Senior Director, Analytics

Company Description

At Xplor, we believe that helping people make the most of each day is the most rewarding way to spend ours.

We give small and medium-sized businesses cloud-based, intuitive technology solutions that enable them to manage all the hassles of running and growing a business, so business owners can get back to doing what they love. With Xplor Pay, we help businesses get paid quickly and securely – without hidden fees. We built the tech ourselves, and our platform delivers secure, transparent, fast, and accurate payments.

We are unified by our purpose of helping people to succeed. So, when you become part of our team, you also become part of the personal connection that strengthens the relationship people have with Xplor products.

Job Description

Analytics infrastructure

• Implement effective, flexible, issue-identifying data collection system for lead to cash. Interface cleanly with centralized data warehouses. Establish anomaly detection and other data hygiene systems
• Choose modern, valuable tooling for Analytics and split (A/B) testing. Stay on top of new offerings to upgrade the team's capabilities over time, including using LLMs to increase team effectiveness. Translate new software capabilities into training for analytics and PMs 
• Develop a analytics roadmap, consulting with your leaders and cross-functional partners
• Ensure company and focus areas KPIs are well defined and tracked 
• Align processes and thinking across Product Analytics and User Experience Research to ensure product leaders receive comprehensive and consistent insights from the two sources
• Partner with PM, Business Operations, and other key partners to establish product data standards, including data ethics, data quality, and data governance

Team deliverables

• Automate and distribute key dashboards for leaders and teams to better run the business and understand user context
• Provide systems and resources for PMs to cleanly pull datasets themselves and create their own reports (currently in PowerBI). 
• Deliver effective A/B testing. Your team supports simple A/B testing by PMs themselves and/or implements complex tests alongside PMs. Tests themselves are well designed to deliver actionable insights
• Deliver high value insights and actionable recommendations via your team's product analysis and executive summaries. Present to leadership regularly
• Provide strategic guidance for Product strategy, informed by deep user and business understanding. Advise on which questions to ask. Use tools such as KPI trees to identify and recommend high leverage product areas

Team development

• Build an analytics team
• Coach and grow your leaders to be strategic partners for their areas (Fitness and Wellbeing and home services), delivering proactive guidance on key product and user insights that drive the business
• Ensure growth-minded culture and learning capabilities that support your entire organization's development and skill building, including industry scientific capabilities such as statistical modeling, exploratory data analysis, and causal inference 
• Continuously enhance your own knowledge of product analytics frameworks and best practices, - (in a world of quickly evolving LLMs/machine learning and general new approaches to problem solving).
• Implement team learning and implementation of these new approaches
• Champion a data- and outcome-driven culture inside and outside your team
• Continuously maintain and uplevel high performance standards across your team

The average base salary pay range for this position is $150,000 to $180,000

Qualifications

• BA/BS degree, preferably in a technical field
• 10+ years of experience in data science and statistics in SaaS / payment companies, with experience in the product and user behavior domain. 
• 4+ years of experience building, managing and leading analytics and data science teams
• Deep understanding of how Product Analytics can support the product development lifecycle every stage
• Infrastructure and Tooling
  • High proficiency in Python, R, SQL, and other data science tools/frameworks
  • Experience with Snowflake and PowerBI 
  • Experience working with ML in low and high value situations.
  • Experience setting up different experimentation systems with a perspective on where the field is evolving
  • Experience partnering with centralized data systems
  • Experience establishing data governance, ethics, and quality

• Deliverables
  • Track record of providing insights that shape the product roadmap and business, with measurable outcomes on customer growth, engagement, satisfaction, and business impact
  • Trusted partner to product