Persona helps businesses manage KYC/AML/KYB programs, fight fraud, and build trust by automating any identity-related use case with our flexible identity infrastructure. For example, we help Coursera verify learners’ identities before delivering course credentials and Brex comply with strict international KYC/AML regulations.

Beyond securely collecting and verifying user information such as PII, government IDs, and selfies, our platform also provides flexible case review and orchestration tools to help businesses streamline and automate all their identity operations — from setting custom rules to ingesting third-party data and triggering external actions.

In short, Persona handles the complexities of securely collecting, verifying, and managing sensitive personal information, so you can stay focused on building your product.

Persona is looking for a Customer Data Analyst to join the Customer Insights team. You will join a lean and nimble team focused on supporting the needs of Persona’s prospects, customers, and Customer Success teams. You will provide data-driven insights and recommendations to our prospects and customers in order to drive retention and enable customer growth. Internally, you will find opportunities to improve operational efficiency and help us scale our methodology to deliver customer-happiness.

In your day-to-day, you will run analyses for internal and external stakeholders, develop automated dashboards for a wide range of stakeholders, support in building the ELT pipeline that prepares Persona’s data for company consumption, and guide internal decision-making to improve effectiveness across all customer-facing teams. Apart from interacting with our Customer Success and Sales stakeholders, you will work cross-functionally with our Product, Engineering, Marketing, and Infrastructure teams. This role is crucial in helping shape the future of Persona's data-driven customer approach.

What You'll Do

• Apply a diverse set of tactics including statistics and quantitative reasoning to solve a wide variety of customer problems
• Iterate on current methodology for understanding and showing value of the Persona platform to our customers
• Provide insights, recommendations, and other data support to Customer Success and Sales teams to enable retention and help drive customer and revenue growth
• Share analyses, insights, and business decisions to internal (and sometimes external) stakeholders in verbal, visual, and written media
• Provide comprehensive analytics support to partner teams
• Develop tools to empower scalable data access and self-service across the customer-facing organization in order to allow for strategic use of your time and expertise
• Deliver insights and analytics to help business leaders answer critical questions related to the customer lifecycle, customer experience, adoption, expansion, usage, and health

What You'll Bring To Persona

• A minimum of 2+ years of analytical experience in a consulting, data analytics, data science, machine learning, or predictive analytics role
• Proficiency in SQL with hands-on exposure to creating complex queries across multiple database schemas
• Experience creating visualizations based on data using BI tools (e.g. Mode, Tableau, Looker, Periscope, PowerBI or similar)
• Fluency with statistics techniques to structure analyses and provide insights (e.g. statistical tests, AB testing)
• Exceptional problem-solving skills, logical thinking, and familiarity with big data and numbers
• Passion for solving complex customer problems through data analytics and insights
• Outstanding attention to detail with a focus on data quality and integrity
• Self-starter who can execute independently as well as through cross-functional partnerships, thrives in ambiguity, and drives work to completion in a timely fashion
• Strong written and verbal communication skills

Bonus points

• Background in Fraud Detection and/or Identity Verification
• Proficient in MS Office Suite with advanced Excel skills including pivot tables, macros, PowerPivots, and advanced functions
• Experience with Python, especially with one or more of the following Python packages – Pandas, Jupyter, or SCIKIT
• Experience orchestrating data transformations in an ETL/ELT process via Airflow or DBT
• Strong desire to understand and stay ahead of industry trends and new ways of leveraging data to show value to customers