This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is part of the Department of Veterans Affairs (VA), Veterans Crisis Line (VCL). The candidate serves as a critical member of team Integrity but will also support all other Crisis Operations (Crisis Ops) Teams. They will be responsible for reporting data for Crisis Ops to VCL leadership and the Office of Suicide Prevention with daily, weekly and monthly reports on new employees, precepting, supervision, performance monitors and more. - Conducts reviews and analyses of Clinical Ops functions/programs. - Gathers, develops and interprets data from available information systems. - Utilizes all VCL data resources to develop an understanding of how databases and reports are organized. - Provides data tracking and interpretation across teams and shifts regarding Key Performance Indicators (KPIs). - Serves as clinical operation liaison between Clinical Ops and the data analytic team. - Develops and maintains templates and formats for Clinical Ops leadership. - Completes agenda and minutes for ad-hoc meetings and cascades this information throughout Clinical Ops. - Submits notes and minutes to the meeting facilitator for review, approval, and dissemination. - Actively schedules, updates, and monitors the status of tasks and/or projects assigned to members of clinical operations staff members. - Reports challenges to deadline adherence to Assistant Deputy Directors. - Communicates and tracks daily outcomes, including KPIs, meetings, and schedule coverage. - Tracks all suspense items within the responsibility of Clinical Ops or as assigned. - Provides organizational support to the Division Directors and Team Operations Coordinators. - Performs other duties as assigned. Qualifications - To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 03/18/2026. - Time-In-Grade Requirement: Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. - For a GS-09 position, you must have served 52 weeks at the GS-07. - An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. - If qualifying based on experience and/or education, you must meet 4/5 of the following examples of specialized experience: - Gathering, developing and interpreting data from available information systems. - Providing data tracking and interpretation across teams and shifts regarding Key Performance Indicators (KPIs). - Serving as liaison between departments and the data analytics team. - Developing and maintaining templates and formats for leadership. - Completing agenda and minutes for ad-hoc meetings and cascading this information throughout the department. - Submitting notes and minutes to the meeting facilitators for review, approval, and dissemination. - Actively scheduling, updating, and monitoring the status of tasks and/or projects assigned to staff members. - Reporting challenges to deadline adherence. Requirements - GS-9 Specialized Experience: You must have one full year of specialized experience equivalent to at least the next lower grade level (GS-7) in the Federal service. - GS-9 Education: Applicants may substitute education for the required experience. - To qualify based on education for this grade level, you must have a master's or equivalent graduate degree, or 2 full years of progressively higher level graduate education leading to such a degree, or LL.B. or J.D., if related. (TRANSCRIPTS ARE REQUIRED) - GS-9 Combination of Education and Experience: Applicants may also combine education and experience to qualify at this level. Benefits - Work Schedule: Monday-Friday 8am-4:30pm; or as negotiated. - Compressed/Flexible: May be available. - Virtual: This is a virtual position. - Relocation/Recruitment Incentives: Not authorized. - Critical Skills Incentive (CSI): Not authorized. - Permanent Change of Station (PCS): Not authorized. - PCS Appraised Value Offer (AVO): Not authorized.

• Design and implement scalable data pipelines within Databricks • Structure and ingest HR data from multiple Prosus portfolio companies • Implement Medallion Architecture (Bronze / Silver / Gold layers) to ensure scalable and governed data flows • Build and maintain pipelines using Python and PySpark • Translate business data requirements into scalable data engineering solutions • Collaborate with stakeholders across the group to define data structures, ingestion patterns, and data standards • Ensure data pipelines support analytics, reporting, and AI use cases

• Design, implement, and operate cloud-native data pipelines on AWS. • Build and maintain scalable ETL workflows, data lakes, and data mesh components. • Develop and optimize PySpark jobs for large-scale and time-series data. • Manage schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation. • Collaborate closely with data platform, analytics, and product teams.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re hiring our first dedicated data hire to bring ownership, rigor, trust, and access to the data our team depends on every day. If you’re energized by building things from scratch and want your work to directly shape how a mission-driven company makes decisions, this one’s for you. You will own AI-assisted data analytics to democratize access to insights across the entire team. Responsibilities - Own our data pipeline and platform, enabling data analytics across the organization. - Build and maintain an AI-ready semantic layer on top of dbt, so non-technical teams can query company data via natural language tools. - Own canonical metric definitions for all key business metrics, tested and documented in dbt. - Reconcile metrics across sources to establish a single source of truth. - Author and maintain dbt models across staging, intermediate, and mart layers using software engineering best practices. - Govern Amplitude instrumentation: define our event taxonomy, QA, and maintain our instrumentation spec. - Support experiment readouts with a consistent analysis framework and a clear point of view for A/B tests. - Use AI tools as a multiplier across analytics workflows (e.g., SQL authoring, dbt refactoring, testing, root cause analysis). - Modernize our analytics pipeline: deprecate legacy dependencies and build alerting and monitoring infrastructure. - Build and maintain channel attribution mapping - UTM governance, cross-channel QA, and attribution consistency. Qualifications - 3 - 6 years in analytics, data, or analytics engineering; startup or high-growth experience preferred. - A structured thinker who traces problems upstream and builds systems rather than point fixes. - Strong SQL: DRY, performant, readable; you write CTEs and window functions naturally. - Fluent in dbt: you understand model layer conventions and treat analytics code like software code. - Deep experience with Amplitude: you’ve governed instrumentation at scale, not just queried events. - Actively using AI tools in your analytics workflow (Cursor, Claude, dbt Copilot, or similar). - Familiarity with Prefect, Metabase, and BigQuery a plus. - Comfortable reading Go (or similar backend) code for the purpose of scoping data tables and understanding event structures. Personal Characteristics - Ownership-oriented - you define the standard, you don’t wait to be handed one. - Intellectually curious and always learning. - A clear communicator who can make data complexity accessible to non-technical partners. - Comfortable with ambiguity and energized by building from scratch. - Collaborative and kind - you take the work seriously without taking yourself too seriously. - Inspired by our mission of changing the world of family planning and empowering people through the fertility journey. Our Stack Our platform runs on React, Go, and Postgres. Data is moved into BigQuery through custom ingestion pipelines, transformed with dbt, orchestrated with Prefect, and surfaced through Amplitude and Metabase. We occasionally use Zapier for lightweight SaaS integrations and operational automations. Company Description We are a fully remote team and are spread out across the coasts. Since we’re located all over the country, communication using Slack, Gmail, Zoom, and other tools is key. We communicate regularly throughout the day, and you’ll never be alone. We believe in giving our team members autonomy, and place value on the output of each team member. Above all, we’re proud to engage in meaningful work that will impact tons of people throughout the family-building process. We are an equal opportunity employer. Individuals seeking employment at our company are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Additionally, we encourage candidates who have non-traditional/diverse backgrounds to apply. Candidates who have been challenged or chosen to challenge themselves in unique ways, but may not fit all specified criteria are still encouraged to apply and share why this is such a compelling opportunity for you.