• Lead the development and implementation of Sumer’s firmwide audit data, and innovation strategy. • Identify how standardised audit data can be leveraged to improve audit quality, insight and operational performance. • Support integrated, automated monitoring of KPIs through the design of the integration of existing dashboards and reporting solutions (e.g. audit quality indicators and adoption metrics) to monitor adoption. • Work with the wider audit quality team to ensure training relevant to automation meets the evolving needs of our auditors. • Identify and develop tools and solutions that deliver real value, maintaining and prioritising a back-log in a way that maximises benefits. • Drive continuous improvement through automation, helping teams reduce manual effort, increase consistency and focus on areas of professional judgement. • Lead pilots and rollout of AI and automation solutions, including low-code tools and workflow automation platforms. • Help drive a culture of innovation within Sumer, delivering initiatives that bring our auditors on the transformation journey. • Work closely with IT and audit teams to design and implement integrations across audit systems and tooling that support automation. • Build and harness API-driven solutions to improve data extraction, transformation and analysis. • Set up and test new data connections and workflows, taking innovative solutions through review and implementation. • Support the development of governance frameworks for AI and automation within audit, ensuring alignment with policy, regulation and best practice. • Exercise judgement to ensure solutions put in place manage risk and traceability depending on the output. • Translate innovation concepts into scalable solutions embedded into day-to-day audit workflows. • Engage and influence stakeholders across audit, IT and leadership to drive adoption and successful delivery. • Continuously assess emerging technologies and identify opportunities to enhance audit quality and efficiency.

• Lead the development of integrated reporting and analytics across paid search, paid social, programmatic, GA4, SEO, and retail media platforms. • Build advanced dashboards and provide data-driven recommendations to optimize media investment and strategy. • Analyze complex datasets to identify media performance trends and optimization opportunities. • Support media planning by providing actionable insights and collaborating with internal teams and external agency partners. • Present findings and recommendations to senior leadership and cross-functional teams. • Ensure data accuracy, process efficiency, and scalability across analytics initiatives. • Stay current on industry trends in media analytics, business intelligence, and emerging media platforms.

Role Description Do you love turning complex go-to-market data into clear recommendations that actually move pipeline, conversion, and revenue? And are you the kind of person who does not stop at the analysis, but actively partners with Marketing, Sales, and RevOps to turn insights into action? Then this is the right role for you! - You lead end-to-end analytical projects with high business relevance across our go-to-market funnel and you own the analytical direction from problem framing to recommendation and help drive the implementation. - You turn data into clear strategic recommendations and business narratives for stakeholders from Marketing, Sales, RevOps and CX: opportunities, risks, concrete next steps, and what to do about them. - You design and orchestrate advanced analyses around funnel performance, conversion, attribution, pipeline dynamics, and growth levers increasingly using AI to do the heavy lifting while you own the judgment and direction. - You build and own a trustworthy data foundation in SQL and dbt: scalable models instead of one-off reporting, structured and documented enough to be agentic-ready for people and AI agents alike. - You support the development of a strong AI-ready semantic layer for GTM analytics: translating business logic into clear metric definitions, trusted dbt models, semantic layer, documentation, and context that enable reliable analysis, self-service, and future AI use cases. - You build new, proactive AI-powered solutions that bring insights directly into the team's workflow for example, a salesperson being coached automatically from their pipeline data and a tailored prompt, instead of waiting for someone to open a dashboard. - You help the whole GTM analytics function level up: you upskill colleagues on working with AI on data, partner with our AI Engineer on agentic workflows, and raise the analytical bar across Marketing, Sales, and RevOps. Qualifications - Solid experience as a Data Analyst in a B2B SaaS environment, with real GTM domain depth on funnel performance, conversion, attribution, and a clear understanding of how Marketing, Sales, and RevOps work together across the funnel. - Strong SQL and dbt: you own a trustworthy, well-modeled data foundation. - You own outcomes, not artifacts: you move from analysis to recommendation to implementation, make sound decisions under ambiguity, and balance speed with analytical rigor. - You partner closely with stakeholders, ask the sharp questions, and challenge assumptions constructively while staying open to better arguments. - You already use AI or LLMs practically in your work: you decompose problems for AI, think about context and data readiness, and direct and validate AI output. Requirements - You enjoy building new, proactive AI-powered solutions, not just dashboards, and like enabling others to work this way. - Hands-on experience with agent frameworks, multi-agent orchestration, or context/prompt engineering, we'll grow you into the deep end together with our AI Engineer. - German is a plus, but the role can be performed in English. Benefits - Flexible working hours and location-independent mobile working, supported by a Germany-wide rail pass (Deutschlandticket) subsidized with 29 euros. - 30 days of vacation (including December 24 and 31) plus additional days off (wedding, relocation, birth). - One volunteering day for a social project that is close to your heart. - Stay fit with the Jobrad bike leasing program and sports offerings from Hansefit or EGYM Wellpass. - Access to the full range of services offered by our mental health partner Bloom. - You will also benefit from additional company health insurance from Allianz. - Monthly professional shoulder and neck massage at the Hanover office. - An annual training budget of currently $800 for courses, books, or coaching. - Regular feedback and development meetings to support you in your career goals. - A clear HERO career plan to enable you to grow internally. - Sensational summer and Christmas parties as well as regular team events. - Annual co-workations with the HERO team within the EU. Your Application Do you see your skills, abilities, and, of course, your personality reflected in the job ad? Perfect! Then send us your detailed application with your salary expectations via the application button. We strongly encourage non-binary and trans* individuals to apply for this position. Severely disabled applicants with equal qualifications will be given preference. Your people of contact: Nicolas (Talent Attraction), Ricarda (Director Data & Insights), Valerie (Team Lead Data & Insights). We look forward to receiving your application! Salary Range: 65.000-85.000 Euro/year

• Analyze marketing performance data to identify trends, optimization opportunities, and key performance drivers. • Evaluate customer acquisition, engagement, and conversion metrics to support marketing strategy. • Design and implement an intelligent lead ingestion framework by automating the lead import process using AI-driven data parsing, validation, and enrichment techniques. This includes building scalable process automation pipelines and developing a user-friendly interface that enables seamless monitoring, control, and interaction with incoming lead data. • Translate complex data into clear insights and recommendations for stakeholders. • Support ad-hoc analysis and proactively identify opportunities for deeper insights. • Write efficient SQL queries to extract, transform, and analyze marketing and enterprise data. • Use Python for data cleaning, automation, and exploratory analysis. • Assist with building and maintaining curated datasets, data models, and data quality checks • Use Claude Code to design interfaces, agents & automation steps • Develop and maintain dashboards and marketing performance reports using BI tools. • Automate recurring reporting processes to improve efficiency and scalability. • Partner with marketing, analytics, data science and data engineering teams to support reporting and data needs. • Document data definitions, logic, and reporting methodologies.