Role Description The Data Analyst will be responsible for transforming data from Stellar Virtual's enterprise systems into meaningful insights that support operational excellence and strategic decision-making. This position will primarily focus on cross-platform reporting, data analysis, and business intelligence, requiring the ability to translate complex data into accurate, actionable reporting that supports leaders across Salesforce, Student Information Systems (SIS), the data warehouse, and other enterprise platforms to fulfill our mission of empowering families and unleashing potential. Essential Duties - Reporting and Business Intelligence: - Design, develop, and maintain reports, dashboards, and data visualizations that provide actionable insights for operational leaders and executive stakeholders. - Partner with cross-functional teams to translate business questions and ad hoc reporting requests into scalable reporting solutions and meaningful performance metrics. - Analyze trends, identify opportunities, and provide data-driven recommendations that support continuous improvement across marketing, enrollment, student support, and academic operations. - Data Quality and Cross-Platform Analysis: - Monitor data quality across Salesforce, Student Information Systems (SIS), the data warehouse, and other enterprise platforms by identifying inconsistencies, anomalies, and opportunities for improvement. - Partner with the Systems Integrations Lead and business stakeholders to validate cross-platform data accuracy and ensure reporting reflects reliable, consistent information. - Develop and maintain standardized data definitions, metric calculations, and reporting methodologies that promote consistency and establish a trusted source of organizational data. - Reporting Governance and Enablement: - Validate new and updated reports, dashboards, and analytics solutions through testing and quality assurance processes prior to deployment. - Develop and maintain reporting documentation, user guides, and training materials that improve organizational understanding and adoption of business intelligence tools. - Promote reporting best practices, data literacy, and self-service analytics by supporting stakeholders in effectively interpreting and utilizing organizational data. Qualifications - A minimum of 2 years of experience in data analysis, business intelligence, reporting, or a related analytical role, preferably in a remote environment. - 2+ years of experience working within K–12 education, virtual education, higher education, or education technology environments, with a strong understanding of student lifecycle processes (enrollment, attendance, support ticketing). - Proven experience working independently with minimal supervision, including the ability to manage a digital task list and maintain a stable remote (home-office) infrastructure. - Minimum of 1–2 years of experience using the Google Workspace suite (Docs, Sheets, Slides, Drive) in a professional or academic setting. - Demonstrated ability to communicate complex ideas via written channels (Email, Google Chat, and Document Comments) with high clarity and low ambiguity. - Access to a private, secure, high-speed internet connection with a minimum of 25 Mbps download and 10 Mbps upload speeds. - Strong experience developing reports, dashboards, and data visualizations using Salesforce reporting tools, SQL, and business intelligence platforms. - Experience analyzing data across multiple enterprise systems and translating business questions into actionable insights and reporting solutions. - Demonstrated understanding of data quality, reporting governance, metric development, and business intelligence best practices. - Strong analytical and problem-solving skills with the ability to identify trends, interpret complex datasets, and communicate findings to technical and non-technical audiences. - Experience working with Salesforce, Student Information Systems (SIS), data warehouses, or comparable enterprise data environments. Education & Certification Requirements - Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, Statistics, or a related field is preferred. - Professional certifications in business intelligence, data analytics, SQL, or reporting platforms are preferred. Benefits - Competitive vacation and paid time off plans. - Comprehensive medical (HMO, HDHP, and PPO), dental, and vision plans with varying coverage for employees and their families, with options available in all states, including a high-deductible health plan (HDHP) option. - 401(k) retirement plan (pre- and post-tax options) with matching contribution up to 3% after one year of employment. - Additional supplemental disability, life, critical illness, hospital indemnity, accident, legal aid, and ID theft protection plans. - Flexible Spending Account (FSA) or Health Savings Account (HSA). - Two paid closure weeks each year (weeks of July 4 and December 25). - 11 Company-paid Holidays. Employment "At-Will" Statement For W-2 employment, Stellar Virtual is an at-will employer. This means the employee and Stellar Virtual can terminate the employment at any time, with or without cause or notice, as legally permitted. This job description does not guarantee continued employment or a contract. All 1099 status is excluded. Equal Employment Opportunity (EEO) Stellar Virtual is an equal opportunity employer committed to diversity and inclusion. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Role Description The Data Entry Specialist plays a critical role in ensuring the accuracy, integrity, and timely processing of participant information within PlanSmart. This position is responsible for reviewing, interpreting, and processing participant documentation across multiple operational queues while maintaining strict adherence to quality standards, compliance requirements, and service level expectations. - Process participant documentation through multiple operational work queues, including Scan Queue, Data Entry Element Queue, Fax Queue, Returned Mail Queue, Manual Audits, Gatekeeping Queue, and CAM Queue. - Review, interpret, and validate participant documentation, including identification records, tax documents, forms, and verification materials. - Accurately extract and enter required data elements into PlanSmart and related systems. - Ensure all transactions meet established quality, compliance, and processing standards. - Identify, research, and escalate discrepancies, incomplete documentation, or processing exceptions. - Maintain data accuracy and integrity while processing high volumes of participant records. - Support audit readiness through thorough and accurate documentation practices. - Adhere to established service level agreements and processing turnaround requirements. - Manage workload effectively while balancing competing priorities and deadlines. - Follow all company policies and procedures related to data privacy, confidentiality, and information security. - Collaborate with team members and leadership to resolve processing issues and improve operational efficiency. - Meet and/or exceed productivity, accuracy, and quality performance expectations. Qualifications - High school diploma or equivalent required. - 1+ years of data entry, document processing, administrative support, or related experience. - Experience working in production-based or high-volume processing environments preferred. - Experience handling confidential or sensitive information preferred. - Strong computer proficiency and experience navigating multiple systems simultaneously. - Working knowledge of Microsoft Office applications, including Outlook, Word, and Excel. - Experience reviewing and interpreting documents for accuracy and completeness. - Ability to work independently while maintaining consistent productivity and quality standards. Requirements - Exceptional attention to detail and commitment to accuracy. - Strong data entry skills with the ability to process information efficiently and accurately. - Ability to interpret scanned images and extract required information from various document types. - Strong organizational and time management skills. - Ability to work effectively in a high-volume, deadline-driven environment. - Analytical thinking and problem-solving skills to identify inconsistencies or missing information. - Ability to apply processing guidelines, business rules, and compliance requirements consistently. - Strong written and verbal communication skills. - Ability to adapt quickly to changing priorities, processes, and business needs. - Demonstrated accountability for quality, productivity, and overall performance. - Ability to maintain focus and accuracy during repetitive processing tasks. - Familiarity with PlanSmart or similar data management systems preferred. - Strong understanding of confidentiality standards and secure handling of sensitive personal information. - Ability to research issues, make appropriate processing decisions, and escalate exceptions when necessary. - Commitment to maintaining a minimum accuracy standard of 99%. Work Conditions - Fast-paced, production-based work environment with high volumes of document review and data entry activities. - Performance measured through productivity, quality, accuracy, timeliness, and compliance metrics. - Standard operational queues are expected to be processed within established service level agreements, including a three-business-day turnaround for standard queues. - CAM Queue determinations must be completed within 30 calendar days. - Requires prolonged periods of computer usage, document review, and data entry. - Regular handling of highly sensitive participant information, including Social Security Numbers, tax documents, names, addresses, and other personally identifiable information. - Strict adherence to data privacy, confidentiality, and security requirements is required at all times.

Role Description Design and build analytic solutions that will inform business decisions, drive operations, measure our performance and demonstrate our value as a company. Serving as a senior individual contributor (IC) technical lead, this role supports the entire Analytics team by establishing analytics best practices, modernizing our data infrastructure, and driving AI-enabled development. This professional acts as a key business and technical partner across Member Outreach, Provider Networks, Gaps in Care, and Clinical Operations stakeholders, ensuring analytic insights and core data architecture are delivered in a way that adds scalable value. - Establish credibility and trusted working partnerships with clinical, operational and research leaders to identify levers for broad system change, pull them, and measure and communicate the results. - Architect and lead hands-on development of complex, enterprise-grade analytics and reporting solutions supporting the entire Analytics organization. - Implement and configure reporting technologies in the Google tech stack (BigQuery, Looker), as well as advanced dbt data modeling and complex SQL. - Design, standardize, and manage enterprise Semantic Models / Context (e.g., dbt Semantic Layer, Looker LookML) to ensure a single source of truth for metrics across business domains. - Champion and embed AI workflows and AI-enabled development tools (e.g., Copilot, LLM-driven query generation, automated documentation) into the daily analytics lifecycle to accelerate team velocity. - Enforce modern analytics engineering standards, including version control (Git), branch strategies, pull request code reviews, and CI/CD testing frameworks. - Perform complex descriptive analyses over production-scale data sets to drive business decisions. Critically interrogate and interpret data to spot patterns and explain data. - Build-out real-time reporting (both tabular and visual) and work with data tooling across Clinical, Product and Market. - Ensure data quality and validation by building automated dbt testing and data cleansing techniques to correct both ad hoc and systemic issues. - Drive automation capabilities into reporting solutions and data pipelines. - Retain and govern our central analytics dbt repository, semantic definitions, and technical documentation. - Documentation and maintenance of domain-specific analytics roadmaps in partnership with team lead analysts. - Serve as a technical mentor and sounding board for analysts across the department, elevating the team's engineering rigor and modern tooling adoption. - Delivery of analytics supporting broad business needs and achieving a high rate of adoption for data-driven recommendations. Qualifications - Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience). - 7+ years of experience in advanced analytics or analytics engineering, delivering scalable solutions in production data environments. - Deep expertise in dbt, complex SQL, and cloud data warehouses (Google Analytics tech stack: BigQuery, Looker highly preferred). - Hands-on experience building and maintaining enterprise Semantic Layers / Models and metrics frameworks. - Proven fluency with software engineering best practices for data teams, including Git / GitHub version control and CI/CD workflows. - Experience leveraging AI workflows & AI-assisted development tools to optimize code generation, data pipeline building, and documentation. - Demonstrated success acting as an IC technical lead, mentoring analysts, and establishing team-wide analytics standards. Requirements - We take into account an individual’s qualifications, skillset, and experience in determining final salary. - This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. - The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location. - The expected salary range for this position is: $110,000.00 - $145,000.00 Annual. Benefits - Cityblock values diversity as a core tenet of the work we do and the populations we serve. - We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic. - We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.

• Process participant documentation through multiple operational work queues, including Scan Queue, Data Entry Element Queue, Fax Queue, Returned Mail Queue, Manual Audits, Gatekeeping Queue, and CAM Queue • Review, interpret, and validate participant documentation, including identification records, tax documents, forms, and verification materials • Accurately extract and enter required data elements into PlanSmart and related systems • Ensure all transactions meet established quality, compliance, and processing standards • Identify, research, and escalate discrepancies, incomplete documentation, or processing exceptions • Maintain data accuracy and integrity while processing high volumes of participant records • Support audit readiness through thorough and accurate documentation practices • Adhere to established service level agreements and processing turnaround requirements • Manage workload effectively while balancing competing priorities and deadlines • Follow all company policies and procedures related to data privacy, confidentiality, and information security • Collaborate with team members and leadership to resolve processing issues and improve operational efficiency • Meet and/or exceed productivity, accuracy, and quality performance expectations