Manager, Analytics Engineering

Summary

Join Instructure, a company focused on creating intuitive products for learning and personal development, as a Manager of Analytics Engineering. Lead and mentor a team of data analysts and analytics engineers, building and managing robust analytics infrastructure. Shape data-driven decision-making across the organization by ensuring high-quality data and fostering a collaborative environment. The ideal candidate is an experienced leader with a strong technical background in analytics engineering and a passion for leveraging data to drive business outcomes. This role involves overseeing data pipelines, collaborating with cross-functional teams, and translating business needs into data solutions. The successful candidate will possess advanced expertise in dbt, Airflow, and Snowflake.

Requirements

• Proven experience (5+ years) in data analytics, data engineering, or analytics engineering roles
• At least 2+ years of leadership or management experience, overseeing teams of analysts and engineers
• Advanced expertise in dbt, Airflow, and Snowflake
• Strong understanding of modern data stack best practices, data modeling, and ETL/ELT workflows
• Excellent leadership and team management skills, with a focus on collaboration and coaching
• Strong ability to communicate complex technical concepts to non-technical stakeholders
• Adept at solving complex data challenges and designing scalable solutions
• Experience in aligning data strategies with business objectives and KPIs

Responsibilities

• Manage and mentor a team of data analysts and analytics engineers, fostering professional growth and skill development
• Set team goals, define key performance metrics, and ensure timely delivery of projects
• Promote a culture of collaboration, continuous improvement, and innovation within the team
• Oversee the design, development, and optimization of data pipelines, data models, and transformation workflows using dbt, Airflow, and Snowflake
• Collaborate with cross-functional teams to identify and prioritize analytics engineering initiatives aligned with business objectives
• Implement best practices for data governance, security, and performance to ensure scalable and reliable analytics solutions
• Partner with stakeholders to translate business needs into data and analytics solutions
• Define and execute strategies for integrating, modeling, and transforming data from diverse sources, including PostgreSQL, MySQL, and Redshift
• Drive insights by enabling advanced analytics and reporting, supporting business teams in making informed decisions
• Provide hands-on expertise in dbt, Airflow, and Snowflake, guiding the team in best practices and troubleshooting complex data challenges
• Stay current with industry trends and emerging technologies, ensuring the team is leveraging the most effective tools and methodologies

Preferred Qualifications

• Previous experience in the EdTech industry or a strong interest in leveraging data to improve educational outcomes
• Proven ability to turn raw data into actionable insights and business value

Benefits

$140,000 - $160,000 a year