Key Responsibilities:
- Team Leadership & Development:
- 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.
- Analytics Infrastructure & Engineering:
- 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.
- Data Strategy & Execution:
- 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.
- Technical Expertise & Hands-On Contribution:
- 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.
- EdTech Collaboration (Preferred):
- Leverage prior experience or interest in the EdTech industry to tailor data strategies that align with the unique needs of educational technology products and services.
Required Qualifications:
- Experience:
- 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.
- Technical Skills:
- Advanced expertise in dbt, Airflow, and Snowflake.
- Familiarity with relational databases such as PostgreSQL, MySQL, and Redshift is a plus.
- Strong understanding of modern data stack best practices, data modeling, and ETL/ELT workflows.
- Leadership & Communication:
- Excellent leadership and team management skills, with a focus on collaboration and coaching.
- Strong ability to communicate complex technical concepts to non-technical stakeholders.
- Problem-Solving & Strategic Thinking:
- Adept at solving complex data challenges and designing scalable solutions.
- Experience in aligning data strategies with business objectives and KPIs.
Preferred Qualifications:
- Industry Knowledge:
- Previous experience in the EdTech industry or a strong interest in leveraging data to improve educational outcomes.
- Data-Driven Mindset:
- Proven ability to turn raw data into actionable insights and business value.
- Experience with data visualization tools and advanced analytics techniques is a plus.
Get in on all the awesome at Instructure:
- Competitive salary and 401k.
- Medical, dental, disability, and life insurance.
- HSA program, vision, voluntary life, and AD&D.
- Tuition reimbursement.
- Paid time off, 11 paid holidays, and flexible work schedules.
- LifeStyle Spending Account
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