughout the IRC.
• Coordinate with other members of External Relations Analytics, GDO, MarTech to implement data quality solutions, and to drive governance and data platform adoption.
• Lead ER Analytics’ relationship with IT Data team members to improve and enhance the ER data platform, and work collaboratively with leaders across IT.
• Lead External Relations analytical product roadmap to drive the strategic goals of the IRC, while tracking and budgeting data platform tooling costs
• Own planning of and delivery against analytics engineering roadmap, including feature development and internal process improvements toward scalability and automation.
• Lead the analysts and analytics engineers from the ER Analytics team and consultancies, in execution of data modeling and data warehousing projects, while developing design, documentation, and code review standards.
• Drive collaboration, governance, and documentation of data consumption resources, such as dashboards, data science pipelines, and outbound data flows, in partnership with other members of ER Analytics.
• Own the entire workflow of the ER Analytics Warehouse: Cloud Data Warehouse admin, data pipeline development, ELT performance, timely loading of data sets, and maintenance of data models via the use of monitoring, testing, and automation. 
 
Job Requirements:
Demonstrated Skills and Competencies:
• Curiosity to explore complex and ambiguous problems and deliver structured analytics solutions
• 6+ years working in the field of data and analytics, with 2+ years of experience recruiting, training, and supervising the development of team members.
• At least 5+ years of professional experience manipulating large scale data, using both Python and SQL (nested data structure manipulation, windowing functions, query optimization, data partitioning techniques) 
• Strong experience with data pipeline management technologies (e.g. Airflow, dbt, docker), dependency checking, schema design, and dimensional data modeling
• 4+ years of experience with cloud-based data warehouses (Snowflake, BigQuery, Redshift, Azure)
• 2+ years of experience owning dbt in a high-growth org, including deploying capabilities such as utils, packages, tests, snapshots, and incremental tables
• Knowledgeable and passionate about the “modern data stack” 
• Strong adherence to data ops best practices, including version control (e.g., GitHub), and data testing
• Independent worker with strong attention to detail & commitment to a high standard of work product
• Exceptional partner management skills, including experience collaborating across multiple offices with distributed teams, and delivering on roadmaps.
• Strong organizational and communications skills, including the ability to coordinate multiple workstreams while responding to complex requirements across multiple stakeholders. 
• Desire to work in a multi-cultural environment and collaborate with people from different backgrounds and experiences, with a partner-first approach to interacting with stakeholders in a mission-drive organization.

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