Senior Analyst, Product Intelligence

Hi, We’re AffiniPay! 

AffiniPay is a leading fintech company, based out of Austin, Texas. As the market leader in professional services payments and practice management software, AffiniPay’s tech products serve legal, accounting, architectural, engineering and construction firms. AffiniPay has been recognized as one of Inc. 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well! 

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. 

What You'll Do:

• Analytics & Insights
  • 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.
• SQL & Data Management
  • 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

About You:

• 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 us