Role Description We're looking for a Data Analyst to partner closely with our Customer Success and GTM teams and turn data into decisions. You'll own the metrics that matter — acquisition, activation, retention, product usage, expansion, and revenue — and uncover the drivers behind them. You'll build the analyses that shape strategy, identify what influences customer success and growth, and help answer the critical questions: what's working, what isn't, and why. This is a high-ownership, hands-on role for someone who loves digging into data, writes their own code, and ships analysis that changes what the business does next. What You'll Do - Own GTM analytics end-to-end: define, instrument, and report on the funnel — from signup and activation through conversion, expansion, and churn. - Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders. - Partner with other teams like Sales, Marketing and Product to scope questions, run analyses, and translate findings into clear recommendations. - Dig into product usage and revenue data to surface insights on user behavior, cohorts, and monetization. - Write production-quality SQL and Python to model data, automate pipelines, and run analyses at scale. - Design and evaluate experiments (A/B tests) and measure the impact of GTM initiatives. - Define metrics and a shared source of truth; bring rigor and clarity to how we measure success. Qualifications - 5+ years of experience as a Data Analyst (or equivalent). - 2+ years working in a SaaS company. - Hands-on experience as a CS / Sales / Marketing / Business / Product analyst — you understand funnels, cohorts, conversion, retention, and the metrics that drive a SaaS business. - Strong hands-on experience using Python for data analysis, experimentation, and data modeling in a production environment. - Strong SQL and comfort working with large, messy datasets. - Strong communication: you can turn analysis into a clear, compelling story for non-technical stakeholders. - Statistical foundation for experimentation and causal inference. - BSc in Statistics/Math/CS or equivalent. - Familiarity with modern data tooling (Snowflake/BigQuery, dbt, Airflow, BI tools like Omni/Looker/Tableau). - Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders. Requirements - A track record of building your own projects - a GitHub profile, portfolio, side projects, or other evidence that you build things independently. - Experience at an API-first, developer-focused, or PLG (product-led growth) company. - Experience with product analytics platforms (PostHog, Amplitude, Mixpanel). - Exposure to ML or working alongside data science teams. - MSc in Statistic/Math/CS or equivalent. Benefits - Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) plan: Up to 4% company match with immediate vesting. - Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote work reimbursement: Up to $85/month for mobile and internet. - Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range: $109,500 — $136,800 USD

• Own the monitoring of key funnel metrics through reports and dashboards - tracking channel performance, diagnosing deviations, and driving to root cause with minimal guidance • Independently take a defined business problem, analyze it with SQL and Python, quantify drop-off drivers, and deliver a recommendation that accounts for business tradeoffs • Build, update, and maintain dbt data models in Snowflake to enhance and streamline marketing reporting, writing reusable, standards-compliant code • Build and maintain Periscope dashboards, adding charts and metrics that improve visibility across the marketing funnel • Communicate concise, action-oriented recommendations to senior management, tailoring the narrative and visualizations to the audience • Partner with Marketing, Risk, and Engineering to coordinate strategy changes, monitor releases, and conduct post-release impact analysis • Use AI tools to accelerate analysis and development, while critically verifying their output - catching errors, validating logic, and take ownership of correctness • Support the growth of the team through knowledge sharing, code review, and mentoring of junior analysts

• Lead and contribute to deep-dive analysis projects across: Campaign performance, User experience (UX) and behavioral insights, Conversion funnels and e-commerce performance, Product analytics and feature usage, Site pathing and engagement analysis • Conduct A/B test analysis and provide statistically sound recommendations • Design, build, and maintain dashboards: Develop new reporting solutions, Improve existing dashboards and frameworks, Ensure data quality and business alignment • Perform tracking validation and analytics QA: Validate GA4 and GTM implementations, Support site launches and feature releases, Troubleshoot tracking and data inconsistencies • Analyze emerging traffic patterns: AI-driven traffic and AIO content, Traffic sources and behavioral trends, Changes in engagement and performance • Deliver ad-hoc analysis: Translate business questions into structured analyses, Provide actionable insights and recommendations, Support stakeholders across Marketing, Product, and UX

Data Governance Specialist Job ID: 2614236 Location: Washington, DC, United States Category: Information Technology Subcategory: Data Governance Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Public Trust Potential for Remote Work: Remote Job Description: SAIC is looking for a Data Governance Specialist to help monitor intake queues and the shared drive for incoming GAO products scheduled for issuance each day - Maintain the Master Reports List using multiple sources. - Coordinate with Publishing, Congressional Relations, and General Counsel on product issue dates and discrepancies - Create and populate product records in the product system for all standard audit products, legal products, and special publications - Attach all required related and supporting files to each record - Apply product-type-specific SOPs for Testimonies, High-Risk Series, Interactive Graphics, Infographics, Videos, and Podcasts - Review metadata records for accuracy, completeness, and correct file associations - Provide structured feedback to indexers and resolve data discrepancies - Contact Publishing, OPA, or product teams to resolve questions arising during QA - Monitor and action ServiceNow tickets daily; create and close tickets as required by workflow Qualifications Required: - BS and 2+ years of related experience (4 years experience in lieu of degree) - Ability to obtain and maintain a public trust requiring U.S. Citizenship. - Experience with metadata management, digital asset management, or library/information science workflows - Demonstrated ability to work in deadline-driven environments with multiple concurrent priorities - Proficiency with Microsoft Office 365 (Outlook, Word, Excel) - Strong attention to detail -- metadata accuracy directly affects Congressional distribution and public search results - Clear written communication skills for coordinating across Publishing, Congressional Relations, Legal, and Web Operations teams Desired: - Familiarity with GAO publishing systems: PMR, BDE, IDBM, DocDB, ServiceNow - Understanding of federal publishing product types (audit reports, testimonies, legal decisions, special publications) - Experience with taxonomy or indexing (subject terms, contributors, organizations, identifiers) - Exposure to automation tools or scripting for metadata processing or PDF optimization Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. Overview SAIC accepts applications on an ongoing basis and there is no deadline. SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion.