• 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.

Title: Data Science - Analyst 4 remote type Hybrid locations San Jose time type Full time job requisition id R0075494 Job Description: At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Shipping Analytics team drives eBay’s most important shipping initiatives through data-driven insights, advanced analytics, AI, and experimentation. As a global, fast-paced team, they are focused on making shipping at eBay more reliable, accurate, affordable, and seamless for sellers and buyers around the world. This role is an opportunity for a hands-on analytics leader to operate as a strong individual contributor while leading a small team across high-impact initiatives in eBay’s shipping ecosystem. The person in this role will use data, experimentation, and AI to help launch and scale managed shipping solutions, optimize carrier routing, improve delivery performance, and increase adoption of eBay labels. Working closely with Product, Business, Finance, and Engineering partners, they will translate complex logistics data into clear strategies that improve reliability, reduce cost, and grow label profitability globally. What you will accomplish: - Apply advanced analytics, AI, and experimentation to solve complex business problems and improve eBay’s domestic and cross-border shipping experience. - Drive the growth and optimization of eBay’s managed shipping and label platform by defining success metrics, measuring impact, and identifying opportunities to scale globally. - Build predictive models and carrier rate simulations that improve shipping cost, delivery speed, reliability, and sustainability across carrier networks. - Identify friction across the seller shipping and label purchase journey, uncover customer pain points, and recommend product and business improvements that increase label adoption. - Design, execute, and evaluate experiments to inform decisions on product features, pricing, and policy, while partnering cross-functionally to turn insights into measurable outcomes. - Develop scalable data pipelines, dashboards, and AI-powered monitoring solutions that enable faster decisions, improve operational visibility, and detect performance issues in real time. What you will bring: - Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or another quantitative field; advanced degree or MBA is a plus. - 8+ years of experience in data science, analytics, or a related quantitative role, with a track record of independently leading high-impact initiatives end to end. - Strong technical skills in SQL, Excel, and data visualization tools, with working knowledge of Python or R. - Experience in product analytics, experimentation, A/B testing, and causal inference, with the ability to translate analysis into business action. - Demonstrated success applying data science, optimization, and AI techniques to drive measurable business impact; familiarity with modern AI tools and LLMs is preferred. - Strong communication and collaboration skills, with the ability to work effectively across Product, Engineering, Finance, and business teams in a fast-paced environment; experience in logistics, shipping operations, or carrier performance analytics is a plus. Additional Details The base pay range for this position is expected in the range below: $149,200 - $199,200 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.