Business Insights Analyst - Member Operations

McLean, Virginia

ID.me

ID.me Wallet simplifies how individuals discover and access benefits and services through a single login and verified identity.

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Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/.

Role Overview

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

This opportunity is located onsite at ID.me’s headquarters in McLean, Virginia 5 days a week and is not able to be done remotely. 

Responsibilities:

  • Work collaboratively with the Member and Product Operations teams to define and analyze metrics to 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, 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 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 converting 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

Education and Experience:

  • Minimum 3 years experience in a business analysis, data analytics, business analytics, statistical modeling role or closely related field
  • Bachelor’s degree or higher required; in Engineering, Computer Science, Data Analytics, Mathematics, Statistics, Economics, or a related quantitative discipline
  • Experience within management consulting is a plus
  • Experience at a fast-paced startup is a plus

Required Skills & Competencies:

  • 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 Looker
  • Demonstrating statistical modeling, applied mathematics or STEM; R or Python
  • Demonstrating data querying, exploration, and validation; SQL and DBT
  • Excellent verbal communication and writing skills, with the ability to distill complex information into clear, engaging content
  • 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

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care 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. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Business Analytics Computer Science Consulting Data analysis Data Analytics Data visualization dbt Economics Engineering KPIs Looker Mathematics Privacy Python R SQL Statistical modeling Statistics STEM Tableau

Perks/benefits: Medical leave Startup environment

Region: North America
Country: United States

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