Description

Perform deep-dive data analysis to uncover patterns, operational risks, and new business opportunities.

You will own the release pipeline.

Responsibilities

• Validate data quality by checking completeness, accuracy, and consistency across multiple sources.
• Build, automate, and optimize large datasets to support advanced analytics, data mining, and visualization.
• Conduct exploratory analytics and create meaningful dashboards and reports tailored to business needs.
• Recommend insights, hypotheses, and technical solutions for evolving product challenges.
• Collaborate with cross-functional teams to ensure analytics outcomes align with business goals.

Required Skills

• 5+ years of experience in Data Analytics, Business Intelligence, or similar analytical functions.
• Advanced SQL capabilities with hands-on experience working with high-volume datasets (400M+ rows/day).
• Expertise in SQL and relational database environments.
• Proficiency with Quantum Metrics for product performance analytics.
• Experience with modern data visualization tools (Power BI, Tableau, Spotfire, Excel).
• Exceptional analytical thinking and comfort operating in ambiguous environments.
• Strong storytelling skills to communicate data insights to technical and non-technical audiences.

Preferred Skills

• Experience with Python or other scripting languages for advanced analytics and automation.
• Familiarity with digital analytics/monitoring tools such as Akamai, Dynatrace, and Quantum Metrics.

Key Skills

Education

Bachelor's degree