Senior Data Analyst

Qualifications:

• 5+ years of relevant work experience in analytics, data centric role and/or business intelligence related field.
• Significant analytical skills; background in statistics and/or data science strongly preferred.
• Strong, demonstrable experience with data visualization tools  and strong storytelling skills for technical and non-technical audiences.
• Advanced skills in SQL and SQL platforms
• Experience in product analytics/telemetry and related platforms - e.g., Amplitude, Pendo, Google Analytics - a strong plus
• Experience with prescriptive and predictive analytics a plus.
• An excellent communicator, with the ability to simplify key messages, present compelling stories and promote technical and personal credibility with internal and external stakeholders.
• Passion for teamwork and collaboration, adaptability, communication, problem-solving, customer focus, results, and innovation.

Requirements:

• 6-8 years of experience as an individual contributor with experience using modern analytics and programming languages with an emphasis on statistical analysis.
• A proven ability to interface with high value customers and communicate with both technical and non technical audiences alike.
• Have a strong demonstrated toolkit to build robust and performant models.
• Have a proven track record of shipping high quality data analysis at a high cadence.
• A passion for building intuitive technology and a thirst for learning.
• Able to think through customer requirements and prioritize what is a must-have, nice-to-have, or irrelevant.
• Have a strong technical skillset but also the willingness and ability to take over tasks outside your core competency.

Key Skills:

• Statistics and mathematics.
• Data management and infrastructure.
• Critical thinking.
• Verbal and written communication.
• Problem solving.
• Programming and coding.