Senior GTM Data Analyst

To achieve this, we're looking for a Senior GTM Data Analyst (f/m/d) to join our Revenue Operations team! In this role, you'll sit at the intersection of data science, BI analytics, and SaaS GTM strategy, owning our Tableau platform end-to-end, and driving our BI strategy. As such, you'll work alongside Data Engineers and BI Analysts but take point on analytics strategy, storytelling, and execution, ensuring our SaaS GTM teams always have clarity on performance, risks, and opportunities., * BI Ownership & Tableau Leadership: Own Tableau (Desktop, Prep, Server/Cloud): build, optimize, and govern dashboards; establish best practices; ensure performance and scalability

• Drive Tableau Adoption: Enable trust and reliance on reporting across GTM teams, from executives to front-line managers
• Analytics & Data Science: Own end to end GTM analytics (funnel, pipeline, conversion, churn/retention, CARR, NRR, GRR, LTV/CAC) and apply techniques such as predictive modeling, cohort analysis, segmentation, and forecasting
• GTM Insights & Storytelling: Run deep-dives into Sales performance trends, identify leading vs. lagging indicators, and translate findings into clear business stories and recommendations for leadership
• Data Infrastructure & Governance: Partner with Data Engineers on pipelines/models across Salesforce, marketing automation, finance, and product usage; ensure data quality and governance with modern data stack
• Strategy & Leadership: Define BI strategy, align KPIs with GTM priorities, mentor analysts, and collaborate cross-functionally to anticipate needs and proactively deliver insights

Do you have experience in Tableau?, * Analytics expertise: Multiple years of hands-on experience in BI / Data Science / GTM analytics.

• Deep SaaS GTM Metrics Knowledge: Deep knowledge with SaaS go-to-market KPIs across the full customer lifecycle.
• Strong Tableau Expertise: Proven ability to own dashboards end-to-end, including design, optimization, performance, and governance.
• SQL & Data Warehouse Skills: Advanced proficiency in SQL and experience with Snowflake or a comparable data warehouse environment.
• dbt & ETL Tools: Strong understanding of dbt and modern ETL/ELT tools, with experience building and maintaining data models and pipelines.
• Python/R: Ability to use Python or R for analysis, modeling, automation, or advanced statistical workflows.
• Applied Data Science Methods: Experience with predictive modeling, clustering, regression techniques, and time-series forecasting in practical business contexts is preferable but not a pre-requisite
• Strong Communication & Storytelling: Excellent ability to translate complex SaaS KPI's and data insights into clear, compelling stories for executives and non-technical stakeholders.
• Leadership Potential: Demonstrated capacity to lead from the front, drive cross-functional alignment, and inspire confidence in data-driven decisions.

At Shiftmove, we're building the next generation of connected mobility products that empower businesses to make smarter, data-driven decisions. Our goal is to make complex operations intuitive and efficient, turning insights into impactful action for thousands of B2B customers across Europe., * Learning & Development: Clear career paths and an annual learning budget of €2,000, among other opportunities. * Home Office? No problem! We have a beautiful office in the heart of Berlin where we meet twice a week. * Workation: Up to 12 weeks of remote work from any country or continent you want! * Autonomy: We want to hire you for your expertise and knowledge, and we'll give you the space to do your best work. * Sustainable Growth: We are profitable, generate more than €60M in ARR, and continue to grow - in a highly sustainable way, backed by a leading private-equity firm focused on technology and software. * Culture: You'll join a highly collaborative and high-performing team where you can contribute ideas, challenge others, and be challenged yourself.