Partnering with mission-driven entrepreneurs to build Rocky Mountain technology companies of impact, utility, and value.

Job Description:

As a Quant Analytics Sr. Associate on the Digital Analytics Team, you will (a) deliver timely and actionable insights to a diverse group of stakeholders to drive customer engagement and business performance, (b) work closely with colleagues in Product, Design, Technology, and Data & Analytics groups to define objectives and key results that can be measured, and create appropriate deliverables to track them accordingly, as well as (c) nurture a culture of test & learn by proactively and purposefully driving the agenda for, and removing hurdles to, continuous experimentation.

Job Responsibilities:

• Synthesize data from a number of different sources to identify timely and actionable insights to enhance customer engagement.
• Analyze web and mobile customer behavior to measure the performance and provide executive reporting to senior leadership on key trends.
• Collaborate with Product & Design teams to test and implement changes aimed at enhancing user experience and increasing adoption.
• Collaborate with UX/UI teams to test and implement changes aimed at enhancing user experience and increasing conversion rates.
• Evaluate and implement new tools and technologies to improve data collection, analysis and reporting.

Required qualifications, capabilities, and skills

• Bachelor's degree in statistics, business analytics, finance, economics, mathematics or any engineering field involving significant quantitative research and data analysis.
• 5+ years analytics experience within digital, product or marketing analytics
• Proficiency in writing code to query data using SQL, Python, Snowflake etc.
• Proficiency in creating interactive visualizations, dashboards using Tableau
• Experience with digital analytics tools i.e. Adobe Analytics, Google Analytics etc.
• Ability to work in a fast paced environment & independently navigate loosely defined business problems
• Excellent written and verbal communication skills with the ability to present data insights to non-technical audiences.
• Experience with experimentation tools like Split, Optimizely, Adobe Target preferred