Lead Business Insights Analyst - Mc Lean - ID

Description

is the next‐generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600 consumer brands use to verify communities and user segments to honor service and build more authentic relationships. 's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST IAL2 / AAL2 credential service provider by the Kantara Initiative. is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.

We're seeking a detail‐oriented Lead Business Insights Analyst to partner closely with our Operations team. In this role, you will rapidly deliver insights, develop and refine key metrics, and contribute to cross‐functional process improvements that scale data‐driven insights to support our rapid growth.

Business Insights Responsibilities

• Work collaboratively with the Member and Product Operations teams to define and analyze metrics that track the success of the overall business with a primary focus on member experience, service levels, and cross‐functional business performance.
• Improve business understanding of our members, products, and profitability through data analysis, data visualization, and storytelling techniques.
• Drive cross‐functional and enterprise‐wide solutions, providing thought leadership within and beyond the working group.
• Convey business insights derived from analysis and dashboards to influence decisions/outcomes by 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 convert business requirements into datasets, analyses, models, and dashboards.
• Interpret data with business context 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 as needed across a diverse set of teams and needs to support existing customers, future sales, and strategic business decisions.
• Work cross‐functionally with the Data Engineering, Analytics Engineering and Data Science teams.

Basic Qualifications

• 5+ years in data analytics.
• Bachelor's degree in a quantitative field such as Accounting, Economics, Engineering, Finance, Math, Statistics or similar.
• 5+ years of experience with SQL data manipulation, using an ETL tool such as dbt, and experience building models in Excel.

Preferred Qualifications

• 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.
• Excellent verbal and written communication skills: ability to present complex data in a digestible format to stakeholders of all data literacy levels.
• Comfortable creating dashboards in a BI framework such as Sigma, Snowflake, Metabase or comparable tools.
• Ability to handle multiple projects simultaneously: superb time management and prioritization ability.
• Ability to work independently and autonomously, as well as part of a team.
• Demonstrating statistical modeling, applied mathematics or STEM; R or Python.
• Experience in a hyper‐growth company and consulting.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full‐time in‐office attendance.

maintains a work environment free from discrimination. All employees and applicants are treated with dignity and respect. We do not discriminate on the basis of age, ancestry, color, family or medical leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

participates in E‐Verify.