Data Analyst

Role Overview

ID.me is the most trusted digital identity network, providing mobile and online identity verification SaaS technology in the U.S. Our mission is to make the world a more trusted place by facilitating transparent, efficient, and secure interactions between people and organizations. With over 117M members and counting, we’re just getting started. 

We’re looking for a detail-oriented Data Analyst to work with our Member Operations team. This person will quickly deliver insights, review and develop metrics, and contribute to improved business processes to scale analytics that support our explosive growth. 

Responsibilities

• Work collaboratively with the Member Operations team to define and analyze metrics to track the success of the business with a primary focus on member experience, service levels, and business performance
• Improve business understanding of our members, our products, and our profitability through data analysis, data visualization, and storytelling techniques 
• Drive cross-functional and enterprise-wide solutions, providing thought leadership within and beyond working group
• Convey insights and impact decisions/outcomes to senior leadership
• Design dashboards to monitor KPIs and business metrics in a readable and digestible format that allows quick insights into performance
• Frame business problems in analytical language and converting business requirements into datasets, analyses, models, and reports
• Interpret data to discover patterns and identify trends that support growth and increase efficiencies, implementing enhancements to address control gaps
• Build and automate tools to surface key data to stakeholders across a broad range of data literacy levels
• Provide ad hoc analysis and forecasting as needed across a diverse set of teams and needs to support existing customers, future sales, and strategic business decisions
• Provide support to the Data Engineering and Data Science teams

Qualifications

• 1 years experience in data analytics, business analytics, statistical modeling, or related field
• BS/BA degree required, with a degree in engineering, computer science, data analytics, mathematics, statistics, economics, or related quantitative discipline preferred
• Management consulting experience is a plus
• Results-oriented mindset with an intense focus on achieving both short and long-term goals
• A proven track record of problem-solving based on analytics to support business recommendations
• Strong written and verbal communication skills and comfort engaging with senior leadership
• Experience at a fast-paced startup is a plus
• Demonstrating the ability to tell stories with data through the use of data visualization, dashboards and/or slides calling out key data insights; Tableau and Lookr
• Demonstrating statistical modeling, applied mathematics or STEM; R or Python
• Demonstrating data querying, exploration, and validation; SQL and DBT

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