
Senior Business Intelligence Analyst
3 days ago
As a Product Analyst, you will play a critical role in enabling data-driven decisions across the business by turning data into insights that influence product direction, customer success, and revenue growth.
Key responsibilities include designing and maintaining scalable ETL pipelines using Python to support data ingestion, transformation, and integration from multiple sources. Additionally, you will develop and maintain A/B testing frameworks, track key metrics, and analyze experiment results to inform product strategies.
You will work closely with the product team to develop and drive product strategy and new feature development, as well as collaborate with cross-functional teams to support commercial strategies with data solutions.
Other key responsibilities include analyzing customer and operational data to identify trends, patterns, and opportunities that support revenue growth and improve customer engagement. You will also develop and maintain dashboards and reports using SQL and data visualization tools like Looker, Tableau, or Power BI to present insights to stakeholders.
Furthermore, you will write and optimize complex SQL queries for data analysis and support decision-making processes, ensuring data integrity and quality through regular audits, validations, and monitoring.
Ultimately, your goal will be to partner with commercial teams to analyze performance data and support customer-facing initiatives, driving growth and improving customer satisfaction.
Requirements- Bachelor's degree in Computer Science, Data Engineering, Statistics, Mathematics, or a related field.
- 5+ years of experience in data engineering, ETL development, or a related role.
- Strong proficiency in Python, with experience in building ETL workflows and data processing scripts.
- Advanced SQL skills, including query optimization and database modeling.
- Proficiency with data visualization tools (e.g., Tableau, Power BI, or Looker).
- Familiarity with A/B testing methodologies and ability to analyze experiment results.
- Solid understanding of Excel, including advanced functions and pivot tables.
- Familiarity with cloud platforms and data storage solutions (e.g., AWS, GCP, Azure) is a plus.
- Competitive compensation package with equity.
- Flexible location and work-from-home options.
- Medical, vision, and dental coverage.
- Flexible vacation and PTO.
- Supportive, highly collaborative team environment.
We are seeking a skilled and experienced Product Analyst who is passionate about shaping the future of learning and driving growth. If you have a strong background in data engineering and analytics, and are looking for a challenging and rewarding role, we encourage you to apply.
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