This position is no longer available
Hybrid

Shiftmove was looking for a GTM Senior Data & Analytics Manager (f/m/d)

Shiftmove is hiring a GTM Senior Data & Analytics Manager (f/m/d) to join our Revenue Operations team. You will sit at the intersection of data science, BI analytics, and SaaS GTM strategy, owning the Tableau platform end-to-end and driving our BI strategy forward. We are a profitable, high-growth company generating more than €60M in ARR and backed by a leading private-equity firm.

What You'll Do

  • Own Tableau (Desktop, Prep, Server/Cloud): build, optimize, and govern dashboards; establish best practices; ensure performance and scalability.
  • Drive Tableau adoption and enable trust in reporting across all GTM teams, from executives to front-line managers.
  • Own end-to-end GTM analytics (funnel, pipeline, conversion, churn/retention, CARR, NRR, GRR, LTV/CAC) and apply techniques like predictive modeling, cohort analysis, segmentation, and forecasting.
  • Run deep-dives into Sales performance trends, identify leading vs. lagging indicators, and translate findings into clear business stories and recommendations for leadership.
  • Partner with Data Engineers on pipelines and models across Salesforce, marketing automation, finance, and product usage; ensure data quality and governance within a modern data stack.
  • Define the BI strategy, align KPIs with GTM priorities, mentor analysts, and collaborate cross-functionally to anticipate needs and proactively deliver insights.

What We're Looking For

  • Multiple years of hands-on experience in BI, Data Science, or GTM analytics.
  • Deep knowledge of SaaS go-to-market KPIs across the full customer lifecycle.
  • Proven ability to own Tableau dashboards end-to-end, including design, optimization, performance, and governance.
  • Advanced proficiency in SQL and experience with Snowflake or a comparable data warehouse environment.
  • Strong understanding of dbt and modern ETL/ELT tools, with experience building and maintaining data models and pipelines.
  • Ability to use Python or R for analysis, modeling, automation, or advanced statistical workflows.
  • Excellent ability to translate complex SaaS KPIs and data insights into clear, compelling stories for executives and non-technical stakeholders.
  • Demonstrated capacity to lead from the front, drive cross-functional alignment, and inspire confidence in data-driven decisions.
  • Must have worked directly with GTM Metrics in previous roles.

Nice to Have

  • Experience with predictive modeling, clustering, regression techniques, and time-series forecasting in practical business contexts.

Technical Stack

  • Tableau (Desktop, Prep, Server/Cloud)
  • SQL
  • Snowflake
  • dbt
  • Python
  • R
  • Salesforce

Team & Environment

You'll be part of our Revenue Operations team, working alongside Data Engineers and BI Analysts within a company of 201-500 employees. We are a highly collaborative and high-performing team where you can contribute ideas, challenge others, and be challenged yourself, with the autonomy to do your best work.

Benefits & Compensation

  • 30 days of vacation per year.
  • Urban Sports Club membership, Hrmony subscription, JobRad, or a subsidy for a BVG ticket.
  • 1 mental health day per year and access to the Nilo.health platform.
  • Annual learning budget of €2,000.
  • Workation: Up to 12 weeks of remote work from any country or continent.

Work Mode

This is a hybrid role. We are hiring for positions in Germany - Berlin, Poland - remote (Wroclaw preferred), and France - remote (Paris preferred).

Shiftmove is an equal opportunity employer.

Required Skills
TableauSQLSnowflakedbtPythonRSalesforceData AnalyticsData ModelingA/B TestingDashboard DevelopmentData GovernanceStatistical Analysis TableauSQLSnowflakedbtPythonRSalesforceData AnalyticsData ModelingA/B TestingDashboard DevelopmentData GovernanceStatistical Analysis
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About company
Shiftmove
Shiftmove builds connected mobility products that empower businesses to make smarter, data-driven decisions. It is a fleet tech company formed from a merger of two leading European fleet management companies.
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Posted 5 months ago