• Partner with Product and Operations to shape strategy for the Host Camp • Co-design experiments • Keep the Camp's key performance metrics visible • Use AI throughout your analytical workflow • Partner with Data Engineering to build our AI-powered analytics platform

Role Description We are looking for a Product Analyst focused on customer adoption, usage, impact, and sentiment to help our teams understand how customers experience SmartRecruiters in the real world – and how that translates into measurable value. In this role, you will work closely with some of our largest customers and internal stakeholders (Product, Product Marketing, Customer Success, Sales, and Data teams) to design metrics, build analytical views, and deliver clear, compelling insights on: - Adoption of key features and workflows - Usage depth and quality across personas and segments - Business impact (efficiency, time saved, hiring outcomes, ROI) - Sentiment and satisfaction across feedback channels You’ll combine strong product analytics skills with AI-backed analysis to move quickly from raw data to decisions, and turn complex signals into simple, customer-ready narratives. What You’ll Deliver - Customer-facing product insights & value stories - Partner with Customer Success, Sales, and Product to build analyses that show how customers are adopting and using key capabilities (e.g., automation, AI features, messaging, reporting) and what outcomes they are achieving. - Create reusable analytical frameworks and templates that can be applied across customers (e.g., time saved, recruiter capacity unlocked, improvements in time-to-hire, conversion rates). - Adoption, usage, impact, and sentiment frameworks - Define and refine hero metrics and supporting KPIs for core product areas, with a specific focus on adoption, usage quality, customer impact, and sentiment. - Design metric definitions and documentation that are easy to understand and reuse across Product, GTM, and Exec audiences. - Deep dives and decision support - Lead hypothesis-driven deep dives on product performance (e.g., feature launches, AI capabilities, automation workflows), combining quantitative data with qualitative signals to explain what’s happening and why. - Translate findings into clear recommendations and influence product and go-to-market decisions. - Instrumentation and tracking quality - Collaborate with Product Managers and Engineers to ensure we have the right event tracking and data structures to measure adoption, usage, impact, and sentiment. - Review tracking proposals, validate events in test environments, and raise/track data quality issues where needed. - Dashboards, tools, and self-serve views - Build and maintain robust dashboards and reports that make it easy for stakeholders to monitor adoption, usage, impact, and sentiment across customers and cohorts. - Work with Product and CS to ensure these assets are understood, trusted, and actively used. - AI-backed analysis and workflows - Use AI tools and copilots to explore large datasets, generate hypotheses, summarise patterns, and accelerate routine analytical tasks. - Experiment with LLM-based approaches (e.g., natural-language exploration of metrics, automated insight generation, clustering of feedback and sentiment) and help define best practices for AI-assisted product analytics. - Storytelling and enablement - Turn complex analyses into concise, compelling narratives for QBRs, product updates, customer-facing decks, and internal decision forums. - Enable colleagues (PMs, CSMs, Sales, Product Ops) to reuse your work through clear documentation and playbooks. Qualifications - 3+ years in Product Analytics, Data Analytics, or a similar role within a B2B SaaS or product-led organisation. - Demonstrated experience analysing adoption, usage, and impact of product features; comfortable linking product behaviour to business outcomes (e.g., efficiency, time-to-hire, conversion, ROI). - Strong SQL skills and experience working with large datasets in modern warehouses (e.g., BigQuery, Snowflake, Redshift). - Hands-on experience with BI / visualisation tools (e.g., Looker/Looker Studio, Tableau, Power BI) to build dashboards and reports. - Experience with event tracking and product analytics concepts (event schemas, taxonomies, funnels, cohorts, retention). - Practical experience using AI tools (e.g., ChatGPT, Gemini, Cursor, or similar) to accelerate analysis – from query generation and code review to summarising findings and exploring hypotheses. - Ability to design effective prompts and workflows that combine LLMs with SQL/BI tools to speed up discovery while maintaining rigour. - Comfortable evaluating when AI-generated insights are directionally useful vs. when deeper manual/statistical analysis is required. - Strong quantitative reasoning; able to structure problems, choose appropriate methods, and interpret results carefully. - Familiarity with A/B testing, experimentation, or causal inference concepts (you know the difference between correlation and causation and when it matters). - Excellent communication skills; able to translate complex data into clear, concise stories tailored to Product, GTM, and customer audiences. - Proven experience working cross-functionally with Product, Engineering, and customer-facing teams. - Comfortable working directly with customers to understand context, present findings, and refine analyses. Nice to Have - Experience in HRTech / Talent Acquisition or adjacent domains. - Hands-on experience with Python or R for deeper analysis, preferably in combination with AI coding assistants. - Experience analysing sentiment and qualitative feedback (e.g., surveys, tickets, call notes) and combining it with quantitative product usage data. - Experience building benchmarking or health scoring views across a customer base. Additional Information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Your information will be kept confidential according to EEO guidelines.

Title: Senior Product Analyst Location: Dublin Job Description: Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As a Senior Product Analyst, You Will - Influence change by presenting product and customer data-driven insights to product management and senior leadership; confidently present the outcome of your analysis and make recommendations to executives and team leaders. - Be the right hand of product and business leaders in building business cases for new product functionality, and tracking the effectiveness of the functionality over time; monitor key metrics, identify business trends and generate forecasts. - Lead deep-dive analysis that will frame product strategy and product roadmap decisions. - Foster our data-centric, continuous learning culture with your passion for telling stories with data; grow our best practices around reporting quality, data hygiene, and data governance. - Own the design, development, and maintenance of ongoing dashboards and their underlying data sets. - Work collaboratively with product managers and engineers to ensure the right data is generated and collected. You Should Apply If You Have - 5+ years of demonstrated experience working as a data or product analyst, preferably at a growing tech company. - Degree in Industrial Engineering, Statistics, Economics or another quantitative field - Confirmed ability to surface key insights that subsequently drove business changes with measurable lift in performance. - Fluency in common statistical analysis methods; and specifically, the ability to quickly separate data from noise. - Proficiency using SQL and Excel for data querying and manipulation; comfortable using additional data access and analysis tools. - Experience with product analytics methodologies. - Passionate about producing high-quality accurate analytics deliverables. - Ideally, you are experienced in creating and maintaining dashboards using data visualization tools such as Tableau, Looker, or similar. - Self-motivation, proactively going beyond the call of duty. - Creativity and strategic thinking. - The ability to work comfortably in a constantly evolving environment. What makes the Product Analytics department at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions and build the best products that create radical impact. We call it “Own. Solve. Impact.” Our decision-making process at Gong is based on data and not on hunches. Therefore you’ll get an opportunity to play a major part in the company's product strategy and operations and to analyze complex, non-trivial data generated in a fast-moving product, which tens of thousands of users use daily or weekly. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you! About Us We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits. If these considerations are important to you when choosing a work place, we'd love to see you with us. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-OH1

• Serve as Centric PLM site administrator: configure fields, views, exports, and workflows to support the product creation team. • Manage Pimberly (PIM) governance: ensure material data accuracy, field completeness, and seasonal publishing readiness • Build and maintain automated exports (NetSuite, wholesale workbook, DTC channel) and ensure data mapping integrity • Define and enforce data entry standards across the product team; train new team members on systems protocols • Manage Centric custom field development, Sales Channel logic, and seasonal maintenance in coordination with PLM team • Lead Centric Health Check cadence with Centric Customer Success team; own platform roadmap and adoption strategy • Own product compliance program management: care labeling, fiber content accuracy, country-of-origin requirements, and import translations • Maintain CPSIA documentation for youth products and coordinate regulatory review with legal as needed • Manage PFAS compliance program: documentation, vendor statements, historical records (2011–present), and ongoing regulatory monitoring • Maintain CAFTA compliance awareness in collaboration with Materials Managers • Monitor evolving product safety and chemical regulatory requirements (California, EU, federal) and brief team accordingly • Product compliance liaison to support wholesale customer requirements • Own ongoing execution of Stio's EU Digital Product Passport (DPP) program following initial data architecture buildout • Manage F26+BOM label and carrier label requirements tied to DPP compliance • Manage international interior label requirements and ensure accuracy across all market channels. Digital Product Passport regulations. • Monitor EU regulatory updates (CSRD, ESPR, DPP) and translate into actionable requirements for the product team • Coordinate with Operations and Legal on reporting timelines and data submission requirements • Own preferred materials certification audit program: RDS, RWS, GRS, GOTS — coordinate with suppliers and track certification status • Manage RDS Transaction Certificate collection for down-filling styles each season; maintain Stio Mass Balance Sheet • Execute Scope 3.1 (purchased goods and materials) carbon data collection in coordination with Climate Impact Partners • Support Preferred Materials data compilation and reporting for brand transparency commitments • Manage BEE tool and/or Change Climate sustainability measurement platform(s) • Lead OIA/CAC Annual Survey completion and cross-functional data gathering • Coordinate sustainability committee participation and cross-functional alignment on sustainability goals • Candidate must be familiar with HIGG/Worldly or change climate project (B-Tools) • Own EPA PFAS Rule & Report compliance: data compilation, documentation of production volumes, disposal, and hazards from 2011 to present • Maintain awareness of California SB 253 (Climate Corporate Data Accountability Act) and CSRD obligations; partner with Legal on reporting readiness • Serve as the internal point of contact for regulatory inquiries related to materials chemistry and environmental compliance