Senior Analyst, AffiniPay

• 5+ years of experience in product analytics or a similar role, with relevant experience at a SaaS technology company
• Good understanding of data structures and pipelines with strong proficiency in product analytics tools (e.g. Mixpanel or Amplitude experience is a must, with a strong preference for Mixpanel experience) and a point-of-view of what belongs there vs a general purpose BI Tool, (e.g, Tableau)
• Demonstrable track record of creating impactful dashboards and reports with strong visualizations and story-telling
• Proficient in SQL, quantitative, and qualitative analysis, with ability to deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
• Fluency in defining KPIs, features & usage metrics (adoption, conversion, retention, satisfaction, & segmentation) statistical and predictive modeling concepts, descriptive statistics, experimental design, and multivariate A/B testing
• 2+ years experience working within a product team, with a focus on measuring success of launches, leveraging data to drive product decisions, designing product experiments, and defining usage patterns by user archetypes
• A passion for data and analytics, with a strong background in identifying opportunities at SaaS technology companies through strong visualizations and story-telling
• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
• Strong product sense and experience working closely with product managers to drive product strategy and influence growth levers from free trial to cross-sell to retention
• Strong attention to detail and independent problem solver with a drive to understand the core issue and determination to uncover the solution
• Exceptional communication (listening, written, and oral) skills with the ability to present findings and recommendations targeted to the audience in question
• A collaborative mindset, ready to work cross-functionally and contribute to team success
• Genuine customer empathy to find solutions to improve the lives of our users

Desirable

• We’re seeking a talented Senior Analyst, Product Intelligence to join our dynamic Business Intelligence & Analytics team and directly support our Product team
• We are looking for someone who loves data and brings a strong customer focus coupled with a strong understanding of the SaaS business model and product analytics
• This individual should have demonstrated abilities to influence product strategy & investment decisions by leveraging data insights to uncover growth opportunities and leading indicators of business impact
• As a trusted strategic partner, you will influence and convince decision-makers using clear insights, recommendations and data-driven stories
• You will help Product Managers prioritize what to build, set goals, and understand their product’s ecosystem and usage across the entire customer lifecycle
• Leveraging a deep understanding of AffiniPay products, customers & business goals, use analytical and statistical rigor to identify insights and opportunities that influence business decisions and improve business performance
• Employ data-driven techniques to help our team prioritize the product roadmap and measure the success of launches using analytical frameworks such as cohort analysis, funnel analysis, A/B testing, segmentation, etc
• Collaborate with data analysts, product,and design to create insightful data visualizations that tell stories, identify opportunities, and inform decision-making
• Use Mixpanel and Tableau to build high-quality dashboards and reports to provide compelling, clear, and powerful visualizations of user behavior, product performance, and market trends
• Establish regular analysis and reporting of insights from a variety of sources such as customer feedback, support cases, Win/Loss analyses, NPS, churn, product usage, competitive intelligence, and market trends. Use this data to create valuable insights that drive product strategy and business metrics
• Develop appropriate analytical frameworks to drive better decision-making, such as cohort analysis, funnel analysis, A/B testing, segmentation, etc
• Partner with key stakeholders to ensure data-driven decision-making during all aspects of the product life cycle and translate analytical insights into clear, actionable plans to improve product functionality and user experience
• Review the data we have available across our customer journey and partner with Product & Engineering to increase comprehensiveness and quality
• Oversee data hygiene and analytics implementation in Mixpanel and partner with Data Engineering to ensure consistency, scalability, and connectivity to other data stores
• Write and optimize complex SQL queries to generate dashboards and reports and work with Data Engineering to ensure access to performant data
• Ensure the accuracy and integrity of data by working with Data Engineering and Biz Ops to perform regular data audits and implement processes that diagnose and resolve data quality issues