Data Insights Developer

Summary

Join SpryPoint as a Data Insights Developer and design, develop, and maintain data reporting solutions using tools like Metabase. Collaborate with cross-functional teams to ensure data accuracy and integrity. This pivotal role drives data-driven decision-making and optimizes client operations. You will design data pipelines, implement reporting solutions, gather requirements from stakeholders, perform data cleansing, and monitor data pipelines. The position requires strong analytical and communication skills and experience with relational databases and SQL. SpryPoint offers a remote-first work environment, competitive compensation, and various benefits.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, or a related field
• Hands-on experience with relational databases such as PostgreSQL, including database design, query optimization
• Proficiency in writing complex SQL queries, stored procedures, and triggers
• Experience with data visualization tools like Metabase, Tableau, or Power BI
• Strong understanding of database design, data modeling, and ETL processes
• Excellent analytical, problem-solving, and communication skills
• Ability to work effectively in a collaborative team environment and handle multiple tasks simultaneously

Responsibilities

• Design, develop, and optimize data pipelines to support reporting and analytics requirements
• Implement and manage reporting solutions using tools like Metabase, ensuring user-friendly dashboards and visualizations
• Collaborate with business stakeholders to gather requirements, define KPIs, and deliver actionable insights through reports
• Perform data cleansing, transformation, and aggregation to prepare datasets for reporting purposes
• Monitor and troubleshoot data pipelines and reporting processes to ensure reliability and performance
• Work closely with team members to support data-driven decision-making initiatives
• Stay updated with emerging technologies and best practices in data engineering, reporting, and analytics

Preferred Qualifications

• Relevant certifications in data management, database administration, or data analytics are a plus
• Experience with Python programming language is preferred, and some understanding of API development is considered a bonus

Benefits

• Remote-first and autonomous working environment with flexible working hours
• Competitive compensation package
• Macbook + $500 towards your home office setup
• Health, dental, vision, and life insurance
• Generous PTO, ½ day Summer Fridays, and flexible sick days
• RRSP (Canada) and 401k (US) matching program
• Professional development courses, $2,500 annual tuition assistance, and a book bounty program
• Annual company events and team offsites