Role Description Hey! 👋 Ich bin Julian, 27, Gründer von retentionclub - einer Klaviyo-Agentur für E-Commerce Brands. Neben der Agenturarbeit baue ich gerade meine Personal Brand auf. LinkedIn, Instagram, YouTube, TikTok - das volle Programm. Aktuell arbeite ich dafür mit professionellen externen Dienstleistern. Wenn sich die Möglichkeit ergeben würde, würde ich es aber auch anders lösen. Wenn das für dich interessant klingt, hättest du dadurch die Chance noch innerhalb deines Studiums die erste große Case Study zu erzielen. Jemand, der nah dran ist, mitdenkt und mit mir zusammen Content auf ein Level bringt, das auffällt. Kein 08/15-Social-Media-Praktikum, sondern echte Verantwortung ab Tag 1. - Du schneidest und produzierst Short-Form und Long-Form Video Content für LinkedIn, Instagram, YouTube & TikTok - Du entwickelst gemeinsam mit mir Content-Ideen, Formate und Serien weiter - Du sorgst dafür, dass jedes Posting visuell sitzt - Thumbnails, Captions, Hooks - Du planst und schedulest Content über alle Kanäle - Du behältst Trends im Blick und bringst eigene Ideen ein - Du hilfst beim Aufbau eines Systems, das langfristig skaliert - nicht nur beim Abarbeiten Qualifications - Du studierst aktuell im Bereich Marketing, Medien, Kommunikation oder etwas Vergleichbares - Du kannst cutten. CapCut, Premiere, DaVinci - mindestens ein Tool beherrschst du sicher - Du hast ein Auge für Ästhetik und verstehst, warum manche Reels 500 Views und andere 500k bekommen - Du bist auf Social Media zuhause und konsumierst nicht nur, sondern analysierst - Du arbeitest eigenständig, bist zuverlässig und brauchst nicht für jeden Schritt eine Freigabe - Bonus: Du hast schon mal einen eigenen Account oder ein Projekt aufgebaut Benefits - Maximales Vertrauen und echte Verantwortung - kein Kaffeekochen, kein Zusehen - Eine echte Case Study, die du nach dem Studium vorzeigen kannst: "Ich habe die Personal Brand eines Agentur-Gründers mit aufgebaut" - Direkte Zusammenarbeit mit mir - kurze Wege, schnelle Entscheidungen, kein Konzern-Overhead - Einblick in die Welt von E-Commerce, CRM und Agentur-Business - Komplett remote, Arbeitszeiten komplett flexibel Company Description Ich bin Julian, Gründer von retentionclub – und irgendwie hat sich aus einer einzelnen Idee ein kleines, aber feines CRM-Powerhouse entwickelt. Heute unterstützen wir E-Commerce-Brands dabei, mehr aus ihren Kundenbeziehungen herauszuholen – mit Strategie, Daten, Emotion und einem klaren Fokus auf Klaviyo. Ich selbst komme aus dem E-Com-Bereich, hab alles gesehen – von Startups bis zu 7-stelligen Stores – und irgendwann gemerkt: Die meisten verlieren ihre Kunden, weil sie sich nur auf Ads konzentrieren. Also hab ich angefangen, das zu ändern. Wenn du Lust hast, mit mir an echten Projekten zu arbeiten (statt PowerPoints zu basteln), deine eigenen Ideen einzubringen und direkt siehst, was du bewirkst – dann passt du perfekt hier rein.

Role Description We are seeking a highly analytical and business-oriented Data Business Analyst with expertise in Business Intelligence, Data Analytics, Reporting, and Stakeholder Management. The ideal candidate will be responsible for transforming complex business data into actionable insights, supporting strategic decision-making, and driving operational efficiency through scalable data solutions. The candidate should have strong experience in data analysis, dashboard development, KPI reporting, and collaborating with cross-functional business and technology teams. Experience in Healthcare domain and multi-cloud analytics environments is highly preferred. Key Responsibilities: - Gather, analyze, and document business requirements from stakeholders across multiple business functions. - Develop and maintain Business Intelligence dashboards, reports, and visualizations using Tableau, Power BI, QuickSight, or Cognos. - Perform data analysis to identify trends, business opportunities, operational gaps, and performance improvements. - Define, track, and monitor KPIs and business metrics to support strategic objectives. - Collaborate with Data Engineering, Product, Program, and Business teams to deliver analytics and reporting solutions. - Conduct root cause analysis and provide data-driven recommendations for business challenges. - Support healthcare analytics, pricing analysis, operational reporting, and business performance initiatives. - Build and optimize SQL queries for data extraction, validation, and reporting purposes. - Ensure data governance, data quality, security, and compliance standards are maintained. - Drive reporting automation and process optimization initiatives to improve efficiency and productivity. - Prepare executive dashboards, presentations, and analytical insights for leadership teams. - Participate in Agile ceremonies, stakeholder meetings, sprint planning, and requirement discussions. Qualifications - Strong expertise in SQL and Advanced Excel - Hands-on experience with Tableau, Power BI, QuickSight, or Cognos - Experience working in multi-cloud environments including AWS and GCP - Strong experience with AWS services such as Redshift, Athena, S3, and Glue - Understanding of ETL/ELT processes, Data Warehousing, and Data Modeling concepts - Familiarity with Python, R, or analytics scripting is an added advantage - Healthcare domain experience is preferred - Experience working with healthcare analytics, Revenue Cycle Management, operational reporting, or healthcare data platforms is an added advantage - Strong communication and presentation skills - Stakeholder management and cross-functional collaboration - Strong analytical and problem-solving abilities - Ability to work effectively in fast-paced and ambiguous environments Requirements - Strong expertise in SQL and Advanced Excel - Hands-on experience with Tableau, Power BI, QuickSight, or Cognos - Experience working in multi-cloud environments including AWS and GCP - Strong experience with AWS services such as Redshift, Athena, S3, and Glue - Understanding of ETL/ELT processes, Data Warehousing, and Data Modeling concepts - Familiarity with Python, R, or analytics scripting is an added advantage Benefits - Candidate should be comfortable working remotely in EST time zone.

Title: Sr. Marketing Analytics Manager Location: Austin | Chicago | New York City | Salt Lake City | San Francisco 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. 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. We’re looking for a sharp, analytically minded marketing analytics professional to help power Gong’s marketing engine with data. As Senior Marketing Analytics Manager, you will own the dashboards, models, and analyses that help marketing leaders understand what’s working, optimize spend, and drive pipeline growth. You will partner with Growth & Demand, Corporate Marketing, Product Marketing, RevOps, and Finance. What sets you apart is your blend of analytical depth and marketing intuition—you’re comfortable working with data, building reporting and measurement frameworks, and digging into the details, and you know how to translate findings into clear recommendations. This role is ideal for someone who wants to pair strong analytical skills with meaningful strategic impact. RESPONSIBILITIES Build & Maintain Marketing Analytics Infrastructure - Own the marketing analytics stack—build and maintain dashboards and reports that track pipeline, campaign performance, funnel conversion, and ROI - Write and optimize queries to extract, transform, and model marketing data across CRM, marketing automation, web analytics, and internal data sources - Develop and maintain attribution models, lead scoring logic, and funnel stage definitions in partnership with RevOps - Ensure data quality and integrity across marketing data sources; troubleshoot discrepancies and build validation checks Deliver Actionable Analysis & Insights - Conduct deep-dive analyses on campaign effectiveness, channel mix, audience segmentation, and pipeline contribution - Build cohort analyses, regression models, or predictive models to identify what drives conversion and retention across marketing-sourced pipeline - Create weekly and monthly performance reports for marketing leadership, including executive-ready summaries with clear takeaways - Proactively surface trends, anomalies, and opportunities—don’t wait to be asked Support Planning & Performance Management - Partner with Finance and Marketing leadership on budget planning, forecast models, and investment scenario analysis - Help translate business goals into measurable marketing targets and OKRs - Track progress against targets and flag risks or opportunities in real-time Collaborate Across Teams - Work closely with RevOps on CRM data, lead routing logic, and attribution alignment - Partner with Demand Gen and Growth teams to design measurement frameworks for campaigns and experiments - Support Product Marketing with competitive analysis, win/loss data, and market segmentation insights QUALIFICATIONS - 8+ years in marketing analytics, growth analytics, or a related quantitative role, preferably in B2B SaaS - SQL proficiency and comfort working with data directly - Experience with BI/visualization tools such as Tableau, Looker, Power BI, or Hex - Working knowledge of Salesforce, Marketo or HubSpot, and modern data stacks (Snowflake, dbt, etc.) - Experience with attribution modeling, funnel analytics, and campaign measurement - Familiarity with GA4, web analytics, and digital marketing data - Proven ability to communicate analytical findings to non-technical stakeholders - Experience supporting marketing planning cycles including budgeting, forecasting, and OKR setting is a plus YOU ARE - Analytical Thinker: You enjoy working with data and aren’t afraid to roll up your sleeves when needed. You’re energized by finding the story in the numbers. - Data Fluent: You’re proficient in SQL and comfortable navigating cloud data warehouses to get the answers you need. - Analytically Rigorous: You understand statistical concepts, can build sound models, and know when a finding is signal vs. noise. - Clear Communicator: You translate technical findings into business language that marketers and executives can act on. - Proactive Problem-Solver: You don’t just answer the question asked—you dig into why it matters and what to do about it. - Collaborative Partner: You work well across functions and build trust with stakeholders through reliability and quality. PERKS & BENEFITS - We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. - Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. - Mental Health benefits with covered therapy and coaching. - 401(k) program to help you invest in your future. - Education & learning stipend for personal growth and development. - Flexible vacation time to promote a healthy work-life blend. - Paid parental leave to support you and your family. - Company-wide recharge days each quarter. - Work from home stipend to help you succeed in a remote environment. The annual salary hiring range for this position is $138,000 - $210,000 USD. Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

• Conduzir a engenharia de requisitos para projetos de dados, elaborando Especificações Funcionais e Técnicas com foco em valor de negócio, regras de transformação, critérios de aceite e rastreabilidade das informações. • Atuar no levantamento e mapeamento de processos complexos junto às áreas de negócio, identificando fluxos, exceções, dependências e oportunidades de melhoria por meio de frameworks como BPMN, SIPOC e UML. • Traduzir necessidades de negócio em soluções técnicas escaláveis para times de engenharia e analytics, garantindo alinhamento entre stakeholders funcionais e técnicos. • Definir e documentar arquiteturas de consumo de dados, incluindo modelagem dimensional, definição de grão, tabelas fato e dimensões em estruturas Star Schema e Snowflake. • Apoiar iniciativas de BI e DataViz, estruturando frameworks de consumo e visualização de dados em ferramentas corporativas como Power BI. • Realizar análises e validações de dados utilizando SQL para exploração, homologação, cruzamento de informações e validação de hipóteses. • Atuar em ambientes ágeis, participando da quebra de Features em User Stories, refinamentos, planejamento de entregas e acompanhamento contínuo entre negócio e engenharia. • Facilitar discussões entre diferentes áreas da empresa para alinhamento conceitual de indicadores, métricas e regras de negócio. • Assumir postura consultiva, questionando demandas e propondo soluções que atendam ao problema raiz do negócio, garantindo entregas com impacto e valor agregado. • Liderar processos de descoberta de informação em ambientes complexos, incluindo sistemas legados e cenários com pouca documentação.