Analytics Engineer
Job Title: Analytics Engineer
Location: Remote
Job Type: Full-time (Preferred) | Part-time (30-35 hours/week possible)
Sproft Media is seeking an experienced Analytics Engineer to design, build, and manage data infrastructure that enables efficient data collection, transformation, and analysis. This role will focus on orchestrating data pipelines, maintaining integrations with tools such as Segment, BigQuery, Tableau, and Hex, and ensuring the availability of clean, reliable data for business and product decision-making.
Key ResponsibilitiesDevelop and maintain scalable data systems using code and third-party tools.
Manage the ATO pipeline, ensuring seamless data flow between Segment, BigQuery, Tableau, and Hex.
Optimize data transformation processes for efficiency and reliability.
Ensure data is structured and filterable to support the work of the Product Analyst.
Collaborate with stakeholders to implement best practices in data governance, security, and compliance.
Monitor system performance and troubleshoot data issues as needed.
Design ETL pipelines to efficiently process and store large volumes of study session logs for analytics and reporting.
Develop data models to track student progress across various learning objectives, such as quiz performance, video watch time, and flashcard reviews.
Implement data quality checks to ensure the accuracy of student progress data before it reaches analytics dashboards.
Investigate and resolve issues in analytics reporting, such as sudden changes in key metrics (e.g., study session duration drops).
Proven experience as an Analytics Engineer or Data Engineer.
Strong proficiency in SQL and experience working with BigQuery or similar cloud data warehouses.
Hands-on experience with Segment, Tableau, and Hex.
Familiarity with data pipeline orchestration and ETL processes.
Ability to optimize data modeling and data transformation for scalability and efficiency.
Strong problem-solving skills and ability to work independently.
Excellent communication skills to collaborate with technical and non-technical teams.
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