Data Analyst

Client: Our client, a US education pioneer since 2000, leads in next-generation curriculum and formative assessment, creating interactive web solutions for teachers, students, and parents. They are technology-driven, with many software engineers using best practices and cutting-edge tools. • Position overview: We are seeking a skilled Data Analyst to enhance the calibration of customer support auditors, improve data models, and deliver actionable insights that drive cost-effective professional development and operational efficiencies. In this role, you will work closely with data engineering and leadership teams to analyze complex data sets, develop dashboards, and identify key cost drivers. • The ideal candidate has strong expertise in data visualization, SQL, and cloud-based analytics platforms, along with excellent communication skills to partner effectively with both technical and non-technical stakeholders. • The estimated salary range for this position is between 130,000 and 160,000 USD per year. • Responsibilities: Improve calibration of customer support auditors by analyzing historic audit results, developing a calibration dashboard, and recommending an appropriate target to leadership. • Enhance the customer support case data model to allow for efficient analysis of the impact of one case type on another in partnership with data engineering. • Deliver professional development services more cost-effectively by providing transparency to the true cost of delivery and related revenue. • Analyze cost trends based on delivery method, geographic location, session type, etc to identify and address the biggest cost drivers. • 5+ years of experience in data analysis • Demonstrable record of using data visualization best practices • Extensive expertise using business intelligence and data visualization tools (Tableau, Looker), including proficiency in SQL • Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS, Fivetran) • Proficient in a statistical or functional programming language (preferably python or R) • Understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support • Background in education in tech, or other fields with significant privacy, security, and compliance requirements • Experience building reports and analyzing data from company software, e.g., Netsuite, Hubspot, Salesforce etc. • Excellent communication skills in writing and conversation, especially with non-technical partners • A drive to understand data and key performance metrics and their relevance to our business and product decisions • Ability to learn and adopt new tools and methods • Strong analytical background and experience driving self-directed projects